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Human Resources Analytics for Public Personnel Management: Concepts, Cases, and Caveats

Author

Listed:
  • Wonhyuk Cho

    (Wellington School of Business and Government, Victoria University of Wellington, Wellington 6011, New Zealand)

  • Seeyoung Choi

    (Ministry of Personnel Management, Sejong-si 30102, Republic of Korea)

  • Hemin Choi

    (Graduate School of Global Cooperation, Hallym University, Chuncheon-si 24252, Republic of Korea)

Abstract

The advancement of data technology such as machine learning and artificial intelligence has broadened the scope of human resources (HR) analytics, commonly referred to as “people analytics.” This field has seen significant growth in recent years as organizations increasingly rely on algorithm-based predictive tools for HR-related decision making. However, its application in the public sector is not yet fully understood. This study examined the concepts and practices of HR analytics through a thematic review, and proposed a five-step process (define, collect, analyze, share, and reflect) for implementation in the public sector—the process aims to assist with the integration of HR analytics in public personnel management practices. By analyzing cases in both the public and private sectors, this study identified key lessons for functional areas such as workforce planning, recruitment, HR development, and performance management. This research also identified the necessary conditions for introducing HR analytics in public organizations, including data management, staff capabilities, and acceptance, and discussed the potential challenges of privacy, integrity, algorithmic bias, and publicness.

Suggested Citation

  • Wonhyuk Cho & Seeyoung Choi & Hemin Choi, 2023. "Human Resources Analytics for Public Personnel Management: Concepts, Cases, and Caveats," Administrative Sciences, MDPI, vol. 13(2), pages 1-22, January.
  • Handle: RePEc:gam:jadmsc:v:13:y:2023:i:2:p:41-:d:1052480
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    References listed on IDEAS

    as
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    3. Foteini Kravariti & Karen Johnston, 2020. "Talent management: a critical literature review and research agenda for public sector human resource management," Public Management Review, Taylor & Francis Journals, vol. 22(1), pages 75-95, January.
    4. Manuela Nocker & Vania Sena, 2019. "Big Data and Human Resources Management: The Rise of Talent Analytics," Social Sciences, MDPI, vol. 8(10), pages 1-19, September.
    5. Kerry Brown, 2004. "Human resource management in the public sector," Public Management Review, Taylor & Francis Journals, vol. 6(3), pages 303-309, September.
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