A Meta-Analysis of HRM Key Indicators Affecting Employees Performance Improvement

Today, employees are one of the most important sources of success for organizations, and identifying the factors that affect employee performance has become one of the main tasks of managers. The purpose of this study is to investigate human resource management indicators that affect employee performance by using meta-analysis method with using CMA software. The statistical population of the study included all studies that examined the factors affecting the improvement of employee performance. A collection of studies was comprised of 252 studies. Aaccording to the standards of the meta-analysis approach, 165 studies were excluded and 87 studies were selected. The results of data analysis showed that job satisfaction, organizational commitment, compensation system, quality of work life, leader-member exchange, organizational justice, organizational support, performance evaluation system, organizational culture, Creativity and innovation, collaborative management, education and rehabilitation programs, meaningful job, human resource empowerment, job security, organizational climate, autonomy, career development and job motivation have a positive effect on employee performance improvement. The effect of organizational policy variables, role ambiguity, job redesign, job demands on employee performance improvements was not confirmed.