Proceedings of the 9th Global Conference on Business, Management and Entrepreneurship (GCBME 2024)

<Previous Article In Volume
Next Article In Volume>

Public Sector Talent Management Model: SLR And Future Research

Authors
Afriska Yuni Anggraini1, *, Eeng Ahman1, Rofi Rofaida1, Mamik Setiyorini1, Zufrial Aristama1
1Universitas Pendidikan Indonesia, 40154, Bandung, Indonesia
*Corresponding author. Email: afriska.anggraini@upi.go.id
Corresponding Author
Afriska Yuni Anggraini
Available Online 12 September 2025.
DOI
10.2991/978-94-6463-817-2_93How to use a DOI?
Keywords
Talent Management; Human Resource Management; Government Organization; Systematic Literature Review; Strategic Practices
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 9th Global Conference on Business, Management and Entrepreneurship (GCBME 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
12 September 2025
ISBN
978-94-6463-817-2
ISSN
2352-5428
DOI
10.2991/978-94-6463-817-2_93How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Afriska Yuni Anggraini
AU  - Eeng Ahman
AU  - Rofi Rofaida
AU  - Mamik Setiyorini
AU  - Zufrial Aristama
PY  - 2025
DA  - 2025/09/12
TI  - Public Sector Talent Management Model: SLR And Future Research
BT  - Proceedings of the 9th Global Conference on Business, Management and Entrepreneurship (GCBME 2024)
PB  - Atlantis Press
SP  - 793
EP  - 798
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-817-2_93
DO  - 10.2991/978-94-6463-817-2_93
ID  - Anggraini2025
ER  -