عنوان مقاله [English]
Purpose: Human resources today is the most important factor in the success of their organizations. In this context, one way to achieve competitive advantage is talent and abilities of employees. Talent management in the organization is a very essential factor for optimum use of human resources. The purpose of this study was to identify the antecedents and consequences of talent management using a meta- analysis approach.Design/Methodology/Approach: The present study is descriptive in terms of purpose, practical in terms of usage and quantitative in terms of type of data. The study population consists of scientific articles and master`s thesis in the field of talent management from 2010 to 2019, that 40 cases were entered through meta-analysis process with a non- random purposive sampling method.Research Findings: Findings showed that among the talent management antecedents, respectively, the variables of Organizational Learning (0.741), human capital (0.699), strategic human resource management (0.666), rules and regulations (0.621), organizational social responsibility (0.617) and ethical leadership (0.597) had the high effect size (above 0.5). Also, among the consequences of talent management, respectively, reduce intention to quit (0.794), job security (0.780), human resource productivity (0.728), organizational trust (0.690), knowledge creation (0.676), job attachment (0.640), Replacement (0.629), organizational performance (0.564) and employee empowerment (0.550) had the high effect size (above 0.5).Limitations & Consequences: One of the limitations of the present study was the probability of publication bias, although detailed and in- depth investigations have been undertaken to identify relevant studies, but may have been overlooked.Practical Implications and Value of the Article: Meta- Analysis with combining different results quantitatively, helps to identify the antecedents and consequences of talent management more coherently and systematically. Also, Meta- analysis had made planning for improving talent management in the organizations more accurately and operationally, because it focus on variables that are more important instead of planning for a range of antecedents and consequences.