Purpose: Based on this, the purpose of the present study is structural-interpretive modeling to evaluate the effectiveness of e-learning based on the views of multiple generations working in the social security organization.
Method: This research is applied in terms of purpose and in terms of research typology, it is among mixed research with qualitative and quantitative approach in deductive-inductive paradigm. The components were identified through semi-structured interviews based on theoretical saturation with 14 professors. The validity and reliability of the interviews were confirmed by the method of relative content validity and Cohen's kappa index, respectively. In the quantitative part, in order to model human capital training, the opinions of 28 human resource managers of the Social Security Organization were used with the available non-probability sampling method. Validity and reliability of the questionnaire were confirmed using content validity and test-post-test method.
Findings: Coding of interviews using MAXQDA2020 software led to the identification of 20 main variables. Modeling of the identified factors with interpretive structural method and Micmac analysis led to the formation of eleven levels, which are the dominant intellectual paradigm, digital competence, connectionism and the most effective cultural expanders and symbolic capital, learners' satisfaction, the quality and expertise of teachers, the conformity of the defined structures. and feedback requirement were the most effective components.
Conclusion: The results showed that by designing a model of the above main categories that has a good credibility, it is possible to hold effective courses of electronic training in different generations of employees.