Transformational Leadership and Police Officer Job Performance: A Conceptual Model Moderated by Knowledge Sharing
This conceptual article explores the relationship between transformational leadership (TL) and police officer job performance (POJP), emphasizing the moderating role of knowledge sharing (KS) within the unique context of law enforcement organizations in the United Arab Emirates. Drawing upon Transformational Leadership Theory and Knowledge-Based Theory, the paper proposes a framework wherein transformational leadership drives performance outcomes by fostering motivation, trust, and adaptability among officers. However, the effectiveness of such leadership is contingent upon the organizational culture of knowledge sharing. The literature suggests that while TL positively influences POJP, its full potential is often constrained in environments lacking robust knowledge exchange mechanisms. By positioning KS as a moderating variable, this framework responds to inconsistent findings in prior studies and addresses a critical research gap in public sector leadership and performance. The article contributes theoretically by integrating leadership and knowledge management constructs and offers practical implications for police departments seeking to improve service delivery. It also proposes testable propositions to guide empirical research and recommends that future studies apply quantitative methods to validate the proposed relationships. This research enhances our understanding of how leadership and knowledge dynamics interact to influence performance in complex, hierarchical, and knowledge-intensive public organizations.
Authors
- Mohd Fitri Mansor (ORCID: https://orcid.org/0000-0003-3607-6720)
- Mohd Sofian Bin Mohammad Rosbi
- Khalifa Ahmed Saeed Aylan Almheiri
Publication Details
- Journal
- The International Journal of Business & Management
- Published
- 2025-09-09
- DOI
- https://doi.org/10.24940/theijbm/2025/v13/i6/bm2506-004
- Primary Topic
- Organizational and Employee Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00