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Management and Economics OPEN ACCESS

Specifics of Effective Selection and Training of Security Personnel in Large Companies

Maksym Ivanov
Kyiv University of Tourism, Economics and Law. Organization Management. Specialist. Dublin, IL, USA.
tajmei 2026
VOL. 8 / NO. 04 APRIL
VOLUME 8
ISSUE 04
YEAR 2026
PAGES 60-66

Abstract

The study is dedicated to the systematization and analysis of existing approaches to the selection and training of security service personnel. The aim of the research is to examine the specific characteristics of effective recruitment and subsequent training of security staff in large corporations. The methodological framework comprises analysis and synthesis of recent scientific publications on psychophysiological diagnostics of candidates, evaluation of the predictive validity of selection techniques, and the integration of immersive VR/AR technologies and digital twins into training programs. As a result, a synergistic model is proposed that combines multilevel psychodiagnostic profiles with an architecture of adaptive training programs, enabling the creation of personalized development trajectories for employees and enhancing their resilience to stressful and unexpected situations. The scientific contribution lies in the substantiation of a competency-based synergistic model that links candidates’ psychodiagnostic data with adaptive learning modules based on digital twins and VR technologies. The practical significance of the findings consists in their applicability for security managers, human resources directors, and specialists responsible for the development of corporate security systems in large organizations.

Keywords

corporate security personnel selection personnel training competency-based approach psychodiagnostics insider threats VR technologies in training adaptive learning human resource management security services

References

  1. Cost of a Data Breach Report 2023. [Electronic resource]. - Access mode: https://www.ibm.com/reports/data-breach (date of access: 12.05.2025).
  2. Gartner Identifies the Top Cybersecurity Trends for 2024. [Electronic resource]. - Access mode: https://www.gartner.com/en/newsroom/press-releases/2024-02-22-gartner-identifies-top-cybersecurity-trends-for-2024 (date of access: 15.05.2025).
  3. Abd El Motaleb A. M. A. Competency-based human resources management (case study) //Middle East Journal for Scientific Publishing. – 2021. – Vol. 3 (3). – pp. 42-72.
  4. Ravichandran S. et al. Pre-employment testing practices in the hospitality industry in the US and Australia //Journal of Human Resources in Hospitality & Tourism. – 2022. – Vol. 21 (4). – pp. 524-547. https://doi.org/10.1080/15332845.2022.2106614.
  5. Sachan V. S. et al. The Role Of Artificial Intelligence In HRM: Opportunities, Challenges, And Ethical Considerations //Educational Administration: Theory and Practice. – 2024. – Vol. 30 (4). – pp. 7427-7435.
  6. Valluripally S. et al. Detection of security and privacy attacks disrupting user immersive experience in virtual reality learning environments //IEEE Transactions on Services Computing. – 2022. – Vol. 16 (4). – pp. 2559-2574. https://doi.org/10.1109/TSC.2022.3216539.
  7. Salama R. et al. Using Gamification to Increase Healthcare Professionals’ Cybersecurity Awareness //International Conference on Smart Applications and Sustainability in the Artificial Intelligence of Things. – Cham : Springer Nature Switzerland, 2024. – pp. 915-922.
  8. Gligorea I. et al. Adaptive learning using artificial intelligence in e-learning: A literature review //Education Sciences. – 2023. – Vol. 13 (12). https://doi.org/10.3390/educsci13121216.
  9. Hu S., Hsu C., Zhou Z. Security education, training, and awareness programs: Literature review //Journal of Computer Information Systems. – 2022. – Vol. 62 (4). – pp. 752-764. https://doi.org/10.1080/08874417.2021.1913671.
  10. What does virtual reality and the metaverse mean for training? [Electronic resource]. – Access mode: https://www.pwc.com/us/en/tech-effect/emerging-tech/virtual-reality-study.html (date of access: 18.05.2025).
  11. Luo Q. et al. Applications of digital twin technology in construction safety risk management: a literature review //Engineering, construction and architectural management. – 2024. - pp. 3587-3607. https://doi.org/10.1108/ECAM-11-2023-1095.
  12. Garg M., Goel A. A systematic literature review on online assessment security: Current challenges and integrity strategies //Computers & Security. – 2022. – Vol. 113. https://doi.org/10.1016/j.cose.2021.102544.