درخت حوزه‌های تخصصی

Purpose: The current study was conducted with the aim of designing a human resource competency model in the age of digital transformation. Methodology: This study is applied-developmental in terms of purpose. Also, it is a developmental and exploratory sequential type, and the present study is qualitative in terms of data type. The statistical population of this study is made up of experts and specialists who are aware of the subject of the study and specialists in Mobile Communication company of Iran (IR-MCI) and 20 people were selected as a sample using the targeted sampling method. In this study, library and field methods were used to collect information. In this study, the method of text analysis as well as interviews and Delphi were used for data analysis. Findings: The results showed that the competency of digital managers includes 7 components of individual factors, organizational factors, culture of change, digital attitude, communication factors, leadership and management, and technical and specialized factors. Conclusion: Based on the results, there is a significant correlation between all components. The results also showed that the study model has the required validity.

Purpose: The purpose of the current study was to identify, quantify, and prioritize the components of reducing the resistance of managers of government organizations in the administrative transformation plan. Methodology: The mixed study method is based on exploratory mixed study. The statistical population in the qualitative section was university professors, managers, and experts of executive systems, in the quantitative section, managers and experts of government agencies, and in the prioritization section, high and middle managers of executive systems of selected organizations. In-depth interviews were used in the qualitative part, while questionnaires were used in the quantitative part, and matrix questionnaires were used in the prioritization one. Acceptability (expert review) and confirmability (expert review) were used to determine the validity and reliability in the qualitative stage, while in the quantitative stage, the validity of the questionnaires was confirmed by three methods: form, content, and structure. Reliability was estimated and confirmed by three methods of determining factor loadings of items, Cronbach's alpha of components (between 0.760 and 0.888) and combined reliability (between 0.842 and 0.923). In the prioritization section, the content of the matrix questionnaire was approved by five academic and organizational experts in terms of comprehensibility and expressiveness, and the rate of inconsistency of the criteria was calculated and confirmed as 0.05 to 0.07. Qualitative data were analyzed with the ground theory technique, while quantitative data with structural equation modeling technique, exploratory and confirmatory factor analysis tests in SPSS and Smart PLS software, and the prioritization section, data were analyzed through hierarchical analysis (AHP) in EXPERT CHOICE software. Findings: The results of the qualitative part indicated that the paradigm model includes 10 dimensions (categories) and 22 components (concepts) in the form of causal, contextual, interventional, strategy, and consequence conditions. Conclusion: The results of the quantitative part showed that all the components of the study model were confirmed. The results of the prioritization section show the greater importance of the outcome and organizational productivity component.