The purpose of the present study is to level the extended model of Herzberg’s two-factor theory considering the digital era transformations in the administrative system: an interpretive structural modeling approach. This study is developmental-applied in terms of purpose, and mixed-method (qualitative-quantitative) in terms of nature. The statistical population includes 15 experts in the field of human resource management and organizational behavior. Data collection tools were the Delphi questionnaire and the pairwise comparison questionnaire. The Delphi method and Interpretive Structural Modeling (ISM) were employed to analyze findings for leveling variables and analyzing influence-dependence power using MICMAC software. The Delphi results showed that after three rounds, the confirmed indicators were categorized into 8 dimensions and 16 components. The ISM results indicated that the model variables are organized in a seven-level causal chain, where “intrinsic motivation drivers” with a driving power of 9 are located at level seven (the most influential level), and “functional outcomes” and “unintended outcomes” with a dependence power of 9 are located at level one (the most dependent level). The MICMAC analysis revealed that the variables “digital and organizational infrastructure” and “psychosocial capital” are in the linkage quadrant, while “macro-environment,” “functional outcomes,” and “unintended outcomes” are in the dependent quadrant. The absence of any variables in the autonomous quadrant confirmed the systemic nature of motivation in the administrative system. The developed model, by adding three novel dimensions of “digital and organizational infrastructure,” “psychosocial capital,” and “macro-environment” to the classical dimensions of Herzberg’s theory, as well as discovering hierarchical relationships between variables, provides a comprehensive and up-to-date framework for analyzing and improving motivation in the administrative system.