Explaining the Factors Affecting the Acceptance ofE-Coaching Using Structural-Interpretive Modeling (Case Study: Social Security Organization)

Due to the prevalence of Coronavirus diseasein the world, Information and communication technology has had a major impact on various aspects of business, especially on human resource management. One of the important tasks of human resources is coaching in the organization which, in the present era, information technology has had a significant impact on it. The purpose of this study is to explain the factors affecting the acceptance of E-coaching for the effective development of employees during the coronavirus in Social Security Organization of Iran. The methodology is descriptive- survey, based on the nature of research. The population of the study consists of 11 experts, including academic scholars, managers and experts in Social Security Organization. After a comprehensive reviewing of the literature, ten factors identified to explain E-coaching. These factors categorized in five levels using Structural-Interpretive Modeling. Then, after determining the levels of factors and considering the availability of the ultimate matrix, the final model of interpretation was designed. The results show that factors of  using incentives, observability, compatibility, and demographic characteristics related to E-coaching in Social Security Organization are more effective than other factors, i.e. relative advantage, testability, perceived pressures; computer self-efficacy, perceived obstacles, and complexity.