Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Good Governance and the Effectiveness of Employee Recruitment and Selection in Public Organizations: The Mediating Role of Knowledge Management

Document Type : Original Article

Authors
Department of Public Administration, Faculty of Management and Economics, Vietnam National University, Hanoi, Vietnam
Abstract
Purpose: Recruitment and selection is one of the most consequential human resource management (HRM) processes in public organizations. This study examines whether good governance is associated with the effectiveness of recruitment and selection systems and whether knowledge management (KM) mediates this association. Design/methodology/approach: A cross-sectional survey was conducted among 345 employees and managers of five provincial public organizations in Nghe An Province, Vietnam, selected by stratified random sampling (usable response rate 82.1%). A 36-item questionnaire measured three dimensions of each construct, and the data were analysed with partial least squares structural equation modeling (PLS-SEM). Findings: The measurement model showed satisfactory loadings (0.805–0.882), composite reliability (0.878–0.904), convergent validity (AVE 0.706–0.759) and discriminant validity (HTMT 0.61–0.62, all upper confidence limits below 0.85). Good governance was positively associated with KM (β = 0.502) and with recruitment and selection effectiveness (β = 0.315), and KM with recruitment and selection effectiveness (β = 0.363; all p < .001). The indirect effect through KM was 0.182 (95% CI [0.129, 0.239]), 37% of the total effect, indicating complementary mediation. The model explained 25.2% of the variance in KM and 34.6% in recruitment and selection effectiveness. Originality/value: The study links governance principles to a specific HRM outcome and identifies KM as a mechanism through which governance may be translated into better hiring; because the design is cross-sectional and single-source, the paths are associations rather than demonstrated effects.
Keywords

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Volume 8, Issue 2
Spring 2026
Pages 167-178

  • Receive Date 02 March 2026
  • Revise Date 12 May 2026
  • Accept Date 03 June 2026