محمدرضا باقرزاده

Purpose: This present study is dealing with presenting a model for evaluating the effectiveness of short and medium-term training courses at Mazandaran University of Medical Sciences. Methodology : In this research, a quantitative research method was used. The statistical population consists of specialists and university administrators and staff of the Medical Sciences Organization in Mazandaran Province. The purposive sampling method was applied in the qualitative phase; moreover, the proportional stratified sampling method was used in the quantitative phase. Furthermore, the data collection was done through field interviews and researcher-made questionnaires. The collected responses were analyzed by using descriptive statistics (frequency, percentage, mean, standard deviation) and inferential statistics (correlation and independent t-tests) using SPSS and Lisrel. Findings : The main components of short- and medium-term university courses consist (effectiveness and efficiency, job satisfaction, motivation and morale, planning and goal setting, managerial skills, institutionalizing organizational goals, managerial communication skills, and finally emphasis on education and development). Conclusion : In addition, according to the results, in rating, the short-term and medium-term dimensions of university courses, among all the institutional and operational levels, the factors (the effectiveness and efficiency, job satisfaction, motivation and morale, planning and goal setting, managerial skills, institutionalizing organizational goals, managerial communication skills, and the emphasis on education and development) were respectively rated as the most and the least significance in short- and medium-term university courses

Purpose: The purpose of this study was to present a comprehensive model of empowerment in the Social Security Organization. Methodology: This research was based on the applied purpose and in terms of quantitative and qualitative research method (mixed) and in terms of data collection was descriptive-survey. The statistical population of the study consisted of two groups of experts and thinkers. The first group consisted of university professors whose field of study and field of study was related to the field of research and the second group included organizational experts with a master's degree or higher with managerial and experimental backgrounds related to human resources in the qualitative section after counting the criteria and indicators extracted. From the theoretical foundations, a researcher-made questionnaire based on the Looshe and Likert spectrum was prepared and after passing the Delphi survey, a conceptual model was extracted. Then, in the quantitative part, exploratory factor analysis method was used to identify the model factors and confirmatory factor analysis method was used to fit the model. In order to check the validity of the questions, purposive sampling method was used among organizational and academic experts, of which 15 people were included as a statistical sample. In the second and third stages of validity of the questions, to strengthen the screening process, the snowball method was used to compile the sample, which after saturating the data of 32 final experts for the exploration section and building a conceptual model participated. Statistical analysis was performed using SPSS software to cluster the indicators and create research components and Smart PLS software to confirm the research model. Findings: The results of this study identified 11 components and 37 indicators as the most important factors of comprehensive empowerment and showed that individuals will be empowered individually when intra-individual intelligence, creativity-oriented education, psychological self-knowledge, internal performance, knowledge-based decision making and individual self-efficacy. Together, they will be empowered in the collective, team, and organizational spheres when the culture of bureaucracy, internal reward, fundamental self-efficacy, and interactive policy come together. Conclusion: After exploratory factor analysis and component classification, the fit of the model obtained from the previous step was investigated and confirmed with a good fit.

Insurance Corporate Governance Code 93 was communicated to the insurance industry of Iran in 2017. However, as the only Iranian governmental insurance organization, Iran Insurance Company has a different corporate governance structure in the insurance industry of Iran. The present study aims to propose a good corporate governance model at Iran Insurance Company. This study is applied research in terms of objectives and descriptive-survey research based on a combined methodology in terms of data collection. Semi-structured interviews were performed with fifteen experts. The final model was proposed through thematic analysis and the Delphi model with five components, including board effectiveness, transparency and disclosure, ownership institution, beneficiary management, and monitoring. The model was examined by delivering questionnaires to a total of 201 senior and middle-level managers and agency directors at Iran Insurance Company. The Kolmogorov–Smirnov test was utilized to determine data distribution, while the Kaiser-Meyer-Olkin (KMO) test and Bartlett’s test were used to examine measurement sample suitability. Also, the partial least square (PLS) method was employed for modeling in Smart PLS. The components were ranked through the Shannon entropy approach. The results demonstrated that board effectiveness had the largest importance among other components. The board structure and composition showed the highest weight. Among the components of board effectiveness, the separation of the chairman and CEO had the highest importance.

The validity of the questionnaire was confirmed using CVR index, as well as exploratory and confirmatory factor analysis while its reliability was evaluated using Cronbach's alpha. Data analysis was performed using Delphi technique, one-sample t-test, and structural equation modeling in SPSS and Lisrel statistical software. Based on the obtained results, four dimensions, 17 components, and 63 indicators were identified for the inter-organizational cooperation management model in oil companies in the Pars Energy Special Economic Zone. Environmental, cultural, organizational, and leadership style dimensions are known as the dimensions of inter-organizational cooperation management in oil companies in the Pars Energy Special Economic Zone. Such factors had the most significance among the identified dimensions of environmental dimension with load factor of 0.99, cultural dimension with load factor of 0.82, organizational dimension with load factor of 0.79 and leadership style dimension load factor of 0.89, respectively, than other dimensions to the concept of inter-organizational cooperation management model in oil companies in the Pars Energy Special Economic Zone. The results indicated that the designing the inter-organizational cooperation management model is divided into four dimensions of environmental, leadership, cultural and organizational dimensions. Environmental dimension includes political, business process, economic, developmental, legal, and technology. Cultural dimension includes the components of conflict management, information sharing, participation, and commitment. Organizational dimension includes the components of philosophy, processes, coordination, and strategy. Leadership style dimension encompasses the components of collaborative leadership, multidisciplinary decision making, and adaptation to management style.