Journal of value creating in Business Management

Abstract The aim of this research is to design a marketing process model for customer relationship management in digital platforms of the banking industry. The research method is applied in terms of its purpose and qualitative in terms of its implementation. The statistical population of the study included 16 marketing experts, academics, and banking industry managers, selected through purposive or snowball sampling. Semi-structured interviews were used to collect data. Data analysis and coding were conducted in grounded theory. Based on the results of qualitative analysis, five categories of overarching categories were identified, including: causal factors of the customer relationship management model in digital platforms in the banking industry (technology, organizational, individual, technological factors) Phenomenon-oriented factors (electronic channels, company organization, employee empowerment) Strategic factors (electronic marketing, customer interaction, internal exchanges, learning and innovation) Contextual factors (trust-building behavior) Intervening factors (political factors, organizational factors) The outcomes (customer satisfaction and loyalty, customer trust) were identified. The results of the quantitative section, while confirming the research hypotheses, showed that the proposed model has appropriate validity.

Abstract Abstract This study was conducted to investigate the mediating role of emulation and status-oriented consumption in the effect of consumer materialism on the intention to purchase Apple products. The research method is applicable in terms of its purpose, quantitative in terms of its implementation method, and descriptive-correlational in terms of its nature and method. The statistical population of the study was all consumers over 18 years of age of the Apple brand in Yazd. The statistical sample was selected from the aforementioned individuals using the convenience sampling method. A standard questionnaire based on the 5-point Likert scale was used to collect research data. The content validity of the tool was confirmed by experts and Cronbach's alpha method and composite reliability were used to measure the reliability of the tool. By distributing the questionnaire, the validity of the tool was measured with three methods: construct validity (external model), convergent validity (AVE), and divergent validity. The AVE value for all variables should be greater than 0.5. SPSS and PLS software were used to analyze the data. The research findings show that consumer materialism does not have a direct positive and significant effect on Apple brand consumers' purchase intention. However, the mediating role of status-oriented consumption and emulation in the relationship between materialism and purchase intention was confirmed. Introduction Consumer materialism is one of the key variables in consumer behavior research. Consumer materialism is defined as a system of deep beliefs and values ​​on the importance of having and obtaining material goods; such that materialistic consumers place ownership and collection of goods at the center of their lives and see it as a way to achieve personal satisfaction, happiness, and social identity (Shammout et al., 2022). Consumer materialism can be described as a value-based orientation in which material goods and the consequences of owning them are the main criteria for measuring one’s success, happiness, and status in society; such consumers tend to exhibit more impulsive buying behaviors, dependence on goods, and status competition (Štefko et al., 2025). Studies show that the motivation to purchase luxury brands has increased significantly for Asian consumers. Cultural values ​​have been shown to influence consumer behavior in many studies. Establishing the relationship between cultural values ​​and the motivation to consume luxury goods is useful for luxury goods marketers. Materialism seems to be one of the important factors affecting the intention to purchase luxury goods (Shammout et al., 2022(. Status-oriented consumption, the tendency to wear expensive and flashy clothes, the tendency to consume expensive goods, the display of honors, and the desire to show off one's lineage are among the characteristics of the affluent class of societies (Safari, 2024). Other behavioral characteristics of this class include: avoiding productive and physical work, pretending to be comfortable, tendency towards conservatism to make oneself appear respectable, tendency to show off one's lineage, longevity, and a competitive and predatory nature. Along with competitive methods, this class is always busy with consumption, extravagance, and ostentatious self-display to show off their honors in order to vanquish others in the battlefield. Another type of consumption considered in this study is the display or show-off consumption, the main purpose of which is to attract the attention of others and differentiate themselves from others, which is done with the emulation (Yang et al., 2025). In Iran, consumer behavior patterns have undergone significant changes in recent years and have tended towards consumerism, which reveals the need for investigation and behaviorism more than ever. In describing the new wave of consumerism in the last few years, we can point to issues such as oil revenues (and as a result, the uncontrolled import of final consumer goods), the targeting of subsidies (the emergence of new consumer classes and the creation of a fixed monthly income for a part of society), the rejuvenation of society, etc. In light of the above explanations, the main issue of this research is the effect of consumer materialism on purchase intention with regard to the mediating role of the variables of emulation and status-oriented consumption among Apple brand consumers in Yazd. Theoretical foundations Consumer materialism Consumer materialism is a personal goal that leads individuals to have a greater commitment to buying and owning material goods. On the other hand, materialism is an individual's attachment to material things and worldly possessions to achieve their desires. Materialists consider the acquisition of goods as their personal goal, which affects their lifestyle (farhodi et al., 2025). Status-oriented consumption Status-oriented consumption refers to a pattern of consumer behavior in which individuals choose goods and brands to display their social status, success, and distinction from others. Contemporary research considers status-oriented consumption beyond mere display consumption and analyzes it as a multidimensional construct related to social identity, self-concept, and symbolic brand values ​​(Han et al., 2022). In today's markets, premium technology brands such as Apple have provided a suitable platform for the emergence of status-oriented consumption due to their global reputation, high price, and distinctive design. Prestige-seeking motives are even stronger predictors of purchase intention for prestige brands compared to functional factors such as perceived quality (Han et al., 2022). Emulation Emulation refers to a situation where an individual desires to have similar expensive objects or goods or to do relatively similar tasks and activities that his friends or those around him do; because the individual is worried about being considered less important than others in social terms. Emulation has caused consumers to focus on social and emotional needs in addition to functional needs, and emulation-based shopping is often an irrational purchase and is made to define the identity of the users by the product (Sojoodi, 2024). Štefko et al. (2025) examined the "Relationship between materialism, consumer ethnocentrism and compulsive shopping in the Slovak market". The results showed that higher levels of materialism are directly related to higher levels of compulsive shopping; but the mediating role of ethnocentrism between materialism and compulsive shopping was not confirmed. Barbieri et al. (2025) investigated the "Relationship between consumer materialism and impulse buying". The study included a systematic review and meta-analysis, and scientific literature was reviewed until March 2024. In total, 55 studies were selected according to the inclusion criteria. The results showed that there was a positive and significant correlation between impulse buying and all dimensions of materialism. Age and gender did not play a significant role in moderating the relationship. Şen Doğan (2025) investigated the "Effect of materialism on impulse buying through the Diderot effect among 416 adult consumers in Turkey in digital environments". The results showed that materialism increases the Diderot effect. The Diderot effect strengthens impulse buying. Materialism affects impulse buying both directly and indirectly through the Diderot effect. Research Methodology This study is applicable in terms of purpose, and descriptive-correlational in terms of method. The statistical population of the study is all consumers of the Apple brand over 18 years of age in Yazd. To collect data, a researcher-made questionnaire on a five-point Likert scale was used. The findings from the Cronbach's alpha test and composite reliability to measure the reliability of the research tool are reported in Table 2. To examine the validity of the tool, content validity (expert opinion survey) was used and its validity was confirmed. Then, by distributing the questionnaire, the validity of the tool was measured with three methods: construct validity (external model), convergent validity (AVE), and divergent validity. The AVE value for all research variables must be greater than 0.5. In order to test the research hypotheses, structural equation modeling was used in the context of smart pls2 statistical software. Findings The variables of status-oriented consumption and emulative behavior play a full mediating role in the effect of consumer materialism on purchase intention, and the findings also showed that consumer materialism affects the purchase intention of Apple brand consumers in Yazd through the variables of status-oriented consumption and emulative behavior. Discussion and Conclusion The results showed that the direct effect of consumer materialism on purchase intention is not significant. This is consistent with the findings of Shammout et al. (2022) which concluded that the direct relationship between materialism and the intention to purchase luxury goods of Jordanian consumers is not significant. In other words, they found that Jordanian consumers purchase luxury goods more to maintain their social status and to follow the current trends in their social groups. Another result indicated that consumer materialism has a significant and direct effect on status-oriented consumption. This finding is consistent with the findings of Dinh & Lee (2024) who found that exposure to social media content and influencers activates social comparison processes and strengthens materialistic tendencies and ultimately the tendency to status-oriented consumption (Dinh & Lee, 2024). The results showed that consumer materialism has a significant effect on consumers' purchase intention through the mediation of status-oriented consumption. The result of this study is consistent with Balabanis & Stathopoulou (2021) who found that materialistic consumers are more inclined to make status-oriented purchases. This indicates that consumers with high materialistic values ​​are more inclined to consume for prestige and status and are likely to be driven to purchase under the influence of the need for uniqueness (Balabanis & Stathopoulou, 2021). Materialists tend to buy symbolic goods to restore or enhance their social image, and this status-oriented behavior can lead to purchase intention (especially for luxury or symbolic goods) (Dinh & Lee, 2024). The results showed that consumer materialism has a significant effect on consumers' purchase intention through the mediation of mediatory and emulation. The result of this study was consistent with the study of Shammout et al, (2022). It showed that materialism in societies with higher percentages of social attitudes can be described as traditions and norms within a cultural environment where interpersonal influences are strong and people tend to conform to others until materialism becomes their social norm (Shammout et al., 2022).

Abstract Abstract The aim of this study is to present a customer participation model in insurance services in the social media context. The research method is applicable in terms of its purpose, and qualitative in terms of its implementation method, based on the grounded data method. The statistical population of the study includes 8 insurance management experts. The sample size was carried out using the snowball sampling method. Semi-structured interviews were used to collect information. The grounded data technique and MAXQDA software were used to analyze the data. The research findings showed that the pivotal phenomenon is influenced by 13 causal indicators or factors; and 6 contextual indicators or factors and 10 intervening factors are able to affect customer participation in insurance services in the social media context. In addition, the research results led to the identification of 6 different strategies that can be effective in achieving 6 different outcomes of customer participation in insurance services in the social media context. Introduction Among the benefits of customer participation in insurance services in the context of social media are increasing customer trust, increasing opportunities for feedback and service improvement, improving customer awareness, and increasing their satisfaction. By using social media, insurance companies can stay in touch with customers, respond to their comments and criticisms, and provide solutions to improve services. Also, these media allow customers to share their experiences with others and benefit from the experiences of others. Given that social media is considered a public space for exchanging information and opinions, insurance companies can also use this space to provide the best services based on the needs and preferences of customers. Social media is often used as a marketing tool for brand management and product or service promotion, in order to provide customers, which can be measured through the use of marketing and identifying the level of customer participation in the organization (Wilkinson, 2023). The existence of social media platforms, by becoming active producers or destroyers of corporate value, empowers customers to interact more with companies, making it important for companies to understand customer experiences when customers interact with social media (Liu et al., 2021). The level of interaction and feedback that customers have with social media can be considered as an important way to evaluate the performance of media, which specifically leads to the type of content and orientation of social media (Doyle et al., 2022). Today, social media has gained popularity among individuals and organizations as an important platform for selling their services and building relationships with customers. Social media is one of the most important precursors of relationships between customers and organizations, through which customers and organizations can achieve higher levels of service through customer participation (Nasrallahi et al., 2020). In the insurance industry and the provision of insurance services to individuals, customer participation in social media platforms confirms that engaged customers participate in generating ideas and behaviors such as sharing knowledge and ideas to support the insurance industry that shape their own experiences. Also, customer participation in social media platforms helps to create psychological benefits for customers, so that insurance companies can provide the best insurance services (Abdolmaleki & Ahmadian, 2016). Social media are new phenomena that play a vital role in insurance in terms of providing services to human resources, marketing, customer service and public relations. Social media provides insurers in insurance with mutual communication with customers and provides various opportunities to listen and engage individuals and groups in personal conversations. Therefore, the main objective of this study is to address this research gap and contribute to the existing literature by analyzing the main factors of customer participation in social media platforms in insurance and its effects on performance. The result of this study greatly helps to fill the theoretical gap in this research field. Therefore, the main question of this research is: How will the customer participation model in insurance services be presented in the context of social media? Theoretical Framework Customer Engagement Customer engagement is the act of engaging and motivating customers to take part and actively participate in various processes of a business. This concept is based on the principle that customers make a business and without their presence and cooperation, a company's products or services cannot be marketed well or succeed. Customer engagement helps companies better understand the needs and wants of their customers and then improve their products and services based on these needs. This increases customer satisfaction and increases their trust in the company (Luo et al., 2024). Social Media Among all new technologies and techniques, social media have the greatest cultural impact on the behavior of individuals in society. These media are very effective in developing new habits, changing human beliefs and moods and behavior. Researchers believe that the emergence of new activities has created a new revolution in marketing communications. One of the most common of these activities on the Internet is social media, which has been defined as a new version of communication technologies (Heydariyeh & Farjo, 2019). Saghafian et al., (2024) examined the presentation of a model of customer engagement with brands on social networks with an emphasis on cultural differences. The results of the qualitative part show that this research includes 14 dimensions and 30 components, and the results of the quantitative part show that the dimensions and components of customer engagement with brands have an effect on social networks with an emphasis on cultural differences. The results also show a strong and very appropriate fit of the model. Mashhadizadeh et al., (2024) examined a communication model of customer engagement and competitive business with social media based on brand in manufacturing and trading companies in Ahvaz city. The findings showed that the identified factors had a significant effect and the overall goodness of fit (GOF) index was 0.661, which is a strong index and indicates the overall high quality of the model. Research Methodology The research method is applicable in terms of its purpose, and qualitative in terms of its implementation method, based on the grounded theory method. The statistical population of the research includes 8 insurance management experts. The sample size was selected using the snowball sampling method. A semi-structured interview was used to collect information. Research Findings The grounded theory technique and MAXQDA software were used to analyze the data. The research findings showed that the pivotal phenomenon is influenced by 13 causal indicators or factors; and 6 contextual indicators or factors and 10 intervening factors are able to affect customer participation in insurance services in the context of social media. In addition, the results of the study led to the identification of 6 different strategies effective in achieving 6 different outcomes of customer participation in insurance services in the context of social media. Conclusion The present study was conducted with the aim of providing a model of customer participation in insurance services in the context of social media. These findings are consistent with the results of Saghafian et al., (2024), Mashhadizadeh et al., (2024), Zhang et al., (2023), Asgharzadeh et al., (2023), Rahimi et al., (2023), Yazdani Kachuei et al., (2022), Shekarchizadeh & Hakim Akif Esfahani (2021), and Dedeoglu (2019). Rahimi et al., (2023) showed that there is a positive and significant relationship between digital content marketing and brand awareness. Social media and customer engagement also play a significant mediating role in the relationship between digital content marketing and brand awareness. It is clear that digital content marketing, as a new phenomenon, plays a vital role in showcasing the brand name, strengthening customer relationships, and increasing brand awareness, customer loyalty, and sales. The following suggestions were made based on the research results: Brand messages should be designed with high precision and specifically based on customer demands. In this context, it is suggested that brands use personalized approaches and organize their content in a way that provides the ability to establish two-way communication with customers. In addition, brands should be able to present their content in a diverse way that attracts customer interaction with both attractiveness and added value. Motivational and time factors can also create limitations in the engagement process.

Abstract Abstract The aim of this study is to investigate sales drivers in assessing the authenticity of emerging brands through measuring deep neural networks (DNN). The present study is applicable in terms of purpose, and mixed (qualitative-quantitative) in terms of implementation, and is an exploratory research type. The statistical population of the study in the qualitative section included 10 experts and academic experts proficient and familiar with the fields of marketing and branding. The research collection tool was a semi-structured interview. Data analysis in the qualitative section was carried out through coding and using MAXQDA software, and in the quantitative section using neural net and MATLAB software. The results of the study showed that 8 research criteria were identified, including brand continuity, brand credibility, brand coherence, brand symbolism, market homogeneity, market competition, market infrastructure, and political decisions. Also, all predictions of the proposed artificial neural network are made correctly, and the network is able to correctly identify and classify all outputs based on the defined inputs. Introduction In today's business world, brands play an important role in creating differentiation and attracting customers. Brand authenticity is one of the key concepts in modern marketing that refers to the extent to which customers perceive the credibility, honesty, and true values ​​of a brand (Morhart et al, 2015). Brand authenticity is especially important for emerging brands that are in the early stages of their development. This concept is especially important for emerging brands that do not yet have a strong and established position in the minds of customers (Beverland, 2021). Investigating the interaction between sales drivers and the authenticity of emerging brands is important due to the challenges in this field, especially in competitive markets. On one hand, the use of sales incentives can help increase brand awareness and accelerate customers’ decision-making process. On the other hand, if these incentives are not designed properly, they may lead to a decrease in the perception of brand authenticity (Steenkamp & Geyskens, 2014). For example, excessive discounts or excessive use of promotional tools may send contradictory messages about the true value of the brand (Dwivedi & McDonald, 2018). On the other hand, sales incentives can have a positive impact on brand authenticity in certain situations. For example, offering targeted and temporary discounts or using incentives consistent with the brand’s values ​​and message may strengthen customers’ emotional connection with the brand and improve their perception of brand authenticity (Holt, 2020). A review of the literature on the impact of sales incentives on consumer behavior and brand authenticity reveals that although there are studies on the impact of sales incentives on consumer behavior and brand authenticity, a limited number of studies have focused specifically on emerging brands and their specific challenges. In particular, fewer studies have examined how sales incentives can be used in a way that both helps increase short-term sales and reinforces the image of brand authenticity. Therefore, the main research question is: What is the role of sales incentives on the authenticity of emerging brands?  Theoretical Framework Sales Incentives Sales incentives are one of the most effective marketing tools that are widely used to stimulate consumer buying behavior, increase sales, and create competitive advantage. These incentives are usually designed as short-term strategies that aim to immediately increase demand (Chandon et al, 2000). Sales incentives can have significant effects on consumer purchasing behavior, and can encourage consumers to make immediate purchases by creating a sense of urgency and greater value. Price discounts, especially on high-priced products or price-sensitive categories, often lead to increased sales volume (Liao et al, 2021). Brand Authenticity Brand authenticity refers to the alignment of a brand’s actions with its values, history, and promises, and refers to a brand’s ability to demonstrate honesty and align with customer expectations. This concept encompasses several dimensions, including authenticity, coherence, and transparency (Napoli et al, 2016). This concept is particularly important for emerging and developing brands, as consumers often seek real values ​​and meaningful connections when choosing brands (Bruhn et al, 2017). Mousavi et al, (2023) investigated the effect of brand authenticity on the self-concept of domestic brand customers by explaining the mediating role of brand social power. The research findings show that brand authenticity has a positive and significant effect on customer self-concept. Also; brand social power has a positive and significant effect on customer self-concept. As a general conclusion, it should be added that products similar to the characteristics of authentic brands in terms of customer self-image are more likely to be selected for use by the target customer community due to the social power of the brand. Nurani Kutenaee et al, (2021) in a study titled "Modeling Store Brand Competitiveness Based on the Environmental Stimuli Pattern in Chain Stores: A Mixed Approach" concluded that managing external and internal environmental stimuli in the store through an enjoyable shopping experience can create authenticity, attachment, and store brand image, which results in increasing market share, creating a powerful brand and competitive advantage, and ultimately making the store brand competitive.  Research Methodology The present study is applicable in terms of purpose, and mixed (qualitative-quantitative) in terms of implementation, and is an exploratory research type. The statistical population of the study in the qualitative section included 10 experts and academic experts proficient and familiar with the fields of marketing and branding. The research collection tool was a semi-structured interview. Research findings Data analysis in the qualitative section was carried out through coding and using MAXQDA software, and in the quantitative section using neural net and MATLAB software. The results of the study showed that 8 research criteria were identified, including brand continuity, brand credibility, brand coherence, brand symbolism, market homogeneity, market competition, market infrastructure, and political decisions. Also, all predictions of the proposed artificial neural network are made correctly, and the network is able to correctly identify and classify all outputs based on the defined inputs. Conclusion The present study was conducted with the aim of investigating sales drivers in evaluating the authenticity of emerging brands through measuring deep neural networks (DNN). The results of this study are in line with the results of Mousavi et al, (2023), Nurani Kutenaee et al, (2021), Mohammadi et al, (2021), Grewal et al, (2020), Holt (2020), Yavarigohar & Koraghli (2019), Van-Dat (2018), Dwivedi & McDonald (2018), Chen et al, (2017), Napoli et al, (2014), and Steenkamp & Geyskens (2014). Holt (2020) concluded in their study that emerging brands should use sales stimuli that reflect real values ​​and cultures. In this study, brand symbolism, which has a cultural context, has been pointed out in a relatively similar way, which can play a role as one of the criteria related to sales stimuli. According to the research results, the following suggestions are made: Commercialization of knowledge-based goods in the Iranian pharmaceutical industry can help develop research and innovation in this industry. It is suggested that by producing and supplying innovative drugs, research should be conducted to gain more knowledge about diseases and their treatment methods. This research can lead to scientific and medical advances in the country and improve treatment methods.

Abstract Abstract The present study aims to provide a recurring marketing strategy with a customer credibility determination approach using neural network data mining. The method of this research is applicable in terms of purpose, and is of a mixed type (qualitative-quantitative) in terms of implementation. First, by using the content analysis method, the key components of recurring marketing were identified and the initial optimization framework was designed. Then, the Delphi method and structured interviews with experts in the field of marketing and customer management were used to validate the indicators. In this study, a combination of the K-Means++ clustering algorithm and the RFM model was used to segment customers and identify groups in need of marketing interventions. Also, by using decision trees and artificial neural networks, the rules for validating customers and the accuracy of predicting their behavior have been improved. The research findings show that this combined framework not only improves the accuracy of clustering, but also allows designing personalized strategies for each group of customers. The results indicate that the recency index has the greatest impact in determining customer value, and the integration of transactional data with demographic and behavioral characteristics provides more comprehensive insights for marketing decisions. By filling the gaps in previous research, especially in the area of ​​interpretability and generalizability of models, this research has taken an effective step towards developing theoretical and applicable knowledge of return marketing. Introduction Customer value is defined as the perception of what a product or service can be useful to the customer, compared to possible alternatives. By benefit, we mean whether the customer feels that he or she receives certain benefits by purchasing a product in exchange for a certain amount of money. Lifetime value shows the profit from the customer relationship for the entire period from the moment he saw the first advertisement or registered on the site to the last purchase. Lifetime value affects the amount of revenue: the more regular customers a company has, the higher its revenue. How can you calculate lifetime value? To calculate lifetime value, you can multiply the average purchase size by the number of purchases and the retention period. Or divide the total revenue by the total number of users for a given period. In this regard, customer credit is one of the crucial issues and is very important for maintaining the financial security and sustainability of the organization. One of the fundamental challenges in this area is identifying the appropriate indicators for crediting and scoring customers. Therefore, determining correct and reliable indicators is very challenging. Segmenting customers into different prominent groups and designing personalized activities for each cluster is a vital technique for determining marketing tactics (Rajesh et al., 2024). Also, to score customers, there must be an appropriate and fair scoring system. This system must be able to place customers in different categories by considering credit and behavioral criteria and assign them appropriate points based on their performance (Wulansari & Heikal, 2024). In addition, there is a need to develop methods to evaluate and monitor customers over time. The aim of this research is to present a return marketing strategy with a customer credit determination approach using data mining. However, so far, the inability to discover valuable information contained in the collected data has prevented this data from being converted into valuable and usable knowledge in the organization, and data mining tools can help organizations discover hidden knowledge in a large amount of data (Calisir et al., 2016). Therefore, this research seeks to answer the question: what does a return marketing strategy with a customer credit determination approach using data mining look like? Theoretical Framework Return Marketing Return marketing is a suitable method for retaining current customers and increasing their loyalty. Using retention marketing techniques, customers can be encouraged to buy again and even share the brand with others (East et al., 2006). Customer Loyalty Loyalty is defined as an emotional and attractive connection to a brand and a practical action over time. In this definition, an individual prefers a particular brand to other brands and makes decisions as a psychological commitment to it. (Cardinale et al., 2016). Moula et al. (2024) in a study on customer type discovery and its impact on increasing hotel revenue: a data mining approach, reached the following results. Demand estimation is a fundamental component of revenue management systems. The demand for a product can be determined from the customers who purchase it. Identifying customer types in this field is a challenging endeavor that has recently been solved using metaheuristic and mathematical techniques. The metaheuristic method takes advantage of the lack of data in the business ecosystem, starts with random samples, and uses a fit function as a guide throughout the operation. The approach proposed in this study builds the ecosystem by combining complementary data to identify valuable customer types. The researchers use a new periodic table with additional data to achieve this goal. Subsequently, the relevant data is reduced through a data mining clustering method, and finally an algorithm and fit function are used to identify valuable customer types. To validate this approach, the proposed solution was compared with the latest research in the field, including genetic, memetic, and mathematical approaches. The researchers’ results showed that the model has lower error, with a maximum reduction of 34% and an improvement in value of up to 7%. Singh et al. (2024) examined customer churn in banking: A machine learning approach and a coherent program leveraging data science and management. According to this paper, customer churn in the banking industry occurs when consumers stop using the goods and services offered by the bank for a period of time and then discontinue their relationship with the bank. Therefore, customer retention is essential in today’s highly competitive banking market. In addition, having a strong customer club helps in attracting new consumers by strengthening the trust and referrals of existing customers. These factors make reducing customer churn an important step that banks should follow. In their study, Singh et al. examined banking data and predicted which users were most likely to stop using bank services. The researchers used various machine learning algorithms to analyze the data and show a comparative analysis on different evaluation criteria. Research Methodology The method of this study is applicable in terms of purpose, and mixed (qualitative-quantitative) in terms of implementation. First, by using the content analysis method, the key components of remarketing were identified and the initial optimization framework was designed. Then, the Delphi method and structured interviews with experts in the field of marketing and customer management were used to validate the indicators. Research Findings In this study, a combination of the K-Means++ clustering algorithm and the RFM model was used to segment customers and identify groups in need of marketing interventions. Also, by using decision trees and artificial neural networks, the rules for validating customers and the accuracy of predicting their behavior were improved. The findings of the study show that this combined framework not only improves the accuracy of clustering, but also allows designing personalized strategies for each group of customers. The results indicate that the recency index has the greatest impact in determining customer value, and the integration of transactional data with demographic and behavioral characteristics provides more comprehensive insights for marketing decisions. By filling the gaps in previous research, especially in the area of ​​interpretability and generalizability of models, this study has taken an effective step towards developing theoretical and practical knowledge of return marketing. Conclusion The present study was conducted with the aim of presenting a return marketing strategy with the approach of determining customer credibility using neural network data mining. The results of this study are in line with the results of Moula et al. (2024), Singh et al. (2024), Egorenkov (2024), Dwivedi et al. (2024), Haghi & Hamidi (2024), Khadivar & Mehmannavazan (2023), and Sharifi Esfahani et al. (2023). Dwivedi et al. (2024) showed that service quality and employee behavior have a positive and significant effect on customer satisfaction. To satisfy customers and retain them, customer relationship management must be strong and reliable. Therefore, customer relationship management plays a vital role in increasing market share, productivity, improving in-depth knowledge of the customer and his satisfaction to increase loyalty to the organization. Based on the research results, the following recommendations were made: Offering products tailored to age, occupation, or geographic region (e.g., student facilities for young customers). Offering digital services (e.g., e-wallets) to customers who transact online.  

Abstract Abstract The aim of the current research is to design a joint branding model using the structural-interpretive modeling method. The research method of this study is exploratory in terms of nature, with a mixed approach. In order to collect data and identify factors; the method of content analysis and review of related texts was used, as well as interviews with ten selected experts using a non-random method and snowball technique to achieve theoretical saturation. To achieve the research findings, a matrix questionnaire was constructed. Findings were compiled to determine the relationships between indicators. The data obtained from the questionnaire were analyzed using structural-interpretive modeling and depicted on three levels in an interactive network, as a result of which the factor of banking dynamics was placed at the highest level. Also, the amount of influence and the degree of dependence of these factors on each other were investigated in the matrix of influence-dependency. According to the results, the dynamic index of banking and target customers are located in the matrix of influence-dependency in the dependent area, i.e., the highest degree of dependency; and the least influence and service evaluation factors, human force dynamics, organization development, mental norm are located in the connected area, i.e., the highest power of influence and the highest interdependence. Introduction One of the latest brand development approaches is co-branding. Based on the studies, it is expected that joint marketing measures will increase significantly in the coming years. Surveys show that 38% of companies carry out joint marketing measures, including joint branding, at an increasing rate (Nygaard & Dahlstrom, 2023). Rao & Ruekert (2017) defined co-branding as the integration of two or more products in short-term or long-term periods. Of course, these researchers redefined their definition of joint branding in the following years. According to them, this method occurs when two or more existing and independent brands join together in a common product or are marketed together in a similar form (Abbaszadeh et al, 2018). Considering that the current research is about joint branding in the banking industry, the banking industry is one of the businesses that have grown rapidly in recent times, so that accessibility of the banks is easier than other trades, in any area of an urban environment, and this is also due to many researches that have been done in the field of availability of bank branches; but why should there be so many branches of this industry in a human society, while in modern banking, borders have disappeared? Now, due to the merger of five banks and military financial institutions (Ansar, Qavamin, Kotsar, Hekmat and Mehr Eghtesad Iran) in Sepeh Bank, one of the main concerns is creating a suitable image of the Sepeh brand and presenting a common model for the brand, because neglection to this may have negative consequences on other bank businesses, such as the decrease in deposits, operating profit and the bank's rating in this industry. Based on the mentioned cases, what is the basic problem of the current research of the joint branding model in the banking industry? Theoretical framework Despite the different definitions that have been presented in relation to branding, all experts agree that the brand is a very important intangible asset for organizations, and plays an effective role in gaining a competitive advantage (Ruschman, 2020). A brand enables an organization to differentiate its market offerings from competitors. Consequently, strong brands are very important for any type of product, service or organization, including those in the public sector (Drostkar et al, 2022). Co-branding is a kind of strategic alliance between parties. In recent years, creating strategic alliances with co-branding has become common in many industries, because the co-branding strategy has the ability to achieve significant synergy, which focuses on the unique strengths of each of the co-brands. Rao and Ruckert, at the beginning of their research, defined co-branding as the integration of two or more products in short-term or long-term periods (Labrović et al, 2021).  Research methodology The purpose of this research is to provide a local model of joint branding in the banking industry. Therefore, in terms of nature, the research is exploratory with a mixed approach. Interpretive Structural Modeling (ISM) has been used to determine the sequence and relationships between the identified elements. In order to collect data and identify factors, the method of content analysis and review of sources, books and interviews with participants, which include university experts and organization experts who have a series of characteristics such as doctorate degrees and scientific productions (books, articles, etc.) and the background of high performance in this field was used. Also, non-random sampling and snowball technique were used to select experts until theoretical saturation was achieved. MATLAB software was used for interpretive structural modeling (ISM). Research findings In this section, the relationships between research factors were analyzed in pairs and couples, and led to structural-interpretive modeling and the use of the relationship between experts' concepts, using the following symbols to determine the relationships between factors. The structural interaction matrix itself is composed of research dimensions and factors and their comparison through four modes of concept relations. The final accessibility matrix (FRM) is formed by applying the existing multiplicative relationships among the factors. In this way, the next stage of the implementation of the ISM methodology can be completed. In this matrix, secondary relationships between factors are controlled. In order to analyze the power of penetration and the degree of dependence (MICMAK), the factors are classified into four groups. In order to calculate the influence of factors, it is enough to add the number of 1's in each row of the final access matrix.  Conclusion In this research, joint branding factors have been identified. After identifying the factors through the achievement matrix, an attempt was made to examine the factors affecting co-branding. Based on the results of the research, the factor of banking dynamics is located at the first level, the factor of target customers at the second level, and the factors of service evaluation factors, human force dynamics, organization development, and mental norm at the third level. Co-branding to support a new product or service has emerged as a legitimate and legal way to develop a brand, especially to establish or maintain competitive advantages, which represents the long-term cooperation strategy of a product by two brands. Considering the increasing intensity of competition in the market, joint branding between companies has become a tool to achieve the interests of both sides of strategic partners. Co-branding can influence consumer perceptions such as trust, confidence, satisfaction and commitment. Therefore, it should be noted that the relationship between partners can be considered as a process, so that the common brand is trusted when that brand is similar to the consumer. This reduces the feeling of discomfort and inconsistency, thereby making the brand more reliable. The ability to trust the product will bring consumer satisfaction, and the consumer in the next step will commit to the brand. And in order to maintain this process, it is necessary to create a competitive advantage by adopting creative and innovative strategies, and competitors cannot imitate it.

Abstract Abstract The purpose of this research is to provide a suitable digital marketing model for small and medium industries in Iran. The research method is a mixed research (qualitative-quantitative). Based on this, in the qualitative part of the research, a meta-composite qualitative research method (Sandelovski and Barroso) has been used so as to design a comprehensive model of digital marketing. In the quantitative part, a survey method was used, in which 261 questionnaires were distributed among the employees of small and medium industries in three provinces of Azarbaijan-Eastern, Western and Ardabil, selected by stratified sampling, and analyzed using confirmatory factor analysis method.  The research findings show 6 dimensions (including: marketing strategy, digital content marketing, suitable digital tools, engaging customers, converting visitors into customers, interacting with target customers), 18 components, and 54 indicators that determine the digital marketing model in Iran's small and medium industries. The results of the research show that the dimensions, components and indices extracted from the metacomposite method (research model) were approved by the target community. Also, in the ranking of the dimensions of digital marketing for small and medium industries; "Achieving the target customer and interacting with them" and "engaging the customer" are located in the first place among the 6 dimensions; and "turning visitors into customers", "digital content marketing", and "appropriate digital tools" in the second place; and finally "marketing strategy" in the third place. Introduction Small and medium industries are one of the most important economic sectors in every country (Bromand Jazi, 2021). Small and medium-sized and fast-yielding industries play a very important role in the direction of increasing production and employment, especially to maintain and strengthen the country's economic foundation in difficult economic conditions (Taghavifard et al, 2023). One of the challenges that small and medium-sized industries face in the path of becoming market-oriented is what actions to take and based on what dimensions (Danishian & et al, 2018). Also, the increase of small companies has aggravated the deviation from the centralized state towards international relations full of intense international competition (Talali & et al, 2012). With the emergence of new informatics technologies and everyone's access to the Internet communication network, changes have been made in the capabilities of industrial units, production methods, distribution and the organizational structure of industries (Esgandari, 2016). Therefore, small and medium industries are increasingly facing dynamic and changing environments, and have to adapt themselves to these conditions. In today's era, the convergence of information technology, media and communication has changed the behavior of consumers in terms of searching, obtaining, processing and responding to company information or services (Zarei & Mohamadkhani, 2024). Also, the rapid adoption and expansion of social networks have provided new opportunities for industries, by studying online content provided by users, to understand consumer insight toward communicating and using online communities. (Moradi Ziba et al, 2023). Since the arrival of the Internet in the commercial field and the beginning of the web world, there have been tremendous changes in business (Bagheri Anilo et al, 2023). Also, the complexity and intensification of competition in foreign markets has caused manufacturing-export companies to face many problems due to the inability, or weakness due to lack of familiarity with marketing technology and capabilities to carry out marketing activities (Mousavifard & Hasani, 2022). In this regard, they have proposed "digital marketing" activities, which include mobile marketing, search engine-based marketing, email marketing, social network-based marketing, etc. (Dwivedi et al., 2020). In "digital marketing" it becomes possible to provide information more easily and optimally. The number of internet users is increasing day by day. The cost of advertising on the Internet is much more appropriate. It is possible to monitor and control online advertising without intermediaries; and all these things and advantages make this phenomenon more useful (Khorsandi Noshahri et al, 2023). The necessity of developing "digital marketing" strategies helps small and medium industries to be successful in online marketing and to make the right decisions in this direction (Moradi Ziba et al, 2023). Regarding this, social networks are currently sharing a new potential for people to share their knowledge with others (Gholi Pour Damieh, 2022). Therefore, considering the large amount of use of information and communication technology by small and large companies in the field of marketing; there is a necessity to carry out a research that fits the needs of small and medium industries, which are the engines of development of any country. Also, considering that the researches carried out in the field of digital marketing mostly indicate the identification of factors affecting digital marketing strategies, and in this regard, various domestic and foreign researches have been designed and implemented around the world until today, but, no research has so far been done in the field of designing a digital marketing model suitable for small and medium industries in Iran; the main question of the research is: What is the appropriate model of digital marketing for small and medium industries in Iran?  Theoretical framework Digital Marketing: The term "digital marketing" has been referred to as a subset of "marketing management" and also "advertising management" since two decades ago (Moradi Ziba et al, 2023). "Digital marketing" includes the set of all tools and activities that are used to market products and services on a digital platform (web, mobile internet or other digital tools) (Waziri Gohar & Abdolhosani, 2020). Digital marketing, so called, is an umbrella over all the online marketing efforts of industries that use digital channels such as Google search engine, social media, e-mail, and their websites to communicate with their current and future customers. Many people today start their purchases from search engines, that is, before buying a product, they find it on the Internet and research it. It may be concluded that the old and traditional ways of doing business are not that effective anymore (Moradi Ziba et al, 2023). In other words, "digital marketing" makes it possible to achieve marketing goals by using the methods and tools of the world of digital technology. It should be noted that digital marketing does not happen in a vacuum and is most effective when it is integrated with other communication strategies and methods such as face-to-face communication, telephone, etc. (Sedaghati & Seiedin, 2023). Small and medium industries: According to the definition of the Ministry of Industries and Mines and the Ministry of Agricultural Jihad; small and medium industries are industrial and service units that have less than 50 workers. Also, Iran's Small Industries and Industrial Towns Organization, as the main guardian of Iran's small industries, defines industries and businesses with less than 10 employees as minor industries, industries with 10 to 49 employees as small industries, industries with 50 to 150 employees as medium industries, and industries with more than 150 workers are considered large industries (Orafayejamshid, 2023). On one hand, these industries can be considered as the former industries of large-scale activities (economic space), and on the other hand, they can cause the growth and especially the development of an industrial complex and the surrounding areas by relying on the economies of aggregation (geographic space) (Bromand Jazi, 2021). Small and medium industries are vital for most economies in the world, especially developing and emerging economies (Ndiaye et al, 2018). Small and medium industries play two roles at the same time: 1. "accelerating economic growth" through expanding their participation in production, and 2. "reducing poverty" through the effects of creating employment and generating income from the growth of products. Considering the turbulent environment of the economy and market in Iran and the issue of the lack of quick adaptation of small and medium businesses in the Iranian market, environmental complexity and chaotic environment; Iran's small and medium industries need new solutions in dealing with such an environment. (Orafayejamshidi et al, 2023). Therefore, a new way of marketing in the space of internet businesses in Iran's small and medium industries makes it possible to continue the activity. Research methodology  In term of purpose, the current researchin the first stage is a basic research; and in the second stage (model test), it is considered an applicable research. And in terms of the nature and method, it is a descriptive or non-experimental research, and considering that the researcher is looking for modeling of digital marketing in the small and medium industries of Iran, the research method is exploratory. On the other hand, considering that the data required for this research was obtained using a questionnaire, it is considered a survey. The statistical population in the quantitative part of the research is all the employees of the industrial towns of Azarbaijan-Eastern, Western and Ardabil provinces in the number of 810 people. The sample size was calculated based on Cochran's formula as 261 people. The method and tool for collecting information in the qualitative part (supercomposition) of the present research is the library method, which means studying books, publications and specialized texts through searching in databases (Internet); and in the quantitative part (survey) using a "questionnaire". Research findings It was shown in the qualitative part of the research findings (use of meta-composite method to extract dimensions, components and indicators of digital marketing) and also in the quantitative part of the research (analysis of data collected from the target population) that the present research model consists of 6 dimensions, 18 components, and 54 indicators that can show the digital marketing model in Iran's small and medium industries. Based on the findings, it can be said that all 6 dimensions; 1. Marketing strategy, 2. Reaching the target customer and interacting with them, 3. Converting visitors into customers, 4. Engaging customers, 5. Appropriate digital tools, and 6. Digital content marketing have created significant weight and at the level 95% confidence have been able to have a significant factor load.  Conclusion In the general conclusion, the dimensions and components and results of the final model of digital marketing for small and medium industries in Iran in Figure (5), with a confidence factor of 95%, have a favorable dependence and coherence. Based on the obtained results, it can be said that all 6 dimensions; 1. Marketing strategy, 2. Reaching and interacting with the target customer, 3. Converting visitors into customers, 4. Engaging customers, 5. Appropriate digital tools, and 6. Digital content marketing have been reviewed and have created significant weight, and at the confidence level. 95% have been able to have a significant workload. Numerous researches are in line with the results of this research, so that Muditomo & Wahyudi (2022), Pakparvar (2022), Amoli-Diva (2022), and Zamani et al (2022) in their research have introduced "Preparation of digital transformation roadmap" and "Strategy "Continuously producing attractive and user-friendly content" as the main core of digital marketing. In other studies, Shafeian et al., (2020), Mosayebi Amid Abadi et al., (2022), Hoseini et al., (2022), Foruzandeh et al., (2021), and Chaffey & Smith (2018), showed that promotion of digital marketing will take place in the shadow of marketing strategy development (developing a competitiveness plan in the digital arena, developing a digital marketing perspective), and "marketing strategy" is an influential factor in the growth and strengthening of digital marketing. According to the results obtained from the research, the following suggestions are presented:  Managers of small and medium industries should continuously provide attractive and user-friendly content production strategy for all customers of the industrial estates company.  Managers of small and medium industries in Iran should try to provide employees with marketing in social media such as Instagram, WhatsApp, ETA, etc. through various trainings.  Customer support in social networks in Iran Industrial Estates Company; Possibility of creating a suitable environment for using the newsletter for customer membership and online customer club  Using email marketing, mobile marketing, Facebook, Instagram, Twitter, LinkedIn, YouTube, Telegram, WhatsApp, Pinterest, Snapchat, Chatbot, Ita, Soroush, Rubika.  Using different content (podcast and video production, infographics, blogging...)

Abstract Abstract
The aim of the present study is to develop a model of factors affecting the success of cryptocurrency startups in Iran with an emphasis on stakeholder participation. The research is exploratory in nature and its method is applicable and mixed (qualitative-quantitative) in terms of implementation, considering the research objective, including grounded theory for the qualitative part and survey strategy for the quantitative part. The statistical population in the qualitative part included 12 founders of cryptocurrency startups, specialists and experts active in financial markets and digital currencies, selected by the snowball sampling method, and the statistical population in the quantitative part included 197 activists and users of cryptocurrency Iranian startups in the past year. Data collection in the qualitative part was carried out through semi-structured interviews, and in the quantitative part through a questionnaire. MAXQDA software and coding were used in the qualitative data analysis; and SPSS and PLS software were used in the quantitative data analysis. In the qualitative data analysis, 267 initial codes were identified in the form of 40 non-repetitive concepts and 10 subcategories, which include causal conditions, pivotal phenomena, mechanisms and strategies, platforms and contexts, intervening conditions, and consequences. In the quantitative data analysis, the findings from the statistical data analysis through structural equation modeling showed that the relationships between these categories were meaningful and the research hypotheses were confirmed. The results of the analysis showed that effective stakeholder participation and regulatory transparency are key factors in the success of cryptocurrency startups in Iran.
Introduction
In the past decade, blockchain technology and cryptocurrencies have been recognized as fundamental innovations in the fields of finance and information technology. Features such as decentralization, transparency, and security have made these technologies a powerful tool for reshaping economic and business processes (Tapscott & Tapscott, 2016). Meanwhile, startups active in the field of cryptocurrencies have provided new opportunities for growth, capital attraction, and value creation by utilizing this technology. A startup is technically any type of company that offers completely new products, services, or mechanisms in the field of growth, commercialization, and production, and is driven by intellectual property or new technology (Tyagi, 2022). On one hand, startups create jobs and cause economic growth, and on the other hand, they play a fundamental role in solving some of the important challenges of society (McCarthy et al., 2023). These companies have enormous potential in improving the level of innovation and competitiveness of the national economy (Abbasi et al., 2024). Previous research has mainly focused on technical or economic aspects, while the strategic role of stakeholder engagement as a critical factor in the success of these startups has been less explored (Moradi & Ghaffari, 2023). This research gap highlights the need to develop an integrated model. From a fundamental perspective, this research provides a new framework for understanding the dynamics of cryptocurrency startup success by integrating stakeholder management and digital entrepreneurship theories. From an applicable perspective, the findings of this research can help policymakers, investors, and startup founders design operational strategies and set smart regulations. Recent studies in the field of cryptocurrency startup success have mainly focused on internal factors such as blockchain technology (Zhang et al., 2021) or external factors such as government regulations (Rahmani et al., 2021). Therefore, this research seeks to answer the question: What are the factors affecting the success of cryptocurrency startups in Iran with an emphasis on stakeholder participation?
Theoretical Framework
Success of Cryptocurrency Startups
Startups are new businesses that seek to solve a problem or respond to a market need with new models. Despite economic and political challenges, significant growth in the establishment of startups is observed in the Iranian entrepreneurial ecosystem. However, the high failure rate in this area requires a more detailed analysis of the reasons for their success or failure (Moradiziba et al., 2023). The concept of success of cryptocurrency startups has been defined in a multidimensional manner in contemporary research literature. Success is considered to be the achievement of financial stability, market acceptance, and long-term survival in the digital ecosystem, while Lee & Wong (2022) emphasize operational indicators such as the growth of active users and transaction volume.
Adegbite (2024) studied the impact of government and central bank involvement on the success of cryptocurrency startups, and their findings showed that transparent regulations and institutional support from governments and central banks play a vital role in the growth and development of cryptocurrency startups. These factors help build public trust and attract investors, leading to the sustainable growth of these startups.
Soleimani (2024) examined new digital marketing strategies for the growth and development of startups. The findings of this study show that utilizing new digital marketing approaches can not only increase the effectiveness of marketing campaigns, but also help startups gain sustainable advantages in competitive markets. This article aims to be a useful resource for entrepreneurs, marketing managers, and digital marketing researchers by providing practical suggestions for implementing these strategies in startups, especially in emerging environments and developing economies. These suggestions include creating appropriate digital infrastructure, training employees, collaborating with professional consultants, and using advanced analytical tools to monitor and evaluate the performance of marketing campaigns.
Research Methodology
The research is exploratory in nature and; considering the research objective, its method is applicable and mixed (qualitative-quantitative) in terms of implementation; including grounded theory for the qualitative part and survey strategy for the quantitative part. The statistical population in the qualitative part included 12 founders of cryptocurrency startups, specialists and experts active in financial markets and digital currencies, selected by the snowball sampling method, and the statistical population in the quantitative part included 197 activists and users of cryptocurrency Iranian startups in the past year. Data collection in the qualitative part was done through semi-structured interviews and in the quantitative part through questionnaires.
Research findings
Coding and MAXQDA software were used in the data analysis of qualitative part, and SPSS and PLS software were used in the quantitative part. In the qualitative part, 267 initial codes were identified in the form of 40 non-repetitive concepts and 10 subcategories, which include causal conditions, pivotal phenomena, mechanisms and strategies, platforms and contexts, intervening conditions and consequences. In the quantitative part, the findings from the statistical data analysis through structural equation modeling showed that the relationships between these categories were meaningful and the research hypotheses were confirmed. The results of the analysis showed that effective stakeholder participation and regulatory transparency are key factors in the success of cryptocurrency startups in Iran.
Conclusion
The present study aimed to develop a model of factors influencing the success of cryptocurrency startups in Iran with an emphasis on stakeholder participation. The findings of this study are consistent with previous studies of Adegbite (2024), Abbasi et al. (2024), Soleimani (2024), Moradiziba et al. (2023), Radmehr & Sohrabi (2023), Keshvari (2022), Hosseini & Ahmadi (2021), Roshani et al. (2020), Kalinov & Erofeeva (2023), Nakamoto (2019), Carstens (2019), Tapscott & Tapscott (2016), Benetton & Compiani (2024), and Allen et al. (2023). Adegbite (2024) showed that transparent regulations and institutional support from governments and central banks play a vital role in the growth and development of cryptocurrency startups. These factors help to build public trust and attract investors, leading to the sustainable growth of these startups.
Based on the results of this study, the following suggestions are made:
For the development of cryptocurrency startups, several practical and strategic suggestions can help facilitate and accelerate the growth of this industry. The first step is to formulate transparent and sustainable legal and regulatory policies that help facilitate the activities of startups. This requires cooperation between government institutions and the private sector to regulate innovative regulations and create support mechanisms investigated by the central bank, so that the supervision and development of the cryptocurrency industry is facilitated in a desirable way. In addition, the development of technological and security infrastructure is also of particular importance. To address hacking threats and security issues, more investment is needed in cybersecurity and technology infrastructure.

Abstract Abstract The purpose of the present study is to design an interactive content marketing model with an emphasis on its role in shaping the purchasing decisions of digital consumers in Iraq. In terms of purpose, this research is applicable, and in terms of execution, it is qualitative; the adopted strategy is exploratory, and the method utilized is thematic analysis. The research population consists of 21 faculty members and experts in the field of digital and interactive marketing in Iraq, selected based on purposive sampling and the data saturation technique. The data collection tool is semi-structured in-depth interviews. For data analysis, thematic analysis and MAXQDA software were employed. The findings of the thematic network analysis revealed 6 organizing themes, 14 basic themes, and 58 primary codes as the components and categories of interactive content marketing with an emphasis on its role in shaping digital consumers’ purchasing decisions. The (organizing) themes were presented in 6 dimensions: strategic factors, consumer factors, brand factors, consumer value-creation attitude, content personalization strategy, and responsiveness and feedback. The results indicated that interactive content marketing, as an emerging and effective strategy, plays a significant and influential role in shaping and strengthening the purchasing decisions of digital consumers. Introduction In the current digital age, social networks have become one of the primary hubs for interaction, communication, and information exchange between businesses and consumers (Zamani et al., 2022). These platforms are not only used as a base for marketing and advertising but have fundamentally transformed the nature of marketing communications through their interactive capabilities (Bazi et al., 2020). Meanwhile, the concept of “Interactive Content Marketing” has emerged as a novel and effective strategy, capturing the attention of researchers and marketing professionals. Unlike traditional methods that were largely based on one-way message dissemination, this type of marketing emphasizes creating a two-way dialogue, encouraging active audience participation, and crafting personalized experiences. On the other hand, the consumer purchasing decision process, especially in the digital context, has undergone significant transformations (Lou & Xie, 2021). Today, digital consumers go through complex stages of information searching, option comparison, evaluating other users’ opinions, and interacting with brands in online spaces—particularly social networks—before taking action to buy. This process is not a simple linear sequence but rather a cyclical and dynamic path where the customer moves repeatedly between stages of awareness, consideration, evaluation, and action (Chang et al., 2025). This necessitates a deeper understanding of the factors influencing the formation of these decisions. Despite the increasing importance of interaction in virtual space, few studies have specifically examined the role of “interactive content” in shaping purchasing decisions within the context of developing markets like Iraq (Bianchi & Andrews, 2023). One of the concepts that marketers currently focus on regarding consumer consumption behavior is the creation of pleasant experiences and their impact on consumer behavior. Creating diverse experiences as a vital element in marketing strategies can create value and lead to a competitive advantage (Holliman & Rowley, 2024). The process of online shopping involves purchasing goods directly from the seller without intermediaries, which can be defined as the activity of buying and selling goods via the internet. Online shopping transactions provide customers with a variety of products and services, allowing them to compare these products with those of other intermediaries and select the best option (Daroch et al., 2021). In the Middle East region, and specifically in Iraq, the rapid expansion of internet penetration and smartphone usage has led to the emergence of a massive population of digital consumers who perform a significant portion of their daily activities—including searching for product information, interacting with brands, and shopping—through social networks. The Iraqi market, with its young and tech-savvy population, provides a dynamic environment for studying digital phenomena. Specific socio-cultural characteristics of this market, including the importance of word-of-mouth communication, trust in personal recommendations, and the strong role of family and community in decision-making, have made the potential of social networks and interactive content in influencing consumer behavior highly significant in this country (We Are Social & Hootsuite, 2024). Therefore, the present study seeks to answer the following scientific question: What is the interactive content marketing model with an emphasis on its role in shaping the purchasing decisions of digital consumers in Iraq? Theoretical Framework Interactive Marketing Interactive marketing is an innovative form of marketing in which audiences can engage and communicate with your content. In this approach, a brand provides a relevant and appropriate response based on the specific actions and movements of each customer and audience member. This method allows brands to act more creatively and tell more compelling stories, thereby attracting a larger audience. Unlike outbound marketing methods, interactive marketing creates an environment where customers and the brand can engage in a two-way dialogue (Lufkin, 2024). Zhu et al. (2026) investigated the design of a content marketing process model aimed at strengthening customer purchase intention. The results of this research indicated that to achieve modern marketing based on social media—characterized by two-way interactive dialogues and feedback reception (a many-to-many communication system)—organizations should prioritize these elements in their information dissemination, advertising, and health tourism marketing programs. Ahmadi alinoudehi et al. (2026) analyzed the dimensions and components of digital transformation management based on Artificial Intelligence (AI). The results of their study indicated that AI-based digital transformation management is designed within four overarching categories: “contextual requirements,” “digital infrastructure,” “digital transformation management process,” and “organizational capital.” These include 12 organizing categories: “ethical requirements,” “cultural requirements,” “organizational requirements,” “hard digital infrastructure,” “soft digital infrastructure,” “digital transformation management process,” “digital transformation planning,” “prototyping,” “learning,” “human capital,” “process capital,” “structural capital,” and “social capital,” comprising a total of 73 basic categories. Methodology In terms of objective, this research is applicable, and regarding its execution, it is qualitative. The adopted strategy is exploratory, and the chosen method is thematic analysis. The research population consists of 21 faculty members and experts in the field of digital and interactive marketing in Iraq, selected through purposive sampling utilizing the data saturation technique. The data collection instrument employed is semi-structured in-depth interviews. Research Findings Data analysis was conducted through the thematic analysis method and MAXQDA software. The findings from the thematic network analysis identified 6 organizing themes, 14 basic themes, and 58 primary codes as the components and categories of interactive content marketing, emphasizing its role in shaping the purchasing decisions of digital consumers. The organizing themes were categorized into six dimensions: strategic factors, consumer factors, brand factors, consumer value-creation attitude, content personalization strategy, and responsiveness and feedback. The results demonstrated that interactive content marketing, as an emerging and effective strategy, plays a vital and influential role in shaping and reinforcing the purchasing decisions of digital consumers. Conclusion The present study was conducted with the aim of designing an interactive content marketing model, emphasizing its role in shaping the purchasing decisions of digital consumers in Iraq. The results obtained from these findings are consistent with the research of Zhu et al. (2026), Ahmadi Alinoudehi et al. (2026), Jalalzadeh et al. (2025), Abolhasani Abrghan & Dadash Karimi (2025), Bagher Mosavi & Fadai (2024), Shakeri (2024), and Zamani et al. (2022). Notably, Zhu et al. (2026) demonstrated that to achieve modern marketing based on social media—characterized by two-way interactive dialogues and feedback reception (a many-to-many communication system)—organizations must prioritize these elements in their information dissemination, advertising, and health tourism marketing programs. Based on the research results, it is suggested that to reach the optimal state of marketing and customer loyalty, organizations should involve their employees across various fields and departments. The company should supervise and participate in business operations and the mapping of employees’ professional futures, while simultaneously pursuing competitive excellence in its programs.

Abstract Abstract The present study aims to explain how customer mindset affects the tendency to order food online. The research method is applicable in terms of its purpose, with a quantitative approach. The statistical population of this study was 384 customers of food ordering applications and the sampling method was available sampling. A questionnaire was developed to collect data and PLS Smart software was used to analyze the findings. The findings showed that advertising (impact coefficient: 0.410 to 0.480) and the ordering experience with the app (0.428 to 0.454) have the greatest effect on the relevance of content, competitors, and app features. Customer mindset with a coefficient of 0.861 is one of the most important variables, strengthened through time savings (0.328), rewards (0.526), ​​and support (0.590). Also, living conditions (up to 0.519), food quality (up to 0.271), and food price (up to 0.187) play a significant role in interaction with the application. The results showed that food quality, food price, and living conditions are independent variables. These factors affect advertising and ordering experience. The aforementioned components affect the components of app features, app content relevance and competitors. Therefore, it is suggested that food ordering application developers focus on these key factors to improve customer experience and increase the willingness to buy on digital platforms. Introduction Today, buying goods and receiving services is no longer limited to physical stores, but with the expansion of e-commerce, people can use online stores and digital platforms to buy and receive services. This evolution in business models allows companies to reach a wider audience and make the purchasing process easier for customers. Online stores have provided consumers with many advantages, including ease of price comparison, shopping anytime and anywhere, and access to a wide variety of goods and services (Al Maalouf et al., 2025). Therefore, businesses are increasingly using Internet technology to improve their business processes, allowing companies to deliver their services and products to customers faster and more efficiently, create a competitive advantage, facilitate customer relationship management, and reduce costs (Alalwan, 2020). In recent decades, online food ordering services have been rapidly changing and evolving in the food service industry market. These changes, especially in the food retail sector, have led researchers to carefully examine how consumers interact with these platforms. Despite the significant use of these services, there has not been enough research on consumer behavior towards online food ordering (Yang, 2024). In particular, studies that have examined consumer behavior in this area are limited in number, and more up-to-date research is needed to better understand this trend (Alvarez et al., 2022). Some studies have focused on factors such as convenience, accessibility, and delivery time that influence consumers' decision-making in using these services, but in general, there is still no complete understanding of the long-term effects of these platforms on consumer purchasing behavior (Siddiqi et al., 2024). Given that consumer mindset is a new topic that is mostly studied in the field of psychology and has many gaps in the field of consumer behavior, this study attempts to evaluate the role of customer mindset in the willingness to order food online. So far, no research has focused on the mindset of Iranian consumers. This article examines the impact of mindsets and other psychological factors on the willingness to order food online in Iran. Despite the growing body of research in psychology, sociology, and to some extent marketing on the role of mindsets, there is little information on the role of mindsets in online shopping behavior. Therefore, there is a significant gap in the existing knowledge regarding the role of mindsets and their relationship with individuals' willingness to use online space. Thus, the researcher intends to answer the fundamental question: what are the factors affecting customers' mindsets for using online ordering applications? Theoretical Framework Online Ordering While e-commerce is rapidly expanding, the food industry has also gradually found its place in this growing space (Alagoz & Hekimoglu, 2012). Online food ordering applications, as a specific type of e-commerce, provide convenience and time savings to consumers (Dirsehan & Cankat, 2021) and have increased consumers' willingness to use these applications, which is one of the main reasons for the boom of this industry (Ramesh et al., 2023). In fact, applications have helped consumers eliminate unnecessary processes and have more time to do other things (Yeo et al., 2021). These applications have great potential to provide a better quality of life for consumers if they include certain features (Sobnath et al., 2017). Online food ordering is especially suitable for people who live in busy urban environments and have little time because they can place their order online and pick up the food at a designated location (Zulkarnain et al., 2015). These services are very convenient to use because they offer consumers a variety of food options (Idris et al., 2021) and help exchange experiences and feedback between customers and restaurants (Shah et al., 2021). In online food ordering applications, price acts as a determining factor in consumers' purchasing behavior (Lin et al., 2014), and food quality refers to its overall characteristics that affect the customer's experience of the restaurant (Suhartanto et al., 2019). Research Methodology This study is applicable and focuses on quantitative analysis of the relationships between variables. The data collection method is a questionnaire that includes 14 dimensions and 71 items. To verify the validity of the questionnaire, the content validity method was used; in this way, experts in the fields related to consumer behavior and online food ordering were first consulted and the necessary amendments were made based on their opinions, and Cronbach's alpha coefficient was calculated for the reliability of the questionnaire; therefore, the desired variables had the required reliability. Then, the questionnaire was presented to 384 consumers of online food ordering applications as a sample. Research findings SPSS software was used to analyze the findings, and structural equations and PLS Smart software were used to fit the model. The research findings showed that food ordering applications lead to improved customer experience and increased willingness to buy on digital platforms. Conclusion The present study was conducted based on the CMOFO model with the aim of customer mindset and its role in the willingness to order food online. The results showed that food quality and living conditions as independent factors have a significant impact on advertising and ordering experience variables. This result is clearly in line with previous studies such as the studies of Tewari et al., (2022) and Papadopoulou et al., (2023). Privacy and ordering rewards also affect time savings and follow-up support. These variables are known to be influential factors in consumer decision-making and are in line with the studies of Valenti et al., (2023) and Murphy & Dweck (2016). According to the present study, the following suggestions are made: Accurate, realistic and practical information in effective advertising Continuous application updates Assuring users to protect personal information Providing services tailored to specific segments of society

Abstract Abstract The aim of the current research is to identify the components of brand equity creation in Iran's garment industry. The research method is of a fundamental type with an exploratory purpose; and in terms of the implementation method, it is mixed (qualitative-quantitative). The statistical population in the qualitative section is made up of managers who are members of the Supreme Council of Iranian Clothing Brands, 16 of whom were selected based on the snowball method; and in the quantitative section, the statistical population is all customers who refer to Iranian clothing shopping centers, which due to the unlimited nature of the population, with Using Cochran's formula, 387 people were selected as the sample size by simple random sampling. Data collection was carried out by interviews in the qualitative part; and by a researcher-made questionnaire in the quantitative part, and the validity of the questionnaire was confirmed by the professors' confirmation method, and its reliability was confirmed by Cronbach's alpha. Coding, along with grand theory method was used in the qualitative data analysis; and SPSS and AMOS software in the quantitative part. According to the results obtained in this research, the four components of internal brand power, brand awareness, positive image of the brand, and perceived value are the most key components of creating brand value in Iran's clothing industry, and the obtained model has a good fit. Introduction In today's world, which is the world of consumerism, companies try to attract more audiences through different tricks, but in the end, it is the mind of the customer that determines the power of a brand and turns it from a simple brand to a brand (Rastgar et al., 2016). In other words, brand is a perceptual concept that is rooted in the realities of the product on the one hand, and expresses the perceptions and personal characteristics of the consumer on the other. In fact, the concept of brand is something beyond the product (Keller, 2012). Brands are defined by individuals, not companies. Because the inner feeling and perception of each person is different and in the end each person creates his own version of the brand; as a result, the brand is a completely relative concept that part of which is in the mind of the individual and other part in the mind of society (Moghaddam, 2023). Customers are the most important and fundamental source of brand value determination. If a company can imitate the production processes and product features, it certainly cannot imitate the positive experiences and memories of customers that have been obtained from years of buying and consuming products. Thus, brand equity helps companies gain competitive advantages, and creating, maintaining, improving, and preserving brand equity is one of the most privileged abilities of a brand manager. Therefore, the higher the value of a brand, the more loyal customers and fans it will have (Mohabbat Talab & Rezvani, 2018). On the other hand, the fashion industry is one of the growing industries that is constantly changing and evolving. Considering that we live in the age of information and communication, people can easily access the latest information in various fields, including fashion (Solomon, 2019). Identifying the components of the brand equity in any industry can, in addition to increasing the credibility and reputation of the brand, help to make the market more competitive, change the mentality of mistrust of goods made in Iran - which clothes are not excluded - and provide a basis for revising the incorrect macro-policies in support of Iranian quality products, so as to a big step be taken to develop and strengthen the national brand in the clothing industry. In this research, we are looking for an answer to the question: how to identify the components of brand equity creation in Iran's clothing industry? Theoretical Framework Brand equity The definition of the international marketing dictionary of brand equity defines the values, assets, funds and perceptions related to a product, service, or idea that are assigned to it and promoted by the creator of that product, service, or idea (Khalilnejad, 2021). After the correct implementation of branding and influence in the mind of the audience, the sum of the activities that lead to influence in the customer's heart and favor and customer's loyalty of the brand is called the brand equity (Hoseinzade & Baktash, 2018). Amiri & Rezaei (2023) investigated the analysis of consumer buying behavior influenced by awareness of sustainability in the fashion industry (case study: clothing industry). The results showed that the cognitive component including knowledge and awareness, the emotional component including emotions and feelings, and the behavioral component including the purchase decision; as dimensions of attitude towards the concept of sustainability, affect the purchasing behavior of fashion industry consumers in the field of clothing. Mohammadi et al, (2023) investigated the understanding of the phenomenon of brand courage in the fashion industry. The results showed that the model of brand courage phenomenon in the fashion industry includes five components: "brand-related features", "brand social actions", "advertising-related features", "competitor-related actions" and "customer-related actions". Research methodology The research method is of a fundamental type with an exploratory purpose; and in terms of the implementation method, it is mixed (qualitative-quantitative). The statistical population in the qualitative section is made up of managers who are members of the Supreme Council of Iranian Clothing Brands, 16 of whom were selected based on the snowball method; and in the quantitative section, the statistical population is all customers who refer to Iranian clothing shopping centers, which due to the unlimited nature of the population, with Using Cochran's formula, 387 people were selected as the sample size by simple random sampling. Data collection was carried out by interviews in the qualitative part; and by a researcher-made questionnaire in the quantitative part, and the validity of the questionnaire was confirmed by the professors' confirmation method, and its reliability was confirmed by Cronbach's alpha. Research findings Coding, along with grand theory method was used in the qualitative data analysis; and SPSS and AMOS software in the quantitative part. According to the results obtained in this research, the four components of internal brand power, brand awareness, positive image of the brand, and perceived value are the most key components of creating brand value in Iran's clothing industry, and the obtained model has a good fit. Conclusion The current research was conducted with the aim of identifying the components of brand equity creation in Iran's clothing industry. The results of this research are aligned with the results of Amiri & Rezaei (2023), Mohammadi et al, (2023), Taleghani et al, (2022), Yazdani Kachuei et al, (2022), Rezaeian & Asgari (2021), Azimi et al, (2021), Ghorbani dolatabadi et al, (2021), Khademi et al, (2022), Ishaq & Di Maria (2020), Beig & Nika (2019), and Molse et al, (2019). Ishaq & Di Maria (2020) showed that sustainability in brand equity is effective in reducing consumer cynicism and removing significant flaws in the current conceptualization of brand equity. According to the results of this research, the following suggestions are presented: It is suggested that the supporting roles of the government to implement the brand equity model in Iran's garment industry should be further investigated. It is suggested that the training needs of employees of Iranian clothing brands should be taken into consideration to improve the internal strength of the brand.

Abstract Abstract The aim of this study is to present a conceptual model for managing post‑purchase anomalies in the pharmaceutical industry (Case Study: Darou Mofid Iran Company). This research is applicabel in terms of outcome, qualitative in terms of data type, and developmental–exploratory in terms of purpose. The study population consists of experts in the pharmaceutical industry, among whom 15 individuals were selected as the sample through purposive sampling until theoretical saturation was reached. To ensure the validity of the research instrument, the opinions of professors familiar with the subject were used. Inter‑coder reliability was applied to measure the reliability of the interviews, and MAXQDA software was used for data analysis. The extracted model follows Strauss and Corbin’s paradigm model, addressing all its dimensions, including causal conditions, core phenomenon, contextual conditions, intervening conditions, strategies, and consequences. In the strategies dimension, the components include improving monitoring and control systems, increasing transparency and trust‑building, identifying and classifying customers, providing services tailored to the target community, strengthening interaction and continuous communication, and digitalizing processes and communications. In the consequences dimension, the identified components include increased trust, improved satisfaction, strengthened mental image, reduced complaints, increased loyalty, reduced hidden anomaly‑related costs, decreased overdue claims, improved supply chain, enhanced competitive advantage, and reduced product bundling. Introduction Today, the consumer is considered the key determinant of a company’s success or failure. Therefore, understanding and studying consumer behavior is of great importance (Seifi Shojaei et al., 2024). In the pharmaceutical industry, consumer behavior and the way individuals interact with pharmaceutical products after purchase represent a fundamental aspect of the performance of pharmaceutical and healthcare companies (Khaja Mansouri et al., 2024). Consumer purchasing behavior refers to the decision‑making process and the choices individuals make during the buying process (Shoa Kazemi et al., 2025). Given the current competitive environment in which companies seek to attract consumers and maintain their loyalty, paying attention to post‑purchase issues and managing the anomalies that may arise at this stage is essential (Azar et al., 2020). Post‑purchase anomalies refer to problems that consumers encounter after purchasing a product, which may negatively affect customer satisfaction, trust in the brand, and ultimately the credibility of pharmaceutical companies. Proper management of these issues requires careful and strategic attention (Khang et al., 2024). In addition, in this industry, managing relationships between distribution companies and pharmacies (business‑to‑business) as part of the pharmaceutical supply chain is critically important. Anomalies that occur in the post‑purchase stage between distribution companies and pharmacies can disrupt pharmacy operations, reduce final consumer satisfaction, and even lead to irreparable harm to public health. The role of distribution companies as a vital intermediary between manufacturers and pharmacies is highly significant, and failure to properly fulfill this role leads to challenges related to post‑purchase anomalies. Neglecting timely resolution of such issues can result in disruptions in patient access to essential medicines, bringing about severe socio‑economic consequences (Kuo et al., 2020). Studies conducted in Iran have predominantly focused on end‑consumer behavior, and deeper understanding of the complex interactions between distribution companies and pharmacies has been overlooked. To date, no comprehensive or localized framework has been proposed for explaining and analyzing the management of post‑purchase anomalies in the relationships between distribution companies and pharmacies in the pharmaceutical industry. This gap presents a serious challenge and underscores the need for further research. Moreover, previous research approaches have mainly examined the effects of variables such as customer relationship management, brand image, and digital marketing on purchasing behavior, while less attention has been paid to designing efficient managerial models for controlling post‑purchase anomalies. There is a strong need for studies that, through an exploratory and qualitative approach, systematically and deeply clarify the process of anomaly formation, managerial strategies, and their consequences. Therefore, the main question of the present study is: What is the model for managing post‑purchase anomalies in the pharmaceutical industry? Theoretical Framework Consumer Behavior Definitions of consumer behavior in the scientific literature are diverse; however, the American Marketing Association defines consumer behavior as “the study of the processes individuals and groups apply to select, purchase, use, and dispose of goods, services, ideas, or experiences.” This definition emphasizes that when making decisions, the consumer is not merely a passive buyer but an active agent influenced by psychological factors (attitudes, perceptions, motivations), social factors (culture, reference groups), and economic factors (income, price) (De Mooij, 2019). Post‑Purchase Anomalies “Post‑purchase anomaly” is a psychological state that arises after an important or high‑cost purchase decision is made regarding a product or service. This phenomenon is especially significant in marketing and consumer behavior because of its considerable impact on customer satisfaction, brand loyalty, and repeat purchase behavior (Kuo et al., 2020). Okok et al. (2024) examined the effect of marketing capability on the performance of pharmaceutical companies in Kenya. Their findings indicate that marketing capability has a positive and significant effect on the performance of pharmaceutical firms. The study emphasizes the necessity of using modern marketing techniques and paying close attention to customer feedback to enhance the performance of pharmaceutical companies. Sarafarazi et al. (2023) investigated the role of customer relationship management (CRM) quality and brand image in customer trust and loyalty. The results showed that high‑quality CRM and a strong brand image significantly increase customer loyalty in this industry. Research Methodology This study is applicable in terms of its outcomes, qualitative in terms of data type, and developmental‑exploratory in terms of purpose. The study population consists of experts in the pharmaceutical industry, from whom 15 individuals were selected as the sample through purposive sampling. Interviews were conducted with these experts until theoretical saturation was achieved. Research Findings To ensure the validity of the research instrument, the opinions of experts familiar with this field were utilized. To measure the reliability of the interviews, inter‑coder reliability was applied, and MAXQDA software was utilized for data analysis. The extracted model was developed based on Strauss and Corbin’s grounded theory approach, covering all elements of the model, including causal conditions, the central phenomenon, contextual conditions, intervening conditions, strategies, and consequences. In the strategies dimension, the study found that improving monitoring and control systems, enhancing transparency and trust‑building, identifying and classifying customers, providing services tailored to the target audience, strengthening continuous interaction and communication, and digitalizing processes and communications are the key strategic actions for managing post‑purchase anomalies in the pharmaceutical industry. In the consequences dimension, the results revealed that implementing these strategies leads to increased trust, improved customer satisfaction, a stronger brand image, reduced customer complaints, higher levels of loyalty, a reduction in the hidden costs associated with anomalies, a decrease in overdue receivables, improved supply chain performance, enhanced competitive advantage, and a reduction in product‑bundle selling practices. Conclusion The present study was conducted with the aim of presenting a conceptual model for managing post‑purchase anomalies in the pharmaceutical industry (case study: Darou Mofid Iran Company). The findings of this research are consistent with the results of previous studies including Okok et al. (2024), Pourheidari et al. (2023), Raman Akar Reddy (2023), Soltani (2023), Sarafarazi et al. (2023), Khosravi Laqb et al. (2022), Khojeh et al. (2022), Taherpour et al. (2021), Mohammadipour et al. (2021), Mousavi Nasab et al. (2021), Lob et al. (2020), Khankhiro et al. (2021), Kuo et al. (2020), Majd et al. (2020), Mirnezami et al. (2020), Asadi et al. (2019), Hult and Sharma (2019), Fatemi Moghaddam (2016), and Pujari et al. (2016). Okok et al. (2024) demonstrated that marketing capability has a positive and significant impact on the performance of pharmaceutical companies. Their study emphasizes the necessity of employing modern marketing techniques and paying close attention to customer feedback in order to improve the performance of pharmaceutical firms. Based on the results of this study, several suggestions are proposed for future research. These include examining the impact of digital transformation on operational processes and transparency in the pharmaceutical industry with a focus on analyzing its effects on anomaly management, as well as investigating the role of customer relationship management systems in increasing customer satisfaction and managing anomalies through a case study in the pharmaceutical industry.

Abstract Abstract The present study aims to provide a model for developing employee cognitive trust in artificial intelligence. The statistical population of this study includes senior managers of companies in Tehran province, 17 of whom were selected as samples using non-probability purposive sampling. This study was conducted with a qualitative approach and using grounded theory. In-depth semi-structured interviews were used to collect data, and data analysis was performed using open and axial coding methods. Interviews continued until data saturation and were then analyzed using MAXQDA 2022 software. The results show that there are16 subcategories in the form of six classes: the causal factors include transparency, education and awareness, ethical compliance, and defining common roles and goals, are among the factors that help strengthen employee trust. Contextual factors are organizational culture and resources; and intervening factors are employee resistance and system complexity. Strategies include employee training and empowerment as key tools in improving human-machine interactions. Ultimately, the outcomes of this process include AI adoption, improved human-machine interactions, and increased organizational performance. The results of this analysis emphasize the importance of creating transparency, reducing system complexity, and improving employee understanding of the mechanisms and benefits of AI to increase cognitive trust. Introduction The creation of value through digital technologies depends on users’ trust in these technologies. Trust in this context is recognized as a key factor for the acceptance and utilization of new digital technologies. Numerous previous studies have examined the relationship between the transparency of AI systems and human trust in this technology and have obtained mixed results. Some studies have reported a positive relationship. For example, transparency in music recommendation systems can increase user trust (Mehrotra et al., 2024). Given the significant advances in the field of artificial intelligence, how employees interact with these technologies and the level of trust they have in them has become one of the key challenges in workplaces. Cognitive trust is recognized as one of the fundamental pillars in human-machine relationships, which is based on employees’ rational and logical assessments of the capabilities and competencies of artificial intelligence systems. This type of trust has a great impact on decision-making processes, group collaboration, and overall organizational performance (Lukyanenko et al., 2022(. Cognitive trust in artificial intelligence is of great importance because employees need to be confident in the capabilities of artificial intelligence so that they can benefit from it in their decision-making processes and in performing their tasks. Research has shown that when employees trust the capabilities of artificial intelligence systems, their acceptance and effective use in workplaces increases. This trust is particularly important in environments where AI is used as a decision-making support tool (Yu & Li, 2022). Consequently, developing and strengthening employees’ cognitive trust in AI in the workplace, especially given the technical and psychological complexities of this technology, is a key pillar in the process of its effective adoption and use. Given the existing evidence and new research, it is clear that transparency, continuous training, and performance-appropriate assessments of AI can help increase this trust. Thus, a more accurate understanding of how cognitive trust affects employee interactions with AI can not only lead to improved productivity and job satisfaction, but also generally facilitate decision-making processes and improve organizational performance. Therefore, future research should examine these components in more detail and provide more practical models for improving cognitive trust in interactions with AI. The present study seeks to answer the question: what is the model for developing cognitive trust in AI? Theoretical Framework Artificial Intelligence and Trust in Organizations Artificial intelligence, sometimes called machine intelligence, refers to the intelligence displayed by machines in various situations, which is in contrast to the natural intelligence in humans (Bagheri et al., 2024). The use of AI in organizations can generate great value and significantly improve the productivity and effectiveness of organizational performance. In particular, AI can improve the accuracy of recommender systems, gain user trust in these systems, and provide a better user experience (Cicek et al., 2025). Employee Cognitive Trust Cognitive trust is one of the main pillars in organizational relationships that is formed based on employees' rational assessments and conscious analyses of the capabilities, honesty, and predictability of others' behavior. In contrast to affective trust, which is based on emotions; cognitive trust focuses more on competence and professional capabilities (Cicek et al., 2025). In fact, this type of trust is formed when people evaluate the capabilities and honesty of others through rational evidence and previous experiences. Research has shown that cognitive trust has a significant impact on job performance and team interactions and, in complex organizational situations, plays a fundamental role in reducing conflicts and promoting cooperation (Rajabi-Farjad & Atapour, 2021). In various theoretical models, cognitive trust typically includes the dimensions of competence, honesty, and predictability. Competence refers to an individual's ability to perform tasks, integrity refers to fair and ethical behavior, and predictability refers to employees' expectation that others' behaviors will be predictable in different situations (Choudhury, 2022). These dimensions simultaneously affect the formation and strengthening of cognitive trust in workplaces. Research Methodology The present research approach is qualitative and its strategy is based on grounded theory. At the heart of this method, a systematic approach was used to achieve a paradigmatic model. The statistical population of this study included all senior managers of companies in Tehran province; consultants in this field, and academic experts. The sampling method was non-probability purposive sampling and snowball sampling. Research findings 17 interviews were analyzed. In the open coding stage, 613 initial concepts were reduced to 90 primary open codes and 45 secondary open codes after reviewing the data and merging similar concepts. In the second stage of axial coding, secondary codes were classified based on their relationship to similar topics and placed into 16 subcategories (components). In the last stage of open coding, the previously obtained components or subcategories were placed into more abstract categories or categories based on similarities, conceptual connections, and common characteristics between open codes and concepts. In the axial coding stage, the components obtained from the open coding stage were linked together in the form of causal conditions, pivotal phenomena, contextual factors, intervening factors, strategies, and consequences in a paradigmatic pattern. It should be noted that due to the length of the open coding stages, only secondary open codes are referred to for each category. Conclusion The findings of this study indicate that employee training and empowerment are key tools in improving human-machine interactions, which ultimately include the adoption of artificial intelligence, improving human-machine interactions, and increasing organizational performance. At the causal level, a set of key components were identified that provide the context for the formation of cognitive trust. Transparency and explainability of AI performance play an important role in the correct and reassuring understanding of employees, because users trust them more easily when they are aware of how the systems make decisions. The enabling factors also have a profound impact on the formation or weakening of this type of trust, as cultural and organizational contexts. A learning, collaborative, and technology-oriented organizational culture facilitates the faster adoption of new technologies and trust in AI systems. In addition, organizational resources, including expert human resources, budget, technical infrastructure, and senior management support, are factors that, if present, facilitate the path to trust building and, if absent, are considered an obstacle to it. In line with ethical compliance and preventing bias, the results of the study also showed that employees trust AI systems more to use accurate and transparent data for decision-making and also to comply with ethical rules and principles. According to the results of the study, the following suggestions were made:  Designing formal and informal communication platforms such as inter-unit meetings, organizational social networks, and collaborative software to facilitate effective communication between employees and different department  Establishing standard information security frameworks and implementing data quality controls periodically to ensure the accuracy, completeness, and updating of information used in decision-making  Designing user-friendly user interfaces and providing training on working with intelligent systems for employees, so that understanding, controlling, and predicting system behavior is simple and reliable for humans

Abstract Abstract This research aims to model the decline in the value of the Myket brand, as one of the leading platforms for distributing mobile applications in Iran, using Weibull distribution. Data were collected from Myket's financial statements (including operating income of 357 billion Tomans and evaluation costs of 8 billion Tomans per year (2024) and non-financial indicators such as 26 million monthly active users and reports from global platforms such as Google Play and App Store). The statistical population consisted of 10 active digital brands in Iran, of which Myket was purposefully selected. The research method was quantitative and descriptive-analytical, and the analyses were conducted with Python (lifelines package) and R (survival package) software and the maximum likelihood method. The findings showed that the Weibull model predicted the trend of brand value decline with high accuracy (R²=0.92) and identified the decrease of 2.6 million monthly active users and increasing competition with platforms such as Cafe Bazaar as the main factors of the decline in value. Monte Carlo simulation showed that a 10% decrease in users increases the acceleration of brand value decline by 15%. This research was conducted with Providing a localized model suggests that Myket managers maintain and enhance brand value by strengthening the digital platform and developing innovations such as expanding digital content. This model can also be generalized to other native Iranian digital platforms. Introduction Brand valuation is a process that determines the economic and competitive value of a brand and is used in strategic management, capital raising, and market development (Guzmán & Baalbaki, 2021). A brand is not only a symbol that distinguishes one product from others, but also includes all the characteristics that come to mind when a buyer thinks of that brand. These characteristics are the tangible, abstract, psychological, and social characteristics of that product (Meysamiazad et al., 2024). A brand is a fundamental asset of a company. Brands occupy a very special place in the lives of many customers. People try to generalize themselves by using brands and consuming them (Asgari & Naghdi, 2021). In fact, a brand is defined by individuals, not companies, because each person's inner feeling and perception are different and ultimately each person creates their own personal version of the brand; as a result, a brand is a completely relative concept, with part of the brand in the mind of the individual and part of it in the mind of society (Moghaddam, 2023). In today's competitive era, brand valuation has always been a major concern for all business owners in the world. When an organization's or company's brand is valued, hidden, fundamental, and accurate information is obtained about the strength of the brand compared to competitors. As a native digital platform, Myket plays a pivotal role in Iran's digital ecosystem, and maintaining its brand value is of strategic importance to compete with local (such as Cafe Bazaar) and global platforms (such as Google Play and App Store). Iran's digital market faces numerous challenges such as fierce competition, rapid technological advances, economic fluctuations, and regulatory restrictions that lead to nonlinear behavior of brand value. The importance of this research is notable from several perspectives: first, native digital platforms such as Myket have a special place in Iran's digital economy, and strengthening their brand value is vital for competitiveness against domestic and foreign competitors. Second, the lack of localized analytical models for valuing digital brands in Iran has challenged strategic decision-making and reduced development opportunities. Third, the use of Weibull distribution, which is known for its flexibility in modeling nonlinear trends (Lawless, 2003), offers an innovative approach to analyzing brand value in specific Iranian conditions, such as sanctions and high inflation. By providing a comprehensive framework, this study not only fills the gap in the Iranian scientific literature, but also provides a generalizable model for other digital platforms, such as fintech (Zarinpal, App), e-commerce (DigiKala), and digital services (Snap). Unlike traditional methods (ISO 10668), this study provides a localized framework by integrating financial and non-financial data that is generalizable to other Iranian digital platforms and contributes to the theoretical understanding of brand depreciation in volatile markets. This study, using financial and non-financial data from Myket, presents a new model for brand valuation and fills the gap in the application of Weibull for local digital brands; therefore, this research aims to develop a localized and accurate model for valuing Myket's brand and predicting its dynamic trends, including the potential decrease or increase in brand value, using Weibull distribution. The main question of the research is: how is Myket's brand value evaluated accurately using a model based on Weibull distribution and predict its dynamic trends? Theoretical Framework According to the American Marketing Committee (1960), a brand is a name, symbol, or design that distinguishes products or services from those of competitors. The Customer-Based Brand Management (CBBE) model emphasizes the role of brand awareness, perceived quality, and customer loyalty (Yoo et al., 2000). Traditional valuation methods include the income approach (based on future cash flows, such as the DCF model), the cost approach (based on brand creation costs), and the market-based approach (based on the selling prices of similar brands and the ISO 10668 standard). However, these methods have limitations in the digital environment due to the rapid changes and nonlinear behaviors of brands (Christodoulides & Veloutsou, 2022). Brand decline in digital platforms may occur due to reasons such as reduced user engagement, market saturation, or increased competition (Iglesias et al., 2020). The Weibull distribution, as a continuous probability distribution, is widely used in survival and reliability analysis due to its flexibility in modeling temporal and nonlinear data (Lawless, 2003). This distribution, with shape (k) and scale (λ) parameters, can model different patterns of brand decline, from rapid initial decline to gradual decline in later stages. If (k < 1), the decline is rapid at first and then slows down; if (k = 1), the decline is at a constant rate (similar to an exponential distribution); and if (k > 1), the decline is slow at first and then accelerates (Ausubel & Meyer, 1999). These features make the Weibull distribution suitable for analyzing the decline of Myket’s brand in the competitive and economic conditions of Iran. Brand depreciation on digital platforms may occur due to reasons such as reduced user engagement, market saturation, or increased competition (Iglesias et al., 2020). This phenomenon is more complex due to its dependence on dynamic variables such as the number of active users, engagement rate, and annual revenue. Traditional models usually use simple distributions such as exponential or logarithmic, which cannot properly model nonlinear patterns of depreciation (Hyun et al., 2024). Ko (2025) in a study investigated a put option pricing model for car leasing that was designed based on the Weibull distribution. This study compares the performance of the Weibull model with the lognormal model and shows that the Weibull model is more accurate in predicting put option pricing. This study used data from two popular car models in South Korea (Hyundai Sonata and Tucson). After removing outliers (including sales to employees and vehicles with more than 20,000 km per year), the final dataset included 57,472 transactions for Sonata and 14,931 transactions for Osman. Khorasani et al. (2025) in a study, identified and prioritized organizational capabilities that affect brand positioning of food companies. The statistical population of the study included 13 senior managers and marketing and sales managers active in the food industry. A semi-structured interview and a data-driven approach were used, and the results showed that consequences, strategies, contextual factors, intervening factors, and causal factors had the highest weight, respectively. Research methodology This research used a quantitative and descriptive-analytical approach and was conducted with a case study design. Myket was purposefully selected from among 10 active digital brands in Iran, based on criteria such as the number of monthly active users (MAU), market share, and annual revenue. Data is collected from the following sources: • Financial data: Myket’s financial statements, including operating income of 357 billion riyals (223 billion from software sales, 90 billion from advertising, 41 billion from digital traffic, and 3 billion from e-books) and valuation costs of 8 billion riyals in 2024. • Non-financial data: 26 million MAUs, 140 million monthly downloads, 50 million active installs, 180 million monthly searches, and 900 million minutes of digital content streaming in 2024. • Global data: Reports from platforms such as Google Play and the App Store from reputable sources such as Interbrand (2021) and Statista. Due to the lack of complete non-financial data for the years 2020 to 2023, it was assumed that MAU decreased from 30 million in 2020 to 26 million in 2024, which is consistent with the competitive trends in the Iranian market. The independent variable time (t) was defined in monthly intervals from 2020 to 2024, and the dependent variable Myket brand value (V(t)) was measured through financial and non-financial indicators. The moderator variables included competition intensity (cafe market), customer loyalty, marketing budget, and innovation (digital content expansion). The control variables included industry activities, economic conditions, and regulatory constraints. Data analysis was performed with Python (lifelines package) and R (survival package) and the maximum likelihood estimation (MLE) method. The Weibull model was fitted as (V(t) = V_0 \cdot \exp\left(-\left(\frac{t}{\lambda} \right) ^k\right)), where (V_0) is the initial value, (k) is the shape parameter, and (\lambda) is the scale parameter. The validity of the model was assessed with (R^2), MAE, and RMSE. Monte Carlo simulation and tests of stationarity (Augmented Dickey-Fuller, Phillips-Perron), collinearity (VIF), and autocorrelation (Durbin-Watson) were used to ensure the robustness of the model. Research findings The Weibull model showed high prediction accuracy ((R^2 = 0.92), MAE = 0.12, RMSE = 0.15), and outperformed the exponential ((R^2 = 0.78)) and lognormal ((R^2 = 0.80)) models. The estimated parameters ((k = 1.8), (\lambda = 24) months) showed a slow initial decline and a subsequent accelerated decline, which is consistent with the nonlinear behavior of digital brands (Al-Momani et al., 2024). Key factors in the decline included a 2.6 million MAU decline (from 30 million in 2020 to 26 million in 2024) and competition from Cafe Bazaar. Monte Carlo simulations showed that a 10% decline in MAU increases the acceleration of decline by 15%, while an increase of 8 billion riyals in marketing budget reduces it by 8%. Innovations such as streaming 900 million minutes of digital content moderated the decline by 10%. Cox regression analysis confirmed the significant effects of the moderator variables: customer loyalty (HR = 0.52, 48% risk reduction), marketing budget (HR = 0.66, 34% risk reduction), and competitive intensity (HR = 2.18, 118% risk increase). The validity of the model was confirmed with AIC = 233.42, BIC = 240.88, and Anderson-Darling test (p < 0.05). Stationarity tests (ADF: -4.81, (p = 0.00005); PP: (p < 0.05), VIF (< 5), and Durbin-Watson (1.92) showed the robustness of the model. Conclusion This research uses Weibull distribution to model the decline in the value of the Myket brand as one of the leading platforms for distributing mobile applications in Iran. The Weibull model shows a slow decline in brand value in the early stages and an accelerated decline in the later stages, which is consistent with the nonlinear behavior of digital brands. This finding is consistent with the study (Lawless, 2003) that proposes Weibull to model nonlinear temporal phenomena. Compared to (Ko, 2025) that used Weibull to price car put options with high accuracy (compared to lognormal), the present model also showed higher accuracy compared to lognormal. Based on the results, Myket managers are advised to: Focus on user retention strategies, platform improvement, and innovation (such as digital content expansion). An increase of 8 billion riyals in marketing budget could offset the decline by 8%. Policymakers can strengthen the digital ecosystem by providing financial incentives and easing payment restrictions. Also, restrictions include incomplete non-financial data for 2020–2023. Future research could integrate Weibull with LSTM or ARIMA, conduct comparative studies, and examine cultural factors.

Abstract Abstract The aim of this research is to identify the factors affecting the energy market ecosystem (Case Study of the Iranian Electricity Market). The research method is applicable-exploratory in terms of its purpose, and qualitative in terms of its implementation method, based on the data-based method. The statistical population of the research includes 22 market management experts, as well as energy industry activists. The sample size was carried out using the purposive sampling method and the snowball method, and the interviews continued until theoretical saturation. Semi-structured interviews were used to collect information. The data-based method and Maxqda software were used to analyze the data. According to the findings, the concepts in the subcategories include: causal conditions (power grid instability, non-integrated governance); background conditions (energy exchange, power plant capacity money (generation) and technology, modularity, shared production and trust, cooperative stability); Intervening conditions (governance organizations/policymakers, production and consumption core, production cycle completers); strategies (decentralization, orchestration, energy pricing, new development investments, diversified financing, foreign energy trade and win-win self-regulation); and consequences (network, ecosystem attractiveness, multi-dimensionality of low-cost and network interactions and multiple satisfaction (governance, business, social) and development synergies and increased regional power). Introduction Today, ecosystems are developing and becoming widespread as a new method of value creation with an approach to creating shared and focal value resulting from the performance and cooperation of different institutions (Ghods et al., 2023). Most businesses have paid attention to ecosystems in their macro strategy in two ways: creating their own business ecosystem or connecting to existing ecosystems. In the organizational literature, the term ecosystem was first used in business by James Moore in 1993. He described an ecosystem as “a complex network of interconnected businesses that depend on and feed off each other to deliver value to their customers, end users, and key stakeholders. This concept reflects the emergence of business environments that are characterized by co-evolution and complexity, which is in contrast to the traditional hierarchical organizational forms that have dominated markets and industries for many years. Recently, there have been efforts to systematize the understanding of ecosystems (Jacobides et al., 2018). Jacobides & Lianos (2021) consider ecosystems as communities of cooperating companies that collectively produce a good, service, or solution and co-evolve their products under a common vision that requires the creation of a specific structure of relationships and alignment to create value.” Mitleton-Kelly (2003) consideres that an ecosystem consists of organizations and companies that both affect and are affected by it. Due to the breadth of the meaning, multiple interpretations of this concept have been made according to the need and type of its function and application. Platform ecosystems are one of the definitions of the ecosystem in the literature (the definition intended for this study). In this ecosystem, a company uses a platform to utilize the capabilities of other companies as a complement to create a specific value. In this case, the ecosystem is a model and method of organization (Jacobides et al., 2018). Electricity, as a key infrastructure, plays a prominent role in economic growth and development. Sustainable electricity supply is a prerequisite for growth (KHosravani et al., 2023). This research aims to identify the dimensions and provide a framework for the B2B platform ecosystem in the electricity market, providing a tool for organizations in this industry to become aware of creating or joining an ecosystem. The results of this research can help increase the literature in this field, as well as fill existing gaps and provide practical solutions in this field. Therefore, the main research question: What are the factors affecting the energy market ecosystem? Theoretical Framework Ecosystem The concept of ecosystem emerged from biological sciences and generally means “an interactive system created between living organisms and the environment in which they live” (Jucevičius & Grumadaitė, 2014). In fact, an ecosystem is considered an environment in which different factors exist and interact with each other (Abdi et al., 2023). Ghavidast Kouhpayeh et al. (2024) examined the role of blockchain technology in creating trust in customers in the marketing ecosystem. The results of the present study showed that trust resulting from transparency arising from blockchain technology is able to have significant effects on various financial and non-financial outcomes for businesses that use this technology in their marketing ecosystem. Mir et al. (2024) examined the design of an entrepreneurial ecosystem model in a university with a knowledge-based approach. The results in the qualitative section showed that 67 initial codes, 11 basic themes and 5 constructive themes in the main clusters of infrastructure and support (2 themes), technology and knowledge integration (2 themes), education and culture (3 themes), policy and planning (2 themes) and integrated management (2 themes) were identified and the relationships between them were drawn and presented in the form of a paradigm model. The results of the quantitative section showed that 5 indicators and 11 components with factor loading, average variance extracted and high convergent validity (0.4), Cronbach's alpha coefficient and composite reliability (0.7), and high t-significance coefficients (1.96) were confirmed, and the model has a strong fit. Research Methodology The research method is applicable-exploratory in terms of its purpose, and qualitative in terms of its implementation method, based on the data-based method. The statistical population of the research includes 22 market management experts and energy industry activists. The sample size was determined using purposive sampling and snowball method, and the interviews continued until theoretical saturation was achieved. Semi-structured interviews were used to collect information. Research Findings The data-driven method and Maxqda software were used to analyze the data. According to the findings, the concepts in the subcategories include: causal conditions (power grid instability, non-integrated governance); contextual conditions (energy exchange, power plant capacity money (generation) and technology, modularity, shared production and trust, participatory stability); intervening conditions (governance organizations/policymakers, production and consumption core, production cycle completers); Strategies (decentralization, orchestration, energy pricing, new development investments, diversified financing, foreign energy trade, and win-win self-regulation) and consequences (network attractiveness, ecosystem attractiveness, multi-dimensionality of low-cost and network interactions, and multiple satisfaction (sovereignty, business, social), and synergistic development flows and increased regional power). Conclusion The present study was conducted with the aim of identifying the factors affecting the energy market ecosystem (case study of the Iranian electricity market). The results of this study are in line with the research of Ghavidast Kouhpayeh et al. (2024), Mir et al. (2024), Suuronen et al. (2023), Bonina & Eaton (2023), Wecht et al. (2021), Gawer (2021), Hadad et al. (2021), Hein Andreas et al. (2020), and Aulkemeier et al. (2019). Suuronen et al. (2023) introduced digital business ecosystems as networks of shared value creation and the importance of digitalization in how organizations collaborate and compete in the current era, and identified the opportunities and challenges that these ecosystems create by providing a systematic review of the prerequisites, challenges, and benefits of DBEs. According to the research results, the following suggestions were made: Creating ecosystems as new organizational types and alternatives to traditional organizations and management methods requires a change in the thinking, outlook, and performance of influential managers. Based on the research findings, creating ecosystems basically requires creating new paradigms such as decentralization, transferring activities to the private sector, non-interference in buying and selling processes, and eliminating rent and monopoly. At first glance, this seems to be very difficult and complicated, but it is one of the requirements of B2B platform ecosystems and plays an important role in its fundamental formation. The independence of actors must be accepted and the role of guidance should be performed by the government and the government instead of control and policymaking instead of mediation. Providing new capital attraction platforms as a factor for the continued health of the energy ecosystem should be considered. Investment facilities, the challenge of exchange rate and its fluctuations and its allocation, lack of incentive for private sector investment due to lack of profitability, return on investment, contractual attractiveness, high investment costs of power plants and facilitating laws including the Electricity Industry Barrier Removal Law, new and attractive investment models and attraction of foreign capital are among the important factors on investment in an electricity energy ecosystem that should be given special attention. Governance and the government will play the most important role in this category.

Abstract Abstract The aim of this research was to present a local model of health tourism in the Ministry of Health, Treatment and Medical Education. This research is applicable in terms of purpose, and qualitative in nature, with an exploratory approach implemented based on the strategy of grounded theory and focusing on the systematic approach of "Strauss and Corbin". The required data were collected through in-depth and semi-structured interviews with 15 health experts, tourism strategists and relevant senior managers. The selection of participants was carried out through purposive sampling and continued until the stage of theoretical saturation. The data analysis process was carried out in three stages of open, axial and selective coding by the MAXQDA18 qualitative analysis software to ensure accuracy and transparency in extracting categories. The research findings led to the extraction of a paradigmatic model that showed that the local model of health tourism is based on a set of causal, contextual, intervening factors, strategies and consequences. In the causal factors section, components such as quality of medical services, tourism infrastructure, natural factors, transportation, organizational factors, globalization of health services, and destination security were identified. Contextual factors also included changes in health costs, transition to health supersystems, attraction of health tourists, and patient experience. The main strategies included institutional coordination, international marketing, national branding, and promotion of Iranian tourism. Finally, economic, social, infrastructural, and international consequences were extracted for this model. Introduction Today, growth and development are considered the goals and aspirations of every country and society. Different societies are trying to provide the basis for sustainable growth and development by identifying their capabilities in different fields and by utilizing them appropriately. One of the areas that has received attention from different societies in recent decades for investment in growth and development is the field of tourism (zhang et al., 2023). Tourism as an industry has various potential areas for investment. One of the new areas in tourism that has the potential to invest and generate income for growth and development is health tourism, which is considered one of the most profitable and competitive industries in the world (Heung et al., 2021). For this reason, many governments at the macro level are interested in benefiting from the economic benefits of this industry, and increasing competition has begun between different countries, especially developing Asian countries, to attract health tourists (Zhao et al., 2024). Health tourism or medical tourism is extensive and includes quality health care services as well as some other facilities such as better accommodation, shopping, and sometimes recreational facilities. In fact, health tourism is a form of tourism that includes all natural and cultural resources, rehabilitation and sports activities, facilities and places with services related to the health and treatment sector and the tourism sector to serve people who travel for physical and mental health reasons (Cha et al., 2024). Nowadays, people travel for health as well as fitness, well-being and relaxation, and in response to this growing demand, countries, healthcare providers and hospitality and tourism organizations are striving to offer a wider range of medical, health and wellness tourism experiences (Zhong et al., 2021). In countries like Iran, which have good healthcare infrastructure in many areas such as dentistry, cosmetic surgery, infertility treatment and traditional medicine; health tourism can be considered as a valuable economic opportunity to attract foreign exchange earnings and create employment. However, to exploit these opportunities, strategies are needed that are specifically dedicated to this industry (Jabari Nezhad esfahlan, Divsalar & Hoseini Ghoncheh, 2022). Iran will become one of the main health tourism hubs in the region based on its 20-year vision development goals in 2025. Iran should use its capabilities in the health care industry to benefit from the benefits of health tourism, and is currently among the world's leading countries in medical science such as stem cells and spinal cord injury repair. Also, in the field of infertility, invasive radiology topics of the kidney and liver are able to compete with advanced countries in the world. There are no extensive studies in the field of health tourism in Iran, and comprehensive identification of the enablers of medical tourism in Iran and evaluation of their relationships and effects on each other seems necessary. Understanding the above, the main research question is: What are the factors shaping the indigenous health tourism model in the Ministry of Health and Medical Education? Theoretical foundations Health tourism Health is one of the inalienable rights of all human beings. Almost in the middle of the last century and at the beginning of the work of the World Health Organization, world thinkers emphasized that health is not just the absence of disease, but the enjoyment of complete mental, physical, social and spiritual well-being as the definition of health in past centuries was accepted and agreed upon by thinkers (Emami et al., 2025). The term health tourism was proposed by Goodrich in 1991 and then began to spread in American and English universities (Monroy-Rodriguez et al., 2025). Health tourism is a trip designed to maintain and maintain the physical and mental health of an individual on a regular basis (Fernando et al., 2023). Rastegari et al. (2025) conducted a study entitled "Health Tourism Destination Branding in Yazd Province Medical Centers". The findings of the study indicate the need to pay attention to infrastructure factors, cultural factors, and economic factors in the form of the health tourism destination country variable, tourism factors and destination city branding factors, and advertising, sales promotions, brand communities, and public relations in the form of communication tools variables, as well as doctors and nurses, medical center employees, and managers in the form of human resources variables, and medical equipment and facilities and services in the form of product or service variables. Farzinmehr et al. (2025) conducted a study entitled "Investigating the Presentation of a Marketing Model in the Line of Health Tourism with an Emphasis on Medical Equipment". The findings showed that economic and policy factors indirectly affect marketing development through infrastructure and service quality. Research Method The present study is applicable in terms of purpose, and qualitative in nature, with an exploratory approach conducted thrugh the data-based theory with the systematic approach of "Strauss and Corbin". The main goal of this approach is to identify and explain the processes, relationships, and interactions effective in forming the indigenous health tourism model in order to ultimately provide a theoretical framework for explaining and analyzing this phenomenon. The research population included specialists and experts in the field of health tourism who had executive and decision-making backgrounds in related organizations and institutions and were known as "informed experts". Sampling began purposefully and continued until theoretical saturation was achieved. In total, 15 in-depth semi-structured interviews were conducted with experts in the field of health tourism. The interview protocol was also designed based on a review of the research background, document review, and consultation with experts; and the validity of the questions was also approved by the experts. Before the interview began, the research objectives and questions were sent to the participants, and a brief explanation of the research topic was provided at the beginning of each session. With the consent of the interviewees, the interview process was recorded and the key points of each session were simultaneously noted. The average time for each interview was about 45 minutes. Data analysis was conducted based on a systematic approach of grounded theory and by MAXQDA18 software, and included three stages of open, axial, and selective coding. In the open coding stage, after several times of studying and organizing the interview text, initial concepts were extracted and similar codes were categorized into initial categories. Then, a title appropriate to the content of the codes was selected for each category. In the axial coding stage, the relationship between the axial category and other categories was determined in the form of a paradigmatic model. Finally, in the selective coding stage, the central category was extracted and the relationships between other categories were explained in the form of a final model. Research findings The findings of this study led to the design of a local model in the Ministry of Health, based on which the quality of services and specialized infrastructure were identified as the main drivers (causal conditions). The results showed that adopting strategies such as national branding and inter-institutional coordination, under the influence of political and legal intervening conditions, can lead to the key outcome of developing currency and promoting health diplomacy. This model, relying on the patient experience and the developments of health supersystems, offers an integrated path for the transition from traditional management to a comprehensive health tourism system. Discussion and Conclusion Analysis of the research findings shows that the identified causal conditions (including service quality, technological infrastructure, natural attractions, security, and organizational factors) constitute the hard core and main driving force of the model. These factors directly affect the “perceived value of the destination” and ultimately the “intention to choose Iran” by international patients. These results are fully consistent and harmonious with the new approach to medical tourism in the world. The present study confirms the fact that today, health tourists, beyond simply receiving treatment, are looking for a set of “quality, security, and a unique experience”. This finding is consistent with the results of zhao et al. (2024) studies that emphasize the simultaneous role of medical expertise and smart infrastructure in attracting tourists. The contextual conditions in this study represent the specific context and environmental characteristics that affect the implementation of health tourism strategies. These conditions, which include changes in health spending trends, the transition to smart supersystems, a focus on patient experience, and diversification of services, provide a context in which Iran can emerge as a strategic destination. The analysis of the findings shows that the underlying conditions emphasize “creating economic advantage” and “improving patient-centered standards.” These results are in line with the new developments in the global health industry; because in the new paradigm, the success of a destination is not limited to treatment alone, but also depends on the “digital ecosystem” and “cost management.” Changes in health spending trends indicate the impact of the “medicalization of society” and the growth of the share of health in GDP on tourism demand. The findings of the study are in line with the study of Chowdhary & Majumdar (2025) who consider changes in health behaviors and increasing costs as a driver for the search for affordable options in developing countries. In fact, the price gap between countries is the main factor that has led to the formation of this pattern in the Ministry of Health. The emergence of new technologies such as digital medicine and remote monitoring forms the modern platform for health tourism. This finding is fully consistent with the study of Zhao et al. (2024) on the role of artificial intelligence in the future of medical imaging and health services. The transition to these intelligent systems reduces the physical distance between international doctors and patients and strengthens trust in cross-border treatments. Intervening conditions in this study include macro-environmental variables that influence the selection and implementation of strategies. These factors, which are categorized into three areas: political, legal, and economic; can act as “facilitators” or “structural barriers” In fact, these conditions determine to what extent Iran's potentials (causal factors) can be realized in the real world. The analysis of the findings shows that the intervening conditions emphasize "system resilience" and "stability of implementation procedures". These results are in line with the theories of strategic management in the field of health; because in international markets, even with the best medical services, sustainable development will not be achieved without legal and diplomatic supports. Coordination between the government, banks and medical centers acts as a catalyst for the implementation of the model. This finding is consistent with the structural model of Mansour et al. (2023) that emphasizes inter-institutional interaction. The existence of comprehensive plans and order in processes reduces implementation barriers and makes the partnership between travel agencies and medical centers that you have brought in the codes productive. The research findings are in line with the study of Chowdhary & Majumdar (2025). Strategies in This research is a set of targeted and planned measures that the Ministry of Health and relevant institutions use to manage and develop health tourism. These strategies, which include structural coordination, scientific branding, and smart marketing, are actually considered a "roadmap" for transforming Iran's potential into tangible economic and medical outputs. Analysis of the findings shows that the strategies emphasize process integration and marketing intelligence. These results are in line with modern tourism management models in the world; because in the present era, traditional marketing has given way to "holistic management" and "digital branding based on trust". This category is consistent with the findings of Chowdhar & Majumdar (2025).

Abstract Marketing has reached a point of transformation where adopting digital trends is essential.Although this seems to put a lot of pressure on marketers,in reality,all automated systems and applications that are based on digital tools require special attention to digital marketing in businesses.The present study was conducted with the aim of analyzing the path of the designed model from the impact of causal conditions to the consequences of digital marketing in businesses active in the Mashhad leather industry.The present study is applied in terms of purpose and descriptive-survey in terms of data collection.The statistical population of this study is all people active in the leather industry,whose number is unknown.The sample size was determined based on the formula of 5to10 times the items in the questionnaire and using a non-random method available to 247people.The data collection tool in this study was a researcher-made standard questionnaire.Cronbach's alpha was used to verify the reliability of the questionnaire,and confirmatory factor analysis was used to verify the validity of the questionnaire.The values obtained indicate the verification of the reliability and validity of the questionnaire.In addition,divergent validity was also confirmed,and data analysis was performed using the structural equation modeling method and smart pls software.The research findings showed that causal conditions have a significant impact on the pivotal phenomenon of digital marketing in the leather industry.The pivotal phenomenon has a significant impact on the underlying conditions,intervening conditions,and strategic factors in the digital marketing of the leather industry.Strategic factors have a significant impact on the outcomes of digital marketing of the leather industry.The results indicate that organizations must move in line with current science and portray innovation and creativity in the world of digital marketing to achieve customer satisfaction.

Abstract Abstract The purpose of this research is to identify and prioritize the organizational capacities effective on the brand positioning of food companies. The research method is applicable in terms of purpose, and qualitative in terms of execution method. This research is based on interpretative philosophy, inductive approach. The statistical population of the research includes 13 senior managers and marketing and sales managers active in the food industry, and sampling was done in a targeted manner. Semi-structured interview was used in this research. To collect and analyze data, data-based theory was used, and in the analysis, MAXQDA 2020 software was used to code the interviews, and the analysis hierarchy technique (AHP) was used for ranking. The results showed that a total of 164 primary codes were categorized into 20 categories. The value of Kappa index was calculated as 0.743, which is at the appropriate level of agreement. Delphi results were conducted in two rounds, and no questions were omitted in the second round, which is a sign of the end of the Delphi rounds. Also, the difference between the two stages was reported to be smaller than the low threshold (0.8). In the following, fuzzy hierarchical analysis was used for the final ranking. The results of this analysis showed that the consequences with a weight of 0.293 ranked in the first place, followed by strategies with a weight of 0.268 in the second place, contextual factors with a weight of 0.249 in the third place, the interventionist with a weight of 0.165 in the fourth place, causal factors with a weight of 0.154 in the fifth place, and the central category with a weight of 0.007 in the sixth place. Introduction Today, the expansion of similar products, multiple choices, globalization and intense competition force manufacturers to differentiate their products from competitors, and create value for their buyers. In a market where products are becoming more and more compatible, a strong brand may be the only feature that differentiates products from competitors. In this regard, the food industry has faced increased competitive pressure due to the entry of current and new competitors in the global food industry market (Lomer et al, 2018; Yu et al, 2018). Brands are invisible and intangible assets and represent a type of value that provides an opportunity for higher pricing (valuation) as well as more receipt from customers for the company's goods and services (Iyer et al, 2018). Researchers believe that in order to properly understand the brand, attention should be paid to the recognition and evaluation of the company's brand capacities, which emphasize intangible aspects, because companies shape their brand position based on their capacities. Using the approach of organizational capacities as a new approach of strategic management and influenced by the interest-based approach in the field of brand provides the possibility of presenting a coherent and strategic framework to brand management (Asaadi Kavan et al, 2021). Effective capacity building can lead to the strengthening of mutual communication and cooperation of the government, institutions, organizations, communities, groups and individuals. Capacity building refers to a tool through which the community or individuals can consolidate their position which creates an enabling environment with specific and legitimate policies and frameworks for communities, especially rural communities. Capacity building is used as a tool to support issues related to social and human structures, a social planning tool and a tool for empowerment (Molodi et al, 2022). Based on this, the current research is looking for an answer to this question: How is the identification and prioritization of organizational capacities effective on the brand positioning of food companies? Theoretical Framework brand A brand is not only a symbol that distinguishes a product from others, but also includes all the features that come to mind when a buyer thinks of that brand. These characteristics are the objective, abstract, psychological and social characteristics of that product (Xiangbo et al, 2021). Capacity Building Capacity and capacity building are defined as the ability of individuals, groups, institutions and organizations to meet needs and solve problems over time. The capacity of the organization includes the management of knowledge resources and processes. The concept of organizational capacity building is a relatively new concept in management and organization literature. Capacity building is the ability of the organization to develop management, strengthen and improve its plans and strategies to achieve the goals of capacity development, a targeted approach and a professional treasure in order to stimulate guidance, strengthening, liberating, shaping and growing capacities beyond existing capacities (Farajollahi, 2017). Yallka et al, (2022) investigated customers' perceptions of brand positioning of luxury fashion brands from mobile marketing: evidence from communication channels and multiple marketing. Their model conceptualizes four dimensions of customers' perceptions of their mobile marketing journey that can drive customer engagement and purchase behavior. This integrated model offers attractive avenues for further research on the effects of multiple mobile marketing and communication channels and the perceptions of luxury fashion consumers.  Miri et al, (2022) investigated the relative role of Seroqual components in brand positioning of Persepolis and Esteghlal football teams in Tehran. They came to the conclusion that Seroqual components had a positive and significant impact on the branding of Tehran Persepolis and Esteghlal teams. According to the findings, the requirement for the sustainable development of the brand of Esteghlal and Persepolis football teams in Tehran is to focus on improving the Seroqual quality and its components, which can ultimately lead to the establishment and consolidation of the brand of these teams in the minds and hearts of the fans. Research methodology The research method is applicable in terms of purpose, and qualitative in terms of execution method. This research is inductive approach based on interpretative philosophy. The statistical population of the research includes 13 senior managers and marketing and sales managers active in the food industry; and sampling was done in a targeted manner. Semi-structured interview was used in this research. Collecting data, first extracting the theoretical literature, records of the problem, and the research subject, through the library study method, and then the data-based theory and hierarchical analysis technique were used to collect and analyze the data. Research findings For data analysis, MAXQDA 2020 software was used to code the interviews; and Analytical Hierarchy (AHP) technique was used for ranking. The results showed that a total of 164 primary codes were categorized into 20 categories. The value of Kappa index was calculated as 0.743, which is at the appropriate level of agreement. Delphi results were conducted in two rounds; and no questions were asked in the second round, which is a sign of the end of the Delphi rounds. Also, the difference between the two stages was reported to be smaller than the low threshold (0.8). In the following, fuzzy hierarchical analysis was used for the final ranking. The results of this analysis showed that the consequences with a weight of 0.293 ranked in the first place, strategies with a weight of 0.268 in the second place, contextual factors with a weight of 0.249 in the third place, the interventionist with a weight of 0.165 in the fourth place, causal factors with a weight of 0.154 in the fifth place, and the central category with a weight of 0.007 in the sixth place. Conclusion The current research was conducted with the aim of identifying and prioritizing organizational capacities effective on the brand positioning of food companies. The results of this research are in line with the results of Yallka et al, (2022), Miri et al, (2022), Asaadi Kavan et al, (2021), Biesenthal et al, (2019), Rasuli et al, (2018). Recognizing and paying attention to the individual characteristics and preferences of customers in relation to the required services is also an issue always occupied the minds of managers and employees of organizations that provide services and products. Saturation of markets, intensification of competition, and changes in customers' tastes and needs have faced large stores with many challenges in their activities. With the rapid growth of department stores in recent years, the department store industry has become very competitive; therefore, new methods are needed to manage such businesses. The increasing acceleration of changes in the environment around organizations due to the continuous change in the needs of customers has caused the formation of competition in the market to meet the needs of customers. In this regard, there is no doubt that those stores will achieve success that identify the needs of customers in the shortest possible time and respond to them in the fastest possible way. According to the research results, the following suggestions were made: Having a strategy and defining long-term, medium-term and short-term goals and vision not only defines the direction of movement, the way of resources allocation and other frameworks, but also provides a suitable basis for measuring the organization's performance. Knowledge should be considered as a vital factor for survival and competition and creating a serious attitude in the field of using intra-organizational networks, which allows the organization to benefit more and more from the advantages of transformation management, the ability to compete, create innovation and productivity in line with new investment, and customer attraction.

Abstract Abstract The purpose of this research is to investigate the effect of communication quality and brand image on customer loyalty with the mediating role of customer satisfaction. The current research is applicable in terms of purpose, descriptive-survey in terms of nature, and causal type. The statistical population of this research is the customers of Islamic Bank of Afghanistan. The sample size was determined using Cochran's formula of 384 people and the samples were selected by simple random sampling. In order to collect data, questionnaires of quality of communication by Chin et al., (2014), brand image by Moutinho (2011), customer loyalty by Amin et al., (2011), and customer satisfaction by Jamal Nasser (2002) were used. Their validity was confirmed by academic experts, and their reliability through Cronbach's alpha coefficient. In order to analyze the data, the structural equation technique was used through Smart PLS statistical software and SPSS software, and also a statistic called VAF was used to determine the intensity of the indirect effect through the mediator variable. The findings of the research showed that the quality of communication had a positive and significant effect on the loyalty of Islamic Bank of Afghanistan customers and that the brand image had an impact on customer loyalty. Also, the quality of communication was confirmed on customer satisfaction. Brand image had a greater effect than other components on customer satisfaction of Islamic Bank of Afghanistan, and also customer satisfaction had a positive and significant effect on customer loyalty. The results of the research showed that the quality of communication and brand image with the mediating role of customer satisfaction has a significant effect on the loyalty of Islamic Bank of Afghanistan customers. Introduction In recent years, with the major changes occurred in the business environment, only those organizations can continue to exist that have made the main focus of their activities on improving the quality of communication, increasing satisfaction, and sustaining customer satisfaction. It should be mentioned that mere customer satisfaction is not enough; and efforts should be made to create loyalty among them. Creating customer loyalty is not only a goal in marketing, but also considered an important basis for achieving a competitive advantage (Machado et al; 2022). On the other hand, the quality of communication can be mentioned among the factors affecting customer loyalty. Communication quality is known as a set of intangible values ​​that lead to expected long-term relationships between parties. The quality of communication helps companies in establishing basic communication with customers and maintaining them (Dahliani et al; 2021). Another factor affecting customer loyalty is brand image. The brand is considered one of the most valuable assets of any organization and the activities of the organization affect the brand and the perception of consumers and the image they have in their minds of that organization (Deylami Moezzi, 2022). In fact, it is the brand image that is in the mind of the consumer, not the factories where the products are made (Hong, 2012). According to the mentioned cases, customer satisfaction occurs when the perceived performance of the product or customer service meets their expectations. Indeed, it is widely agreed that customer satisfaction can lead to customer loyalty (Leclercq et al; 2022). One of the tools that today's business owners equip themselves with is to improve the quality of customer relationship management; the more the quality size of communication maintained, the more leads to the customer's loyalty. The quality of communication and customer satisfaction is one of the factors affecting customer loyalty. Brand images carry different meanings with themselves that affect customer loyalty. Islamic Bank of Afghanistan, as one of the largest commercial banks in Afghanistan, has an effective presence in the domestic, regional and global markets of Afghanistan by designing and creating new services with the aim of creating value for customers, especially valuable customers. This research seeks to answer the question that to what extent the quality of communication and brand image with the mediating role of customer satisfaction can affect customer loyalty. Theoretical Framework The quality of communication with the customer can reduce the insecurity experienced by the customer, which increases the customer's trust and confidence, and will affect the interactive relationship between customers in the future (Vize et al; 2016). According to Porter (1985), brand image is a mental image, reflecting the way a brand is perceived, which includes all elements of identification, product or company personality, and emotions and associations evoked in the consumer's mind (Onyancha, 2013). Loyalty is defined as a deep determination to return and support a preferred preference. It is providing value to customers through their services and products and showing curiosity to fulfill their demands or even create a relationship with customers (AL-JANABI, 2022). Researchers consider customer satisfaction psychologically as a feeling that is obtained as a result of comparing the received product specifications with the needs and desires of customers and social expectations regarding the product (Azandariani & Arya, 2022). Lubis et al., (2022) in a research entitled the effect of the quality of corporate communication and services on customer loyalty and satisfaction in Islamic banking. Their data were analyzed using the partial least squares structural equation model analysis technique. The results have shown that the quality of communication has a positive and significant effect on customer loyalty. Putra et al., (2020) in an article entitled the effect of service quality and brand image on customer loyalty with customer satisfaction as a mediating variable: the case study of Berri Bank, Jakarta Kamayuran branch. The results of the findings of this study have shown that the effect of service quality and brand image plays a role on customer satisfaction; and the effect of service quality and brand image on customer loyalty. Research method The current research is applicable in terms of purpose, survey-analytical in terms of implementation method, and causal type. The statistical population of this research is the customers of Islamic Bank of Afghanistan. According to the statistical population of the research, the size of the population is assumed to be unlimited; and according to Cochran's formula, 384 people were randomly selected as a statistical sample. To test the hypotheses and analyze the data, structural equation modeling method with partial least squares approach and PLS Smart version 3 software were used. In order to collect data, authentic questionnaires of communication quality (Chin et al., 2014), brand image (Bain Moutinho 2011), customer satisfaction (Jamal Nasser 2002), and customer loyalty (Amin et al., 2011) were used. Findings SPSS and PLS software were used to check research hypotheses and data analysis. The results showed that the quality of communication has a positive and significant effect on the loyalty of Islamic Bank of Afghanistan customers. This means that the value of the path coefficient between the two variables is 0.243, which indicates that the communication quality variable explains 24.3% of the changes in the loyalty of the customers of Islamic Bank of Afghanistan. The results of the second hypothesis showed that the path coefficient between the two variables is 0.233, and it confirms that customer loyalty explains 23.3 percent of the changes in the brand image of Islamic Bank of Afghanistan. According to the results of the third hypothesis, the path coefficient between the two variables is 0.316, and this is confirmed by the fact that customer satisfaction explains 31.6% of the changes in the communication quality variable of Islamic Bank of Afghanistan. The results of the structural model test regarding the fourth hypothesis indicate that the brand image has a positive effect on the customer satisfaction of Islamic Bank of Afghanistan. The path coefficient between the two variables is 0.497, which indicates that customer satisfaction explains 49.7% of the changes in the body image variable of Islamic Bank of Afghanistan and has been assigned the first rank; the obtained result shows that the brand image plays an important role plays a role in the formation of customer satisfaction. Regarding the fifth hypothesis, the results showed that the path coefficient between the two variables is 0.451, and this is confirmed by the fact that customer satisfaction explains 45.1% of the changes in the communication quality variable of Islamic Bank of Afghanistan. In relation to the intensity of the effect of the mediating variable of "customer satisfaction", the mediating role in the effect of communication quality on loyalty was ranked last in terms of mediating; that is, customer satisfaction plays a mediating role in the effect of communication quality on customer loyalty of Islamic Bank of Afghanistan. Determining the intensity of the indirect effect through the intermediary variable of the statistic is equal to 0.368; which means that 36.8 percent of the effect of communication quality on customer loyalty of Islamic Bank of Afghanistan is explained through the indirect effect of the mediating variable of customer satisfaction. And also in relation to the effect of the intensity of the mediating variable "customer satisfaction" on the effect of brand image on customer loyalty of Islamic Bank of Afghanistan, it has been ranked first; therefore, the mediating role of customer satisfaction variable in the effect of brand image on customer loyalty of Islamic Bank of Afghanistan is confirmed. The intensity of the indirect effect through the mediator variable was equal to 0.799; therefore, 79.9 percent of the effect of trust in the brand on the loyalty of Islamic Bank of Afghanistan customers is explained through the indirect effect by the mediating variable of customer satisfaction. Conclusion This research was conducted with the aim of investigating the effect of communication quality and brand image on customer loyalty with the mediating role of customer satisfaction in Islamic Bank of Afghanistan. According to the obtained results, the present research is consistent with the results of Putra et al., (2020), Lotfi et al., (2022), Khan et al., (2022), Lubis et al., (2022), Najmudin et al., (2022), Al-Bashayreh et al., (2022), Syahfudi & Ruswanti (2015), and Putra et al., (2020). The results showed that quality communication increases customer loyalty and connects them to the bank and its services, and the quality of communication leads to consequences such as: increasing the share of purchases, maintaining the relationship, developing future interactions, word-of-mouth advertising, and loyalty. On the other hand, if the brand image is reliable, customer loyalty will increase as well, and also the brand image plays an important role in the formation of customer satisfaction. As much as the banks provide services according to the demands of their customers, the customers' satisfaction increases as well, and customer' satisfaction affects the brand image, and brands are associated in the minds of customers, and finally, the brand image increases customer loyalty. According to the research results, the following suggestions are provided: To improve the quality of communication with customers, it is suggested that banks establish mutual communication with their customers, which occurs when the receiver and the sender of the message continuously exchange roles. It is suggested that banks improve their banking services and identify the path of customer satisfaction in order to develop their service strategy in this direction, and also deal with customer problems and have a good and friendly relationship with their customers. It is suggested that banks introduce their brand accurately and honestly in social networks and media, and share informative and effective content to create this mindset in customers.

Abstract Abstract Today, customer participation in branding through brand co-creation behavior is one of the most important concerns and challenges of industries in this field. To achieve this goal, it is very important to pay attention to the concept of gamification. This research seeks to investigate the effect of gamification on customer brand co-creation behavior regarding the mediating role of consumer engagement and the moderating role of consumer hedonic and innovativeness. The study focused on the customer base of Snapp and TAPSI brands within the city of Isfahan. Given the challenges in determining the exact number of customers and their statistical data, a convenience sampling approach was adopted, resulting in a sample size of 306 individuals. The extensive nature of the target population, combined with restricted access to the entire community, necessitated the use of this accessible sampling method. To collect data, standard and researcher-made questionnaires were used. Data analysis with SmartPLS software shows the positive and significant effect of gamification on customer brand co-creation behavior, partial mediating role of consumer engagement variable, positive moderating effect of hedonic and innovativeness, and finally confirming the moderated mediation. Findings indicate that both Snapp and TAPSI's applications incorporate elements of gamification, such as game mechanics and dynamics. Given the significant role of gamification in enhancing brand value co-creation, it's recommended to conduct a detailed analysis of how each gamification component—dynamics and mechanics—is utilized within these platforms to identify areas for improvement. Furthermore, acknowledging the influence of consumer personality traits, like hedonic and innovativeness, as moderating factors, can offer valuable insights. This understanding could guide the developers of ride-hailing applications in tailoring and evolving their platforms through the strategic use of various gamification elements, tailored to customers segmented by these personality traits. Extended Abstract                                           Introduction Brand Co-creation is a type of cooperation and personal interactions between consumers and companies to create shared experiences and ultimately value creation, which requires the use of techniques to engage consumers with the desired brand (Merhabi, et al, 2021). In the virtual businesses, consumer engagement is a useful tool for understanding how companies and customers interact to co-create value (Storbacka et al., 2016). Consumer engagement actually includes the organization's relationship with its customers beyond trades and transactions (Leclercq, et al., 2018). With the increasing growth of the Internet and related technologies, the brand concept has changed, and today the value of online brands has grown significantly (Jalali, 2021). Today, researchers use game-based platforms to engage consumers and engage them in the brand. These gamified platforms enable companies to provide a compelling experience to stakeholders and thereby create, maintain, and develop customer engagement over time (Breidbach, et al, 2014). Benefits such as increased organizational performance (Bawa, 2023), increased efficiency (Tuna, 2023), improved training experience (Trinh, et. al, 2023), increased consumer engagement, sales, and increased brand favorability (Öztürk & Hersono, et. al., 2023; Mariyum & Qazi, 2023), improving concentration and learning (Mazlan, et al., 2023) are among the most important advantages of this technique; as a result, it can be used to strengthen brand co-creation behavior. To increase the effect of gamification on consumer engagement, the level of novelty and pleasure seeking of the consumer can be effective and somehow moderate this relationship. Among internet businesses, car internet request systems are one of the pioneers in this field, and several companies have been able to take a significant share of intra-city transportation (Zarei et al., 2020). Considering the importance of online transportation and the special position of the customer in this industry, the current research aims to answer the research question: “How does the effect of gamification on the brand co-creation with the mediating role of consumer engagement and the moderating role of consumer hedonic and innovativeness?” Theoretical Literature Brand Co-creation: Co-creation is considered a social and collaborative process in which two or more parties interact with each other to create value (Iglesias, 2017). Co-creation has 4 aspects: 1- exchange of ideas, 2- access, 3- transparency, and 4- risk. The exchange of views shows that co-creation includes interaction and deep involvement on both sides (company and consumer). In a social commerce platform like Facebook, on the pages of different brands, consumers interact with each other as well as with the target company to post their opinions, suggestions, and experiences (Siano et al., 2022). Gamification: Gamification is the process of adding game elements to a non-game situation. Gamification has been defined as "the use of thinking and game mechanics to engage users and solve problems". (Zichermann & Cunningham, 2011). Gamification refers to transforming activities, systems, services, products, or organizational structures to afford gameful experiences (Huber & Ropke, 2015). Consumer engagement: Consumer engagement is a state of being occupied, fascinated, or immersed in something (meaning constant attention) that ultimately creates a certain attractive or repulsive force (Higgins & Scholer, 2009). Consumer engagement is defined as “behavioral manifestation of customers towards a brand or company, beyond purchase, caused by motivational stimuli”; these demonstrations include actions such as: positive word of mouth advertising, providing recommendations and supporting other customers. Consumer engagement is “a psychological state that occurs through the interactive and creative experiences of a customer with a focal agent or object (such as a brand) in a focal service relationship” (Brodie et al., 2010). In fact, consumers produce different types of value for themselves by involving their resources such as time, knowledge or social capital in the context of innovation. Therefore, it can be concluded that they are part of the value co-creation process (Leclercq et al., 2018). Consumer innovativeness: Consumer innovativeness refers to the willingness of consumers to buy new and different products and services instead of staying in the previous and current choices and patterns, and in fact, consumers who have a great desire to accept new products and services to meet their needs are considered innovative. Researchers recognize innovativeness as an important personality trait in consumer behavior (Kim et al., 2020). Basically, consumers who have a high degree of novelty are naturally curious and enjoy creative discovery (Aidi, 2024), and as a result, they tend to accept new products and services. Consumer hedonic: Hedonic value is considered as one of the main characteristics influencing consumer repurchase intention (Fang et al., 2011; Kim et al., 2020). Hedonic value is the overall evaluation of the empirical benefits (e.g. entertainment) that the consumer can have during the purchase process. Enjoyment can become a basic condition that motivates to perform shopping activities (Bical & Ispir, 2021). Research Methodology This research has a paradigm of positivism, quantitative approach, and survey strategy. The statistical population of the study is the customers of Snap and TAPSI brands as the most popular online transportation platforms. Due to the indeterminacy of the sample size, the available sampling method and the sample size of 306 people were selected. Due to the large size of the target community and the lack of access to all members of the community, it was not possible to fully investigate the members of the community, which is why the accessible sampling method was used. In order to remove the limitations of available sampling, it has been tried to distribute questionnaires at different times and places in Isfahan city. To collect data, standard and researcher-made questionnaires were used. Questionnaires were provided to the statistical community in both paper and electronic form. The variables examined in the questionnaire included gamification, brand co-creation, consumer engagement, consumer hedonism, and consumer novelty. To evaluate the validity of questionnaires, in addition to face validity, factor validity was used in the form of convergent and divergent validity. To assess reliability, in addition to Cronbach's alpha, a composite reliability index was also used. In order to analyze the data, structural equation software was used. Smart-PLS software was used to fit the model. Research Findings In order to test the hypotheses or conceptual model of the research, smart-PLS 3 software was used. The research results indicate a significant and positive effect of gamification on brand co-creation (B=0.332, t=5.834). Also, the results of the research showed that consumer engagement plays a mediating role in the relationship between gamification and brand co-creation (B=0.372, t=8.554). In the relationship between gamification and consumer engagement, the consumer hedonic and innovativeness variables play a moderating role. The path coefficient of the consumer innovativeness is equal to (-0.092), and its test statistic is equal to 2.014; which shows the negative effect of this relationship; since the test statistic is more than the critical value (1.96), it can be said that this effect is significant. Also, the path coefficient of the consumer hedonic is equal to (0.046) and its test statistic is also equal to 1.96; which shows the positive effect of this relationship; since the test statistic is equal to the critical value (1.96), it can be said that this effect is significant. In general, it can be said that all research hypotheses have been confirmed at the 95% confidence level. Conclusion Considering the importance of online transportation and the sensitivity of this industry to customer behavior, the effect of gamification on customer brand co-creation behavior was investigated in this research. The results showed that gamification has a positive and significant effect on customer brand co-creation behavior. Therefore, the result of examining this hypothesis is in line with researches of Nobre & Ferreira (2017); Merhabi et al., (2021); García-Magro et al., (2023); Martín-Peña et Al., (2023). This result is because gamification provides a platform for developing interaction with the brand and improving relationships; through fun, challenge, continuous experiences, and brand participation. In this way, it provides opportunities for consumers to participate in the brand co-creation. The result of examining the hypothesis of the mediating role of consumer engagement in the relationship between gamification and brand co-creation has also been confirmed. In other words, consumer engagement plays a mediating role in this relationship. The result of examining this hypothesis is in line with researches of Rather et al., (2023a); and Rather et al., (2023b). By involving consumers in the brand, gamification causes more participation of consumers in the brand co-creation, creating cooperation, and ultimately more consumer loyalty. In the relationship between gamification and consumer involvement, the consumer hedonic and innovativeness variables play a moderating role. Thus, at higher levels of consumer hedonic and innovativeness, the effect of gamification on consumer involvement will be greater. This issue is indirectly mentioned in the research of Kim et Al., (2020). Hedonics increases the overall evaluation of experiential benefits (e.g., entertainment) when using a service or product. Also, it causes the customer's emotional state to overcome him in the purchase, and a higher level of this dominance can lead to a higher effect of gamification on consumer engagement. People with novelty characteristics tend to buy new and different products and services instead of staying in the previous and current choices and patterns. In other words, novice- who are open to experiences based on the Neo personality model - show less desire to be loyal to a brand, and because of their willingness to diversify, they are less involved in a brand. In general, it can be said that gamification by creating an attractive environment in online car applications can engage the customer for a longer time, and more involvement of the customer can lead to his co-creation behavior. The effect of gamification on consumer engagement can be moderated depending on the hedonic level of the individual. Many people are pleasure-seekers and will stay engaged with a topic for a long time if the gamification is done right. Also, in the case of novelty, if the expansion of the variety of gamification elements and innovation in their creation can keep people with high novelty characteristics loyal to using the service, these things should be considered by decision-makers in designing applications. In order to improve brand co-creation behavior, in addition to creating the chance of customer participation in branding through the creation of a customer club, the possibility of giving feedback to customers and viewing it by others, the possibility of transferring experiences, suggestions, and criticisms; it is necessary to focus on strengthening gamification.  

Abstract Abstract The purpose of the current research is to design a model of effective marketing capabilities based on communication (case study: National Drilling Company). The research method is applicable in terms of its purpose; mixed (qualitative-quantitative) in terms of execution method; descriptive-survey in terms of nature and method; and it is an exploratory study type of research. The statistical population of the research includes 10 experts, professors and strategic managers of National Iranian Drilling Company. Data collection in the qualitative part was carried out through semi-structured interviews, and in the quantitative part by the questionnaire. Coding was used in the data analysis of the qualitative part, and SPSS and Lisrel software were used in the quantitative part. The results of the research showed that after core and optional coding and creation of main and sub-categories, six dimensions of effective marketing capabilities based on communication were identified, i.e. strategic capabilities, operational capabilities, functional capabilities, internal capabilities of the company, and external capabilities and communication as dimensions of effective marketing capability methods based on communication. Extended Abstract                                           Introduction Today, with the expansion of the globalization process, the increase in competition, the entry of various domestic and foreign companies, various products and the advancement of technology, it is difficult to maintain customer satisfaction and loyalty; therefore, it seems necessary to take advantage of marketing capabilities and strategies to survive in the competitive scene; because these two factors can provide a good foundation for improving the business performance of the company (Asgarnezhad Nouri et al, 2020). Both areas of marketing capabilities are very important and vital to achieve business success. Marketing capabilities are defined as the organizational ability to perform a set of tasks and affairs by using existing organizational resources to achieve the desired performance result (Herhausen et al, 2020). According to Guo et al, (2018), marketing capabilities improve an organization's ability to configure and effectively implement resources to create a sustainable competitive advantage. Therefore, marketing capabilities are a complex combination of organizational capabilities and resources, unique to an organization and difficult to be imitated by other organizations (Karamipur, 2023). In recent studies, marketing capabilities have been defined as the process of applying knowledge, skills, and organization resources to create added value for goods and services, meet competitive demands, and respond to market-related needs (Orak & Babaeezakilaki, 2015). The importance of learning processes in the development of marketing capabilities has been emphasized, especially when employees can quickly solve the company's marketing problems using their knowledge and skills. Marketing assets and capabilities are the foundation of business units; and customer relationship, production or promotion, and customer orientation are based on knowledge and process (Emami et al, 2022). Therefore, this research seeks to answer the question: What is the model of effective marketing capabilities based on communication? Theoretical framework Marketing ability Marketing capability is an integrated process in which companies use tangible and intangible resources to understand the complexity of specific customer needs, achieve relative differentiation in products for competitive advantage, and finally achieve appropriate quality. Marketing capabilities are integrated and coherent processes designed to apply the company's collective skills, knowledge and resources; and improve the value of the company's goods and services, and by means of these capabilities; the company is able to adapt to changing market conditions and use market opportunities to deal with competitive threats. Marketing capability indicates a company's specific abilities in identifying target markets, strategies and developing market mixes that maintain relationships with loyal customers (Zahiri et al, 2016). Aripin et al, (2024) investigated marketing capability and market ambiguity on the results of product innovation. They stated that strategies and best practices such as in-depth market research, cross-collaboration, leveraging technology and data analytics, forming strategic partnerships and a strong innovation culture are essential. In-depth market research helps companies understand customer needs and preferences as well as emerging market trends, while cross-collaboration allows them to maximize internal knowledge and expertise. The use of technology and data analytics helps companies to collect and analyze market data more effectively, while the formation of strategic partnerships gives them access to additional resources and knowledge. Finally, a strong innovation culture is an important foundation for creating an environment that supports sustainable product innovation. By implementing these strategies, companies can improve their ability to generate relevant and sustainable product innovations and thus remain competitive in an increasingly complex market. Karamipur (2023) investigated the design of the model of artificial intelligence competencies on organizational performance by considering business-to-business marketing capabilities. The results showed that the mechanisms of artificial intelligence competencies have an effect on business-to-business marketing capabilities and organizational performance, and also the model of artificial intelligence competencies on organizational performance is confirmed by considering the aspect of business-to-business marketing capabilities. Research methodology The research method is applicable in terms of its purpose; mixed (qualitative-quantitative) in terms of execution method; descriptive-survey in terms of nature and method; and it is an exploratory study type of research. The statistical population of the research includes 10 experts, professors and strategic managers of National Iranian Drilling Company. Data collection in the qualitative part was carried out through semi-structured interviews, and in the quantitative part by the questionnaire. Research findings Coding was used in the data analysis of the qualitative part, and SPSS and Lisrel software were used in the quantitative part. The results of the research showed that after core and optional coding and creation of main and sub-categories; six dimensions of effective marketing capabilities based on communication were identified, i.e. strategic capabilities, operational capabilities, functional capabilities, internal capabilities of the company and external capabilities and communication as dimensions of capability of effective communication-based marketing strategies, therefore it was suggested that intangible resource planning and marketing planning be done based on marketing strategies, and strengthening and increasing human resources skills and human capital in the target markets be carried out. Conclusion The present research was conducted with the aim of designing a model of effective marketing capabilities based on communication (case study: National Drilling Company). The results of this research are in agreement with the results of Aripin et al, (2024), Karamipur (2023), Doah et al, (2023), Khodabakhshi & Melai (2023), Oduro & Williams (2023), Afsharfar (2022), Rajabi (2020), Takata (2016), Nasimi & Amiri (2018). Doah et al, (2023) showed that elucidating the underlying mechanisms through which marketing capability affects firm performance contributes to the growing body of knowledge about marketing strategy. In practice, this study provides strategic insights for companies that increase their marketing effectiveness and overall performance by optimizing their resource management capabilities. The implications of this research extend to marketing practitioners, strategists, and researchers seeking a deeper understanding of the nuanced interplay between marketing capabilities, resource coordination, and firm performance in the contemporary business landscape. The results showed that resource coordination capability has a positive relationship with marketing capabilities, and an inverse relationship was obtained between company performance and resource coordination capabilities. According to the results of this research, the following suggestions are presented: Intangible resource planning and marketing planning can be done based on marketing strategies. Planning channels be designed and reach the implementation stage according to the target markets Customer access should be done according to the conditions, external knowledge ability, customer knowledge, customer connection capability, technical knowledge, strengthening and increasing the skills of human resources and human capital in the target markets. Public relations, as the heart and lifeblood of the company, should be managed by using experienced personnel with technical communication skills.  

Abstract Abstract The purpose of this research is to evaluate the role of environmental advertising on the use of eye movements towards the brand. The current research is applicable in terms of the goal and mixed (qualitative-quantitative) in terms of the method of data analysis. The statistical population in the qualitative section includes a group of restaurant chain experts (university professors, executive managers, and consultants), sampling continued with the purposeful method until reaching theoretical saturation (15 interviews). In the quantitative phase, chain restaurant managers were considered as the community among whom 384 people were picked up based on stratified random sampling. The data collection tool in the qualitative phase of the research was unstructured interviews with experts; and in the quantitative phase, a researcher-made questionnaire consisting of 74 items. In order to analyze the data, Maxqda software was used in the qualitative phase, and SPSS and SmartPLS software in the quantitative phase. According to the obtained results, the hypothetical relationships of the model were tested and confirmed. In this research, in the causal conditions (advertising content, environmental advertising quality, and advertising features); main contextual factors (advertising slogan, billboard elements, and analysis of customers' eye movements); intervening conditions (online advertising, advertising costs, advertising through means, and mass communication); core categories (the state of environmental advertising, the development of the impact of advertising, and effective advertising on customers' intentions); strategies (attractions of advertising message, evaluation of environmental advertising selection process); and three categories of competitive advantage, value creation, and promotion of strategic marketing decisions are classified as the consequences of environmental advertising based on the use of eye tracking. Extended Abstract                                           Introduction Today, as consumers, we are exposed to hundreds of advertisements every day on television, newspapers, magazines, yellow pages, retail advertisements and websites, and in addition to these implicit advertisements in the form of Classification of products in stores and homes, visual messages on vehicles, road signs, food packaging in restaurants, uniforms of service providers, t-shirts, CDs and Electronic devices attract our attention (Niehorster et al, 2017), and the eyes, when searching and deciding to choose products and brands, guide consumers among the shelves and aisles of stores, shopping centers, and websites; all of which are related to "visual marketing"; that is, commercial and non-commercial companies use visual signs to communicate with consumers with the aim of creating and maintaining mutually beneficial relationships (Kong et al, 2019). If it is true that "observation equals confidence" and "confidence equals purchase", it is important that management is based on what the consumer sees. This issue is increasingly recognized in commercial activities (Guitart et al, 2018). The conducted research shows how the aspects and dimensions of the advertisement and the purpose of the advertisement to interact with the visitor affect the visual behavior and the amount of attention given to different parts of an advertisement (Marois et al, 2021). Eye tracking is the process of measuring attention (gaze) or the movement of an eye in relation to the head (Hosp et al, 2020). Eye tracking is a tool for measuring eye position and movements, which can be a useful method for analyzing behavior and cognition (Muñoz-Leiva et al, 2019). By using the eye tracking technique, behavioral evidence can be obtained (Guitart et al, 2018). Eye tracking is very sensitive to the processes of attention and alertness, and this technique can be used to improve teaching and learning (Javora et al, 2021) and the effectiveness of advertisements, video and graphic images (Niehorster et al, 2017). Considering that eye tracking can compensate for the market research that cannot be obtained through self-reporting methods, the main question of the present research has been raised as follows: how is the effective model of environmental advertising based on the use of eye tracking drawn? Theoretical literature Ambient advertising: ambient advertising includes advertisements used in unusual, noteworthy and unexpected places, often with unconventional and innovative methods, as well as new performances - performances appear to the audience for the first time. Eye tracking: Eye tracking in advertising means measuring and calculating the point at which the human eye is staring, and in other words, the scientific study of eye movements and activities in two-way interaction with the surrounding environment is called tracking (Kimasi et al., 2019). Mousavi & Fadaei (2022) in a study aimed at commercial advertisements of chain stores, found that variables of price, security and trust, digital marketing environment, product characteristics and ease of purchase had a significant effect on commercial advertisements of chain stores in the evolution of digital marketing literacy, and variable of promotional offers have not been effective. Marois et al, (2021) reported in a study aimed at real-time mobile eye tracking for support systems that the use of eye tracking in mobile should provide more reliable data than using a fixed device. According to them, the use of intelligent eye tracking systems can effectively help increase efficiency in security and services by showing people's decisions. Research methodology The present study is considered to be of the fundamental type in terms of its purpose, and mixed (qualitative and quantitative) in terms of the data collection method. The research community, in the qualitative dimension, includes experts in the field of marketing and business, and in the quantitative dimension, it includes managers and experts in the field of marketing and advertising. In the qualitative part, based on the selection of data-based theory, non-random sampling carried out and 15 interviews were conducted; that from the 11th interview onwards, theoretical saturation occurred, which continued until the 15th interview to be sure. In the quantitative section, taking into account the maximum variance and error level of 5%, 90 people were identified, and in order to increase the return rate of the questionnaire and facilitate the research, more than 100 questionnaires were distributed electronically. Out of this number, 86 people completed the questionnaire and this number was the basis of analysis and hypothesis testing. In the qualitative phase, an interview tool was used, and in the quantitative part, a researcher-made questionnaire tool was used. In order to analyze the data, Maxqda software was used in the qualitative phase, and SPSS and SmartPLS software in the quantitative part. Research findings In the presented model, three categories of advertising content; quality of Ambient advertising, and advertising features are experimental factors that can create the causal conditions of Ambient advertising based on the use of eye tracking. The main contextual factors of Ambient advertising are determined based on the use of eye tracking also include advertising slogans, billboard elements, and customers' eye movement analysis. Three categories of online advertising of advertising cost, advertising through means, and mass communication are considered as categories of intervening conditions according to Ambient advertising based on the use of eye tracking. The central categories of Ambient advertising based on the use of eye tracking in this model include three categories of Ambient advertising status, development of advertising influence, and effective advertising on customers' intentions. According to the results obtained in this model, three categories of advertising message attractions, evaluation of target Ambient advertising selection process, and advertising based on customers' taste have been included as strategies according to the central categories of Ambient advertising based on the use of eye tracking. According to open coding, the concepts related to the consequences of the model have been extracted, then according to the back and forth movement between the themes and concepts, the main categories have been extracted and named, and accordingly, the consequences are divided into three parts related to the competitive advantage, value-creating, and promotion of strategic marketing decisions are classified as the consequences of Ambient advertising based on the use of eye tracking. Discussion and conclusion The results obtained from the coefficients of the structural equations based on the effect of integrated advertising management on the advertising structure show that the value (t = 35.66) for this parameter (according to the 5% error rule in the region of rejecting the null hypothesis for values ​​outside the range of 1.96 to 1.96 of each parameter of the model) is out of the estimated range. Therefore, it can be stated that the first hypothesis of the research; the integrated advertising management has a positive effect on the advertising structure, is confirmed with 95% certainty. The result of this hypothesis is consistent with the research results of Boban et.al, (2020) and Rezabakhsh (2017). Based on the results of these researches, in today's competitive market environment, advertising companies have increasingly faced the challenges of good communication with customers in order to be able to introduce their new products and services to the market faster than their competitors. The results obtained from the coefficients of structural equations based on the effect of integrated advertising management on service delivery processes show that the value (t = 5.68) for this parameter is out of range. Therefore, it can be stated that the hypothesis of the researcher is confirmed with 95% confidence. The result of this hypothesis is consistent with the research results of Pelsmackera & et al, (2019) and Casado-Aranda et al, (2023). The results obtained from the coefficients of structural equations based on the effect of integrated advertising management on Ambient characteristics show that the value (t = 19.98) for this parameter is out of range. Therefore, it can be stated that the hypothesis of the researcher is confirmed with 95% confidence. The result of this hypothesis is consistent with the results of Hosseini & Masoome (2016) and Nikunj et al. (2017). The results obtained from the coefficients of structural equations based on the effect of advertising structure on value creation show that the value (t = 2.19) for this parameter is out of range. Therefore, it can be stated that the above assumption is confirmed with 95% confidence. The result of this hypothesis is consistent with the research results of Asadnejad et al, (2022). The results obtained from the coefficients of the structural equations based on the effect of the background conditions on the service provision processes show that the value (t = 7.12) for this parameter is estimated outside the range. Therefore, it can be stated that the hypothesis of the researcher is confirmed with 95% confidence. The result of this hypothesis is consistent with the research results of Busca & Bertrandias (2020). The results obtained from the coefficients of structural equations based on the effect of Ambient characteristics on value creation show that the value (t = 4.99) for this parameter is out of range. Therefore, it can be stated that the hypothesis of the researcher is confirmed with 95% confidence. The result of this hypothesis is consistent with the results of Hosseini et al., (2015) and Nikunj et al., (2017). The results obtained from the coefficients of the structural equations based on the effect of Ambient characteristics on recovery processes show that the value (t = 2.9) for this parameter is out of range. Therefore, it can be stated that the hypothesis of the researcher is confirmed with 95% confidence. The result of this hypothesis is consistent with the results of Nikunj et al., (2017) and Asadnejad et al, (2022). The results obtained from the coefficients of structural equations based on the effect of marketing processes on value creation show that the value (t = 9.003) for this parameter is out of range. Therefore, it can be stated that the hypothesis of the researcher is confirmed with 95% confidence. The result of this hypothesis is consistent with the research results of Asadnejad et al, (2022). The results obtained from the coefficients of the structural equations based on the effect of value creation on the development of relationships show that the value (t = 27.97) was estimated out of range for this parameter. Therefore, it can be stated that the hypothesis of the researcher is confirmed with 95% confidence. The result of this hypothesis is consistent with the results of Michael et al., (2018) and Hollebeek et al, (2019).  

Abstract Abstract The purpose of this research is to analyze the impact of effectiveness of media (Radio and TV) advertisement on the extent of consumers’ urge to consume national commodities. This research is applicable in terms of purpose, and is a descriptive-survey research in terms of nature, which has been conducted as a field work. Statistical population of the research is the population of Mashhad city. Using Cochran formula, 384 people were selected as the statistical sample. In order to gather data, a researcher-made questionnaire with 61 questions was used. Content validity of the questionnaire was approved by 15 academic and practitioner experts in the field of advertisement and media.  The reliability of the questionnaire according to Cronbach's alpha was 0.824. Also, SPSS and SPLS applications were used to analyze data. Results of the research indicate that effectiveness of media advertisement positively and in a meaningful manner affects consumers’ urge to consume national commodities. Extended Abstract                                           Introduction The economic sector in Iran is particularly vulnerable compared to other fields, largely because of the country’s reliance on oil revenues and imports. Consequently, adversaries have recognized that economic sanctions against Iran could more effectively achieve their objectives (Motaqi & Motaqi, 2013). While many studies have explored resistance economy, consumption patterns, and specifically domestic product consumption, there has been little significant action to enhance and cultivate the purchase of domestic products through effective and targeted media advertising. Since one of the roles of mass media is commercial advertising, it is expected to raise public awareness, assist in decision-making, foster healthy competition among producers, and facilitate economic activity (Salhi & García-Villoria, 2015; Prieler et al., 2015). Media plays a vital role in advertising, cultural, and supervisory functions by creating a mental framework for accepting the necessity of reform and revising the allocation and distribution of resources and income (Hayek, 2015). Thus, there is a significant need for a coherent and coordinated advertising system that can effectively communicate and attract consumers to domestic products through different official and unofficial media channels. This study specifically explores the promotion of domestic product consumption through media advertising, aiming to determine whether the effectiveness of media advertising (Radio and Television) significantly influences consumer inclination towards domestic products. Theoretical Framework:  Effective advertising is defined by its ability to attract the audience’s attention, create memorable effect, stimulate purchasing actions, and awaken the audience’s sensory reception (Rejón-Guardia et al., 2016). Because of cultural, political, social, and other contextual differences, advertising in Iran differs from that in other parts of the world. As a result, internal and localized influencing factors must be considered to determine its effectiveness. Two perspectives on consumer attitudes towards domestic versus foreign products exist: 1) Rational Processing Model: Consumers evaluate and select products based on rational processes. 2) Emotional Processing Model: This perspective suggests that product choice is influenced by emotional factors. For instance, factors like quality, price, accessibility, after-sales service, and availability of spare parts for domestic products are cognitive factors that drive inclination towards domestic goods. On the other hand, emotional factors such as national loyalty and ethical opposition to foreign products also play a role (Maison & Maliszewski, 2016; Zeugner-Roth, 2015). Motiee (2023) identified "national and organizational consensus," "geographical requirements," and "economic growth" as key features supporting domestic production, achievable with institutional support such as from Radio and Television. HajialiAkbari & Sadighian (2019) found that quality, price, product functionality, packaging, post-purchase regret, design, and warranty are the most significant factors affecting consumer decision-making for domestic products. Methodology: This research is applicable in terms of purpose, and descriptive-correlative in terms of data collection. The statistical population consists of Mashhad residents. According to the 2016 census, the population of Mashhad was 3,001,184, forming the research population. A sample size of 384 was determined using the Cochran formula. The measurement tool was a researcher-made 44-item questionnaire for assessing media advertising effectiveness, and a 17-item questionnaire for evaluating factors affecting consumer inclination towards domestic goods, based on a Likert scale with five options. Data analysis was performed using SPSS and SPLS software, employing descriptive and inferential statistics. Descriptive statistics were used to investigate the respondents' demographic characteristics, and inferential statistics, structural equation, and path analysis were used to analyze data and test hypothesis. Findings:  The main hypothesis showed that media advertising effectiveness (Radio and Television) has a path coefficient of 0.781 on consumer inclination towards domestic goods consumption. Thus, with 95% confidence, it can be stated that media advertising effectiveness significantly impacts consumer inclination towards domestic goods. Other secondary hypotheses were also confirmed, with path coefficients for various roles including: information features (0.594), advertising selection activities (0.506), advertising ranking (0.591), advertising engagement (0.623), advertising tools and visual methods (0.523), emotional features (0.498), motivational dimensions (0.522), overall advertisement viewing (0.618), internal vs. external product evaluation (0.642), consumer nationalism (0.705), and preference for domestic vs. foreign products (0.603). Discussion and Conclusion:  The results indicate that media advertising effectiveness has a positive and significant effect on consumer inclination towards domestic products. This finding aligns with Hamidizadeh & Nourian (2013) regarding the impact of television advertising on customer attraction. The study’s results are consistent with research by Naghdi et al., (2023), Motiee (2023), Bashokouh et al., (2023), and Sanaeimehr et al., (2021). Among the factors affecting advertising effectiveness, advertising engagement had the highest impact. This is because engagement directly addresses the mental involvement of the audience, leading rationally to higher effectiveness compared to other factors. Despite Roshandel Arbatani et al., (2010) not addressing the importance of identified metrics, this study clarifies their significance, with engagement, overall ad viewing, information features, ad ranking, advertising tools, and emotional characteristics being of notable importance. The position of emotional features in this study supports findings by Samsamshariatmm et al., (2007). Regarding factors influencing consumer inclination towards domestic products, the study aligns with research by Motiee (2023), Naghdi et al., (2023), Amiri et al., (2022), Haghighi & Hosseinzadeh (2010), Vadhanavisala (2015), and Maison & Maliszewski (2016), highlighting consumer nationalism as a crucial factor. The study suggests that Radio and Television should create various programs to emphasize domestic product consumption, thereby altering consumer preferences. Media should leverage advertising for Iranian products, prominently featuring them in visual content, series, and films to instill the value of domestic production. Emphasizing the benefits and advantages of domestic products and avoiding unnecessary advertising content should be prioritized. Advertising should be diverse and avoid repetition, and a culture of quality focus among domestic producers should be promoted.

Abstract Abstract
The purpose of this research is to provide a model of customer satisfaction with non-attendance services in the social security organization. The current research is applicable-developmental in terms of purpose; and descriptive-analytical based on the method. The statistical population of the present study includes the customers of Khorasan Razavi Social Security Organization, which was considered to be 384 people by Cochran's formula, and simple random sampling method was used. The collection tool in this research includes a researcher-made questionnaire derived from the qualitative method. The variable of customer satisfaction with non-attendance services includes 4 dimensions of infrastructures, culture building, reforming structures, and creativity and innovation. The reliability of the research was checked and confirmed by Cronbach's alpha criterion in SPSS software. Lisrel software was used to fit the conceptual model of the research. Confirmatory factor analysis was performed to confirm the final research model. The findings of the research showed that the research model has a suitable fit with the collected data. Also, in order to improve the fit indices of the model, the suggested terms in accordance with the research literature were used, and finally the research model was approved.
Extended Abstract                                          
Introduction
Today, with the invention of new ways to communicate with customers, new communication and electronic methods and sciences related to information technology should also be used. Because, instead of using traditional communication methods, new information technology and advanced electronic communication methods can be used, which will bring about important changes in the field of information and communication technology and the creation of electronic organizations and governments, expanding the influence of the Internet throughout the world, and the emergence of various internet bases and extensive social networks and new media, the production of advanced software, the development of blogs, electronic publications. In this way, a suitable background can be provided for the development and diversification of service delivery methods (Iglesias et al, 2017). With the ever-increasing expansion of the field of e-commerce, the speed of providing services to customers and the quality of services have also increased, causing companies to have more control over quality components to ensure the accuracy and timeliness of delivery of goods and to be able to respond to the growing needs of customers and satisfy them (Zalkani Andarvar, 2021). Diyanti et al, (2021) state that the satisfaction felt by customers is a comparison of the expectations created by customers about the reliability of the performance that a company can provide. According to Permana & Djatmiko (2018), customer satisfaction is a summary of different intensities of emotional reactions that come from a limited time and duration, and target the basic aspects of the consumption of a product. From the above statement, it can be concluded that consumers have a good evaluation of the service and performance of the product for the satisfaction they get from buying a product or provide services they feel (Nabila et al, 2023). Therefore, the researcher is trying to answer the question: what is the customer satisfaction model of non-attendance services in the social security organization?
Theoretical Framework
Customer satisfaction
Teso & Vilton (1899) define satisfaction as: the reaction of customers to evaluate the perceived difference between the previous expectations or to some extent the ideal performance and the actual performance of the product, which is perceived after consumption. Customer satisfaction is defined as the result of an effective evaluation of a benchmark compared to perceived performance in practice. In other words, if the perceived performance meets expectations, satisfaction has been achieved (Shahab Far, 2017).
Non-attendance services
It means services that a person can do at any hour of the day and night through the Internet, without referring to the organization (Bidmon, 2016).
Mirzaee Azandariani & Arya (2022) investigated the impact of the characteristics of second-hand goods platforms on brand loyalty intentions with the mediating role of customer satisfaction (the case study of Divar and Sheipur platform in Iran). The findings of the research showed that ease of use has a positive and indirect effect on the intentions of brand loyalty with the mediating role of customer satisfaction. Perceived usefulness has a positive and indirect effect on the intentions of brand loyalty with the mediating role of customer satisfaction, and entertainment aspect has a positive and indirect effect on the intentions of brand loyalty with the mediating role of customer satisfaction, and the sense of belonging to the society for a society has a positive and indirect effect on the intentions of brand loyalty with the mediating role of customer satisfaction, and the credibility of the seller on the intention and brand loyalty intentions have a positive and indirect effect as a mediator of customer satisfaction, and knowing the third party has a positive and indirect effect on brand loyalty intentions as a mediator of customer satisfaction.
Deylami Moezzi (2021) investigated the presentation of a structural model of the role of brand love in the impact of marketing stimuli on customer satisfaction. The findings of the research indicated that the components of marketing stimuli (product stimulus, pricing stimulus, distribution stimulus, and promotion stimulus, respectively), had the greatest effect on customer satisfaction. The results of the research showed that marketing stimuli have a direct and indirect effect on customer satisfaction. Love for the brand plays a mediating role in the effect of the elements of marketing stimuli on customer satisfaction.
Research methodology
The current research is applicable-developmental in terms of purpose; and descriptive-analytical based on the method. The statistical population of the present study includes the customers of Khorasan Razavi Social Security Organization, which was considered to be 384 people by Cochran's formula, and simple random sampling method was used. The collection tool in this research includes a researcher-made questionnaire derived from the qualitative method. The variable of customer satisfaction with non-attendance services includes 4 dimensions of infrastructures, culture building, reforming structures, and creativity and innovation.
Research findings
SPSS software was used to analyze the data of this research, and Lisrel software was used to fit the conceptual model of the research. Confirmatory factor analysis was performed to confirm the final research model. The findings of the research showed that the research model has a suitable fit with the collected data. Also, in order to improve the fit indices of the model, the suggested terms in accordance with the research literature were used, and finally the research model was approved.
Conclusion
The current research was conducted with the aim of providing a customer satisfaction model of non-attendance services in the social security organization. This research is consistent with the results of Mirzaee Azandariani & Arya (2022), Deylami Moezzi (2021), Katja et al, (2020), Feng et al, (2020), OriolI et al, (2019), LuisArditto et al, (2019), Rita et al, (2019), Suri (2020), and Ehsani (2020). Suri (2020) showed that there is a significant positive relationship between the quality of electronic services with website design and customer service. In addition, the existence of a significant positive relationship between the quality of electronic services and the security of privacy and the fulfillment of services was also confirmed. Other research results show the impact of electronic service quality on customer satisfaction and trust. According to the results, it can be concluded that in order to increase profitability,, companies can achieve the goal of making customers loyal faster by investing in customer satisfaction and increasing their satisfaction with electronic services.
Based on the results of the research, it is suggested that by creative management of knowledge and innovative application, the organization can enable employees to rely on their experiences in organizational issues that require new solutions and help the organization as it grows on the learning path. Innovation is recognized as an important factor in enabling companies to maintain perceived customer value and maintain competitive advantage in a highly complex and rapidly changing environment. Innovation is the key factor in the success or failure of organizations in the field of competition and the main source of competitive advantage. However, with the increasing opportunities offered by technology and artificial intelligence, digital assistants can create favorable outcomes for Social Security clients with new services.

Abstract Abstract
The aim of the current research is to provide a model of emotional and rational appeals in video marketing based on social networks. According to its purpose, the research method is applicable, and descriptive in terms of data collection. The statistical population of the research includes 200 male and female students between the ages of 25 and 35, selected as a sample and exposed to two types of short-term video advertisement stimuli. The sampling method is random. Data was collected through a questionnaire. SPSS and PLS software were used in data analysis. In this study, through the structural equation approach, it was determined that there is a significant difference between emotional and rational appeals in "attracting" the attention of the audience to video advertisements, which depends on the type and intensity of the emotional or rational load used in content production, which have different effect in creating "behavioral conflict" in the target audience. Also, the effect of the attention-attracting variable was identified as a mediating variable in creating behavioral engagement.
Extended Abstract                                          
Introduction
Video marketing or what is known as "Video Marketing" has occupied a major and important part of the world of content marketing and, accordingly, digital marketing (Stringfellow, 2017), and for this reason, it has attracted the attention of many researchers. The emergence of the Internet, as the top technology of the 80s, has significantly affected marketing and its sub-branches, especially video marketing (Sheldon, 2013), and one of these effects is the intersection of video marketing and social networks or Social Media (Luo et al, 2013).
Social media, which are equivalent to the term social networks in this study, are one of the most important known components that increasingly involve almost all aspects of human life, from education to business (Alalwan et al, 2017); despite the differences that Wikipedia has made between the network and social media (Bennett, 2013).
Many things have been mentioned about the importance of the impact of social media on marketing; for example, it has been stated that if the customer cannot first get help from the information available on social media to make a decision, then in the second step, he will go to search engines, and this shows the position of social media in the behavior leading to customer purchase (Jameel, 2023). For this reason, the function of various types of emotional and rational appeals as two key parameters in the effectiveness of video marketing in social networks will be the subject of this study, and we will try to find the answer to the question: Is there any significant difference between emotional and rational appeals in the effectiveness of video marketing or not?
Theoretical Framework
Attention in video marketing
"Attracting attention" is so important that researchers consider the goal of video marketing only to attract the attention of the audience and change his decision to continue watching (Arantes et al, 2018), and consider it as the main factor of competition in this type of marketing (Sheldon, 2013). For this reason, in this research, attracting attention was considered as the beginning of the process of creating effectiveness in video marketing.
Emotional and intellectual appeals
Several factors have been introduced in marketing as the factor to attract the attention of the audience, among which the role of emotional appeals can be mentioned as an important factor in attention (Melin, 2014). Excitement is one of the necessary elements to achieve attention in video marketing in such a way that "The customer's decision-making journey in video marketing begins with a video ad" (Maenhout, 2023), and only does positive emotions that affect the audience's attention, but negative stimuli also play an important role in attracting the viewer's attention (Vaish et al, 2008) (Rozin & Royzman, 2001).
The engagement
Crane & Sornette (2008) were the first people who introduced the term "engagement" in today's sense as a valuable tool for measuring the effectiveness of video marketing, in their definition: "audience engagement in video is a chance to share video and increase the number of visits" (Crane & Sornette, 2008).
Dong et al, (2023) investigated the four main factors of short branded video content (content matching, informational relevance, storytelling, and emotionality), customer engagement (likes, comments, and shares) as well as the moderating effect of publication time (morning). The experimental results show that the content characteristics of short videos significantly affect consumer engagement. In addition, the time of release of videos significantly moderated the relationship between emotionality of short videos and consumer engagement. Content posted in the morning increased the positive effect of warmth, excitement, and happiness on consumer engagement compared to content posted in the afternoon. The practical implications of the findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that companies using brand videos consider content matching, informational relevance, storytelling, and emotionality in their design. Authenticity/value from a broader perspective; this study develops a new method to comprehensively evaluate short-brand video content based on four dimensions (content matching, informational relevance, storytelling, and emotional), examines and the value of these dimensions to create social media marketing.
Hosseini (2023) investigated the impact of video marketing and its various strategies on consumer behavior. The results showed that the experience of video marketing strategies does not have a significant effect on the behavior of Ramak dairy products consumers. Also, brand identity, advertising, usefulness of information, and service quality of video marketing strategies have a significant effect on the behavior of consumers of dairy products of the studied company. After presenting the results, suggestions and strategies are presented in the field of findings related to the research.
Research methodology
The research method is applicable in terms of purpose, and descriptive in terms of data collection. The statistical population of the research includes 200 male and female students between the ages of 25 and 35, selected as a sample and exposed to two types of short-term video advertisement stimuli. The sampling method is random. Data was collected through a questionnaire.
Research findings
SPSS and PLS software were used in data analysis. In this study, through the structural equation approach, it was determined that there is a significant difference between emotional and rational appeals in "attracting" the attention of the audience to video advertisements, which depends on the type and intensity of the emotional or rational load used in content production, which have different effect in creating "behavioral conflict" in the target audience. Also, the effect of the attention-attracting variable was identified as a mediating variable in creating behavioral engagement.
Conclusion
The present research was conducted with the aim of presenting the model of emotional and rational appeals in video marketing based on social networks with the approach of structural equations. The results of this research is aligned with the results of Dong et al, (2023), Asgharzadeh et al, (2023), Hosseini (2023), Zhuang (2022), Yazdani Kachuei et al, (2022), Taleghani et al, (2022), Sasanpour & Amini Lari (2021), Song et al, (2021), and Casais & Pereira (2021). Zhuang (2022) showed that screen mode, subtitles, and video title length significantly affect consumer engagement by influencing the central information processing pathway; and music and narration positively influence consumer engagement by functioning in the peripheral information processing pathway. This study contributes to the social media marketing and consumer engagement literature by uncovering the influencers for consumer engagement in the context of a brand's short-form video. More importantly, this study provides practical tactics for brands to create compelling videos to attract engagement and achieve marketing goals.
Thus, based on the findings of this study, it is suggested:
Firstly, to increase the effectiveness of video marketing programs, one should always be optimistic about the use of emotional appeals, although this appeal has a special relationship with many other factors, including demographics.
Secondly, although the use of emotional appeals is considered to be a kind of anchor and support point for the effectiveness of video advertisements, the abilities of rational appeals should not be neglected.