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        1 - Developing a Team Performance Predictive Model Based on the Components of Team Learning, Transformational Leadership, and Team Reflection
        mohamadnaghi imani fatemeh ghorban fariba hanifi
        The aim of this study was to provide a predictive model of team performance based on team learning components, transformational leadership and team reflection. The research method was applied in terms of purpose and in terms of data type (quantitative). Also, this resea More
        The aim of this study was to provide a predictive model of team performance based on team learning components, transformational leadership and team reflection. The research method was applied in terms of purpose and in terms of data type (quantitative). Also, this research was a descriptive-correlational research in terms of data collection. The statistical population included all 1,700 employees of the Ministry of Education in the whole country. To determine the sample size, Cochran's method was used and 313 people were selected as a multi-stage cluster sampling method. Data were collected by documentary and field study (standard and researcher-made questionnaire). In the present study, apparent, content and structural validity were used to determine the validity of the questionnaire and to determine the reliability, Cronbach's alpha (team performance, 0.75, team learning, 0.81, transformational leadership, 0.79, and reflectivity Team (0.87) and combined reliability were used, all of which were approved. To analyze the data, structural equation modeling and T-group sampling tests were used. The results showed that the components of team learning are transformational leadership, team reflection, and factors predicting team performance. Manuscript profile
      • Open Access Article

        2 - A simulation Model to Predict and Improve the Performance of the Working Team and Achieve better Human-Resource Management Strategies (Case Study: Department of Industrial Management, Faculty of Management and Economics, Sciences and Research Branch, Islamic Azad University)
        fatemeh eskandar reza radfar abas toloi
        Given the importance of the role of human resources in organizations, strategic planning for achieving the optimum number of human resources in an organization is vital. The purpose of this research is to present a model for simulating and predicting team performance in More
        Given the importance of the role of human resources in organizations, strategic planning for achieving the optimum number of human resources in an organization is vital. The purpose of this research is to present a model for simulating and predicting team performance in industrial management teams in order to identify human-resource performance and improve human-resource management strategies. The factors that influence team performance are identified and extracted from previous studies, and then the timing of each task is examined in three scenarios, i.e. optimistic, probabilistic and Web-based, by identifying the processes that influence team performance. Model inputs are the number of students, the number of faculty, and the number of experts. Based on related studies, team performance outputs are three categories: The number of books, articles and theses; the desirability of team members; and the number of tasks completed, rejected, needed to revise or waiting in queue. The simulation was performed using Any Logic software. The results show that the desirability of the group manager and the training expert have the highest values in most scenarios and the number of tasks in the execution queue has a significant value in all scenarios. In some cases it is essential that new policies be adopted to improve HRM strategies in the industrial management department. Manuscript profile