The Model for Acquiring Competencies in the State Protection Service Protection Teams in the Context of Operational Effectiveness and Reliability
Objectives The article aims to present and analyze the competence acquisition model in SOP protection teams, assess the tools used to measure competences, and emphasize the significance of both specialist and interpersonal skills for operational effectiveness, motivation, and job satisfaction—illustrated through the example of SOP officers. Methods 1. Literature review 2. Competency model analysis 3. Case study 4. Internal methods and document analysis 5. Synthesis of findings 6. Logical inference Results The analysis led to the creation of a competence acquisition model for SOP protection teams, integrating both specialist and interpersonal skills. It highlights the link between competence development, motivation, and job satisfaction. Key development stages—training, internships, and ongoing learning—were identified. The model proves effective, adaptable to evolving challenges, and applicable to other uniformed services. Conclusions The competence acquisition model in the State Protection Service highlights that operational effectiveness depends not only on specialist training but also on the continuous development of interpersonal skills. A structured development process—from initial training to regular assessment—ensures the service's readiness in a dynamic threat environment. Motivation, openness to learning, and ongoing development are essential to prevent stagnation and retain competent personnel. The model can serve as a reference for other uniformed services aiming to improve their personnel development strategies.
Authors
- Natalia Moch (ORCID: https://orcid.org/0000-0003-2177-0883)
- Łukasz Żmijewski (ORCID: https://orcid.org/0000-0003-4831-8184)
- Sławomir Zygadło (ORCID: https://orcid.org/0000-0003-4394-8451)
Institutions
- Military University of Technology in Warsaw (PL)
Publication Details
- Journal
- Przegląd Nauk o Obronności
- Published
- 2025-06-16
- DOI
- https://doi.org/10.37055/pno/205994
- Primary Topic
- Technology Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00