THE EFFECT OF AI INTEGRATION IN HR PRACTICES ON EMPLOYEE PERFORMANCE: MEDIATING ROLES OF ENGAGEMENT AND PERCEIVED JOB SECURITY

Osly  Usman; Suryadi Suryadi; Rindi Nurlaila  Sari

doi:10.46306/bbijbm.v5i2.161

Authors

Osly Usman Universitas Negeri Jakarta
Suryadi Suryadi Universitas Negeri Jakarta
Rindi Nurlaila Sari Universitas Negeri Jakarta

DOI:

https://doi.org/10.46306/bbijbm.v5i2.161

Keywords:

Artificial Intelligence, Human Resource Management, Employee Performance, Employee Engagement, Perceived Job Security

Abstract

This study examines the effect of Artificial Intelligence (AI) implementation in Human Resource Management (HRM) on employee performance, with employee engagement and perceived job security as mediating variables. This research was conducted in a biopharmaceutical company in Jakarta with 100 respondents. The method used for data collection is a survey with data collection techniques through online questionnaires. The data processing technique used is Structural Equation Modeling (SEM) with Partial Least Squares (PLS). The results showed that the application of AI in HR has a significant influence on employee engagement, perceived job security, and employee performance. In addition, perceived job security was found to mediate the relationship between AI implementation and employee performance, while employee engagement did not play a mediating role on employee performance. The practical implications of this study provide a reference for HR managers and policy makers to effectively implement AI technologies, support innovation, and maintain employee well-being.

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References

Arora, N., & Mittal, V. (2024). Employee Acceptance of AI in Human Resource Practices: A Study of Perception and Adoption. Journal of Business Research, 22(3), 88-103.

Malik, A. (2024). The Role of AI in Enhancing Employee Engagement and Performance in HR. Journal of HR Technology, 12(3), 112-123.

Aguinis, H., & Kraiger, K. (2009). Benefits of training and development for individuals and teams, organizations, and society. Annual Review of Psychology, 60, 451-474.

El-Menawy, R. (2022). AI and Gamification: The Future of Job Security in the Workplace. Technology in HR, 9(4), 45-58.

Gallup. (2023). State of the global workplace: 2023 report. Gallup Press.

Ghorbanzadeh, A., et al. (2024). AI and its Positive Impact on Innovation and Employee Performance. Journal of Applied AI, 32(1), 72-85.

Gustiana, R., Hidayat, T., & Fauzi, A. (2022). Pelatihan dan pengembangan sumber daya manusia (suatu kajian literatur review ilmu manajemen sumber daya manusia). Jurnal Ekonomi Manajemen Sistem Informasi, 3(6), 657-666.

Jia, W., et al. (2020). The Role of AI in Enhancing Employee Performance and Job Security. International Journal of HRM, 12(2), 98-107.

Jiang, K., et al. (2023). Training and Engagement: A Meta-Analysis. Journal of Applied Psychology, 108(2), 1–25.

Johnson, R. E. (2021). Employee training and organizational commitment: Exploring the effects on job performance in the tech industry. Human Resource Management, 60(3), 359-374.

Karim, R. Al. (2019). Impact of different training and development programs on employee performance in Bangladesh perspective. International Journal of Entrepreneurial Research, 2(1), 8–14.

Lee, C., & Tan, S. S. (2020). Employee job performance in the high-tech industry: A social exchange perspective. Journal of Business Research, 112, 149–159.

López-García, M., et al. (2024). AI and Its Impact on Employee Satisfaction and Performance: A Longitudinal Study. Journal of Technology and Management, 13(3), 210-223.

McKinsey & Company. (2024). The state of organizations 2024: Ten shifts transforming organizations. McKinsey.

Prabhat Mittal, et al. (2023). AI in HR: Applications and Challenges. International Journal of Human Resource Development, 19(2), 99-113.

Presbitero, A., & Teng-Calleja, M. (2022). AI’s Role in Job Insecurity and Career Exploration. Journal of Organizational Behavior Studies, 29(2), 120-132.

PwC. (2023). Global workforce Hopes and Fears survey 2023. PwC.

Ria Emilia Sari, et al. (2020). Predictive Analytics and AI in Managing Employee Behavior. Journal of HR Analytics, 5(2), 145-156.

Roohani, M. (2023). Impact of AI Adoption on Job Security Perceptions and Career Exploration Behavior. Journal of Organizational Development, 18(1), 35-46.

Sadeghi, M. (2024). AI Implementation and Its Effects on Employee Perception of Job Security. Journal of Business Technology, 31(1), 44-56.

Samman, M., & Al Obaidly, F. (2024). AI Transformation in HR: A Comprehensive Review of Practices and Benefits. HR Technology Journal, 21(2), 98-110.

Siswanto, A. (2023). The Impact of Employee Training, Job Satisfaction, and Organizational Commitment on Employee Performance in the Tech Industry. Tafkir: Interdisciplinary Journal of Islamic Education, 4(3), 473-485.

Smith, A. B., Johnson, C. D., & Wang, L. (2022). The impact of employee training, job satisfaction, and organizational commitment on employee performance in the tech industry: A systematic review. Computers in Human Behavior, 130, 137–148.

Sundari, S., et al. (2024). AI-Driven Automation in Human Resources: Impact on Employee Engagement and Organizational Productivity. Human Resource Management Journal, 28(4), 451-465.