Public Sector Talent Management Model: SLR And Future Research

Afriska Yuni Anggraini (), Eeng Ahman, Rofi Rofaida, Mamik Setiyorini and Zufrial Aristama
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Afriska Yuni Anggraini: Universitas Pendidikan Indonesia
Eeng Ahman: Universitas Pendidikan Indonesia
Rofi Rofaida: Universitas Pendidikan Indonesia
Mamik Setiyorini: Universitas Pendidikan Indonesia
Zufrial Aristama: Universitas Pendidikan Indonesia

A chapter in Proceedings of the 9th Global Conference on Business, Management and Entrepreneurship (GCBME 2024), 2025, pp 793-798 from Springer

Abstract: Abstract This study explores talent management (TM) in government organizations, addressing the critical need to recruit, develop, and retain skilled public sector employees. The research aims to construct a TM model that aligns with public sector values and addresses unique sector-specific challenges. Utilizing a systematic literature review guided by the PRISMA framework, the study analyzes key TM indicators from relevant academic sources, including talent attraction, identification, development, retention, and placement. Findings emphasize the importance of strategic and inclusive TM practices, supported by frameworks RBV and SET, which are essential for managing talent in governmental settings. The proposed model offers a comprehensive approach to TM, prioritizing stability, professional growth, and employee engagement within the public sector. This model addresses current and anticipated human capital needs, helping government organizations optimize talent resources while fostering a supportive work environment. This study enhances existing knowledge by contributing a tailored TM framework for public sector applications. It provides a foundation for further empirical validation and refinement of TM strategies in government organizations.

Keywords: Talent Management; Human Resource Management; Government Organization; Systematic Literature Review; Strategic Practices (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-817-2_93

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DOI: 10.2991/978-94-6463-817-2_93

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