Collaborative Talent Intelligence and Business Performance: A Meta-Analysis of Empirical Studies

HRMARS - Purpose – The purpose of this meta-analysis is to explore the link between collaborative talent intelligence and business performance by consolidating findings from empirical studies conducted across various industries. The review seeks to provide a clearer understanding of how organizations benefit from integrating collective workforce insights, talent data, and cross-functional collaboration into their strategic and operational practices. Design – This study adopts a meta-analysis design to systematically review, compare, and synthesize empirical research related to collaborative talent intelligence and business performance. The approach involves identifying relevant peer-reviewed studies, applying inclusion and exclusion criteria, and analysing common variables and outcome measures reported across the literature. Findings – The findings reveal that collaborative talent intelligence plays a significant role in enhancing business performance. Organizations that effectively leverage shared workforce knowledge, data-driven talent practices, and cross-departmental collaboration tend to experience improvements in innovation capability, operational efficiency, decision-making quality, and overall competitiveness. Limitation – This meta-analysis is limited by its reliance on secondary data obtained solely from published empirical studies. As a result, the review may not fully capture emerging practices, industry-specific strategies, or relevant findings contained in unpublished or practitioner-based reports. The scope is also confined to the availability and quality of existing research, which may limit the generalizability of certain conclusions across different sectors or organizational contexts. Practical Implication – The study offers practical implications for industries by emphasizing the importance of integrating collaborative talent intelligence into organizational strategies. Firms are encouraged to invest in systems that facilitate data sharing, workforce analytics, and cross-functional teamwork. By adopting these practices, industry leaders can build more agile, informed, and competitive organizations capable of sustaining strong performance in a rapidly evolving business landscape.