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Application of Meta-Analysis Approach in Determining Talent Management Indicators

Publish Year: 1403
Type: Journal paper
Language: English
View: 86
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JR_JIMOB-4-1_005

Index date: 12 March 2024

Application of Meta-Analysis Approach in Determining Talent Management Indicators abstract

Objective: Talent management can be regarded as a tool to assist managers in formulating strategic plans and developing human resources. The purpose of this research is to investigate the effective indicators on talent management through meta-analysis.Methodology: This research is applied in purpose, descriptive in type, and quantitative in nature. The current study aims to quantitatively integrate the results of research conducted in the field of talent management using the CMA2 software (Comprehensive Meta-Analysis).Findings: Searching through various databases, out of 416 articles, 156 articles were selected based on predetermined criteria and examined. The analysis results showed that the highest effect size among the indicators affecting talent management includes alignment and retention of talents (0.595), talent pool (0.577), flexibility in recruitment and retention processes (0.556), organizational policies (0.585), structured talent selection/identification of key roles (0.542), and succession development (0.521).Conclusion: The research results indicate that the effective indicators on talent management include alignment and retention of talents, technological advancements, strategic planning, competition in the job market, merit placement, talent pool, legal and regulatory factors, flexibility in recruitment and retention processes, work-life balance, compensation systems, organizational policies, knowledge management, career development path management, talent development and enhancement, governing management structure, succession development, opportunity creation, organizational culture, needs assessment, structured talent selection/identification of key roles, diversity and inclusion, organizational reputation and credibility, human capital welfare, and work arrangements.Objective: Talent management can be regarded as a tool to assist managers in formulating strategic plans and developing human resources. The purpose of this research is to investigate the effective indicators on talent management through meta-analysis. Methodology: This research is applied in purpose, descriptive in type, and quantitative in nature. The current study aims to quantitatively integrate the results of research conducted in the field of talent management using the CMA2 software (Comprehensive Meta-Analysis). Findings: Searching through various databases, out of 416 articles, 156 articles were selected based on predetermined criteria and examined. The analysis results showed that the highest effect size among the indicators affecting talent management includes alignment and retention of talents (0.595), talent pool (0.577), flexibility in recruitment and retention processes (0.556), organizational policies (0.585), structured talent selection/identification of key roles (0.542), and succession development (0.521). Conclusion: The research results indicate that the effective indicators on talent management include alignment and retention of talents, technological advancements, strategic planning, competition in the job market, merit placement, talent pool, legal and regulatory factors, flexibility in recruitment and retention processes, work-life balance, compensation systems, organizational policies, knowledge management, career development path management, talent development and enhancement, governing management structure, succession development, opportunity creation, organizational culture, needs assessment, structured talent selection/identification of key roles, diversity and inclusion, organizational reputation and credibility, human capital welfare, and work arrangements.

Application of Meta-Analysis Approach in Determining Talent Management Indicators authors

Hamideh Ojaghi Shirmard

PhD student, Department of Public Administration, Bonab Branch, Islamic Azad University, Bonab, Iran

Shahla Sohrabi

Assistant Professor, Department of Public Administration, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Jafar Beikzad

Associate Professor, Department of Public Administration, Bonab Branch, Islamic Azad University, Bonab, Iran