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Talent Management, Affective Organizational Commitment and Service Performance in Local Government

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  • Roberto Luna-Arocas

    (Faculty of Economics, University of Valencia, Business Management Department, 46022 Valencia, Spain)

  • Francisco J. Lara

    (Management Department, CUA—The Busch School of Business, Department of Management, Washington, DC 20064, USA)

Abstract

Talent management (TM) is a fundamental issue for both private and public sector companies. This study analyzes the impact of TM on service performance (SP) and the mediating role of affective organizational commitment (AOC). We analyze a sample of 104 local government employees with three measures of TM, AOC and SP. The mediation hypothesis of AOC was also raised in the study using Baron and Kenny’s methodology and Hayes PROCESS. The results reveal how AOC is a total mediating variable in the causal relationship TM → SP. This study is cross-sectional. Common-method bias is controlled in the study. The results involves a concern for improving services through the professionals who provide them, which in turn entails managing people in a way that is different, more flexible, less bureaucratic, and more client- or citizen-oriented. Given the scant research exploring the role of talent management in public services, this article offers valuable insights for scientific literature and practitioners in the public administration.

Suggested Citation

  • Roberto Luna-Arocas & Francisco J. Lara, 2020. "Talent Management, Affective Organizational Commitment and Service Performance in Local Government," IJERPH, MDPI, vol. 17(13), pages 1-15, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4827-:d:380434
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    2. P.C. Bahuguna & Deepak Bangwal & Rajeev Kumar, 2023. "Talent Management and Its Impact on Organizational Commitment: An Empirical Investigation of Indian Hospitality Industry," FIIB Business Review, , vol. 12(2), pages 176-192, June.
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    5. Fareri, Silvia & Apreda, Riccardo & Mulas, Valentina & Alonso, Ruben, 2023. "The worker profiler: Assessing the digital skill gaps for enhancing energy efficiency in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

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