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A Sustainable Collaborative Talent Management Through Collaborative Intelligence Mindset Theory: A Systematic Review

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  • Yew Chee Chew
  • Siti Rohaida Mohamed Zainal

Abstract

As society evolves, moving forward into the realms of Industry 5.0, it is imperative to develop a robust collaborative talent management model that can endure external crises such as the recent Covid-19 pandemic. Despite the antiquity of collaborative practices—traceable back to early human societies—both practitioners and academics have frequently focused primarily on exploring the catalysts for collaboration, often neglecting to provide a holistic conceptualization of effective human collaboration. In alignment with the Sustainable Development Goals, this paper endeavors to critically review and delineate the evolution of talent management and collaborative intelligence literature. Employing a systematic review methodology, this study aims to formulate a novel framework for collaborative talent management, drawing upon the principles of a collaborative intelligence mindset, and to suggest avenues for future research in this domain. The findings propose the employment of collaborative intelligence through a mindset perspective as a means to bridge the literature gaps identified in areas such as interdisciplinary and cross-sector collaboration, digitalization and artificial intelligence, collaborative leadership styles, and performance measurement within the field.

Suggested Citation

  • Yew Chee Chew & Siti Rohaida Mohamed Zainal, 2024. "A Sustainable Collaborative Talent Management Through Collaborative Intelligence Mindset Theory: A Systematic Review," SAGE Open, , vol. 14(2), pages 21582440241, June.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241261851
    DOI: 10.1177/21582440241261851
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