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

Yew Chee Chew and Siti Rohaida Mohamed Zainal

SAGE Open, 2024, vol. 14, issue 2, 21582440241261851

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.

Keywords: talent management; collaborative intelligence; sustainability; diversity (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440241261851 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241261851

DOI: 10.1177/21582440241261851

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().