درخت حوزه‌های تخصصی

INTRODUCTION: The achievement of organizational goals depends on the ability of employees to perform the assigned tasks and adapt to the changing environment. The implementation of training and improvement of human resources allow people to effectively continue their activities and increase their efficiency in accordance with organizational and environmental changes. The present study aimed to assess the impact of information and communication technology on self-directed learning among Employees at the Red Crescent Society of Tehran. METHODS: This research was applied-descriptive and survey-type. The statistical population of the current research included all 1800 employees at the Red Crescent Society of Tehran. Based on Cochran's formula, 317 subjects were selected by simple random sampling and answered the questionnaires. To check the variables of the research, a 73-item questionnaire was used, which assesses the two variables of information and communication technology and self-directed learning. The validity of the questionnaire was confirmed by experts' opinions, and its reliability was assessed by Cronbach's alpha method. Research hypotheses were tested by structural equation modeling using LISREL software. Confirmatory factor analysis was used to measure the indicators of the questionnaire, and the model of path coefficients and significant coefficients was applied to examine the hypotheses. FINDINGS: The results of the analyses demonstrated that information and communication technology and each dimension of using computers, media (radio and television), the Internet, educational software, and mobile phones had a significant positive effect on self-control, willingness to learn, and self-management among the employees at Red Crescent Society of Tehran. CONCLUSION: In every organization, the management must make sure that the employees recognize the importance of learning since it is a key factor in the success of the organization. It is necessary for the management of every organization to remove mental models and old beliefs and, considering the role of information technology in learning and creating transformations in learning methods, provide the grounds for its application among employees.

This study was conducted to determine the stock portfolio with the best return and low-risk investments using momentum-contrarian strategies (MCSs). The momentum-Contrarian strategy is one of the well-known models to construct the portfolio which suggests buying the stocks with the best performance (the winner stocks) and selling the stocks with the worst performance (the loser stocks). The optimal values of the portfolio's objective function and the weight of all assets in the portfolio that are not necessarily the same are calculated by defining a nonlinear multivariate optimization model combined with momentum-contrarian strategies (MCSs). The return information of companies listed on the Tehran Stock Exchange from 2014 to 2019 was used to select the best optimal portfolio. The results confirmed the stability in the profitability of the contrarian optimal portfolio with minimum risk compared to other optimal portfolios. Furthermore, through MATLAB software the optimal weight of assets in the optimal portfolio is calculated based on statistical data.