سید محمدرضا داوودی

Purpose : The purpose of this study is to design and explain the development model of future managers based on talent management and personality types with the grounded theory approach in the headquarters of the National Social Security Organization. Method : This research was conducted with a qualitative-inductive approach and Strauss-Corbin's grounded theory method. The research tool was a semi-structured interview. Using the grounded theory method, the data obtained from interviews with 12 elites and qualified specialists of the Social Security Organization were analyzed in three open, axial, and selective coding stages. Findings : 19 general categories in the form of a paradigm model in which these factors include causal conditions (individual factors, organizational factors, lack of proper selection, knowledge and skills of employees), central phenomenon (future managers based on talent management and personality types), contextual conditions (Organizational context, Talent Selection, Talent utilization), intervening conditions (psychological (individual) factors, Individual factors, Management factors), and strategies (Talent sourcing, Empowerment of managers and employees, Proportion of job and employment, Succession, Foresight and Cognitive Strategy) and Consequences (Organizational results, Public satisfaction, Futurization). Conclusion : Conclusion: Recent developments in the field of human resources have made this field doubly important. Organizations try to employ the most specialized people at management levels, and therefore talent management, as a key king, examines the types of situations involved in this field. Proper use of talents leads to success and puts the organization on the right track.

After closing, the multi-period portfolio can be corrected and revised at regular intervals. The philosophy behind using multi-period portfolio models is that investors often have a multi-period view of future changes in assets, which can be the result of technical and fundamental analysis or statistical model analysis. In conventional multi-period portfolio models, it is assumed that the forecast and correction time horizons are the same for all assets. However, one asset may be forecasted over a one-month horizon while another may be forecasted over a two-month horizon, and both may be revised in the future. The purpose of this study is to present a multi-period portfolio model in which assets have different time horizons for corrections or an asset may not be traded for the first few periods and then enter the correction stage. In this model, fuzzy variables defined in a credibility space are used to describe the return, and the credibility measure controls the risk. The model's objective function is to maximize the portfolio's ultimate wealth, and a constraint is used to control portfolio risk, in which the validity of the portfolio's ultimate wealth below a certain threshold is controlled at a certain level of confidence. A combination of particle swarm optimization and simulation is used to find the best solution. Finally, using a numerical example, the model is implemented on a portfolio with 6 assets and 4 monthly time steps on the Tehran Stock Exchange.

Purpose: The purpose of this study is to design an organizational performance model based on the digital status of the organization in the Corona pandemic with a theme analysis approach in the Ministry of Industry, Mine, and Trade (MIMT).Method: This research was conducted with a qualitative approach. The research tool (data collection) was a semi-structured interview in which 27 elites and qualified specialists in MIMT (statistical population of this study) were selected using a purposive sampling approach to qualitative sampling.Finding: The results of data analysis in the qualitative section in the open coding stage identified 79 codes, which finally through axial coding achieved  3 categories (main category) and 21 indicators (subcategory).Conclusion: The main mission and goal of the managers of any organization is the effective and efficient use of various resources and facilities such as labor, capital, materials, energy, and information. Digital transformation, which has always been important as a fundamental and strategic action in organizations, has become more important in recent years following the outbreak of coronavirus; the pressures of the coronavirus epidemic have accelerated the efforts of organizations to create digital transformation