Patterning of structural equations of digital human resources in Mellat Bank branches

Document Type : Original Article (Quantified)

Authors

1 PhD of student ، Department Public Administration , Kerman Martyr Qasem Soleimani Branch, Islamic Azad University, Kerman, Iran.

2 Department of Public Administration, Kerman Branch, Islamic Azad University, Kerman, Iran.

3 Department of Industrial Management, Kerman Branch of Shahid Haj Qasim Soleimani, Islamic Azad University, Kerman, Iran.

4 Department Public Administration , Kerman Martyr Qasem Soleimani Branch, Islamic Azad University, Kerman, Iran.

5 Department of Public Administration, Kerman Martyr Qasem Soleimani Branch, Islamic Azad University, Kerman, Iran

10.22034/jvcbm.2025.499871.1482
Abstract
The aim of this research was to find patterns in the structural equations of digital human resources in Mellat Bank. The present research is applied-developmental in terms of its purpose, descriptive in terms of data collection, and quantitative in terms of the nature of the data. The data collection tool consisted of two parts: a review and exploration of research literature and upstream documents in the library section and a researcher-made questionnaire in the field section. According to the population survey, approximately 20,000 people were the statistical population of Mellat Bank, and 377 people were selected as samples based on the Cochran formula. Then, the questionnaire was distributed among the quantitative research sample. After collecting statistical data, it was analyzed using PLS software. The results showed that the digital human resources management model includes causal factors (technological, environmental, human, and organizational), contextual factors (digital platform, managerial platform, individual platform), intervening factors (cultural factors and creating new platforms), strategies (organizational and managerial), and consequences (individual, cultural, and organizational), and all relationships in the model are significant.

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  • Receive Date 14 January 2025
  • Revise Date 26 March 2025
  • Accept Date 26 April 2025