Automation and Work Engagement: The Role of Job Insecurity, Self-Efficacy, and Career Transition Benefit

  • Aditya Wishnumurti BINUS University, Indonesia
  • Danil Firdian Era Effendi BINUS University, Indonesia
  • Nugroho Juli Setiadi BINUS University, Indonesia
Keywords: job insecurity, self-efficacy, work engagement, career transition benefit, automation, technological transformation

Abstract

Automation is increasingly changing how organizations operate—not only by improving efficiency but also by reshaping job roles and responsibilities. While technological advancement can strengthen competitiveness, it may also create uncertainty about the future of certain positions. In such situations, maintaining employee engagement becomes more complex. This study explores how job insecurity and self-efficacy influence work engagement and examines whether career transition benefits play a moderating role among employees experiencing automation-driven changes in their workplaces. A quantitative cross-sectional approach was applied, involving 114 non-managerial employees. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that job insecurity significantly reduces work engagement, indicating that when employees feel uncertain about job continuity, their psychological involvement declines. Self-efficacy, however, does not show a significant effect, and career transition benefits do not moderate the relationships examined. These findings suggest that during automation-driven transformation, perceptions of job stability have a stronger influence on engagement than personal confidence or perceived career mobility opportunities.

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References

Aithal, P. S. (2023). How to create business value through technological innovations using ICCT underlying technologies. International Journal of Applied Engineering and Management Letters (IJAEML), 7(2), 232–292.

Angelopoulos, S., Bendoly, E., Fransoo, J. C., Hoberg, K., Ou, C. X., & Tenhiala, A. (2023). Digital transformation in operations management: Fundamental change through agency reversal. Journal of Operations Management. Advance online publication.

Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.

Bhuiyan, M. R. I., Faraji, M. R., Rashid, M., Bhuyan, M. K., Hossain, R., & Ghose, P. (2024). Digital transformation in SMEs: Emerging technological tools and technologies for enhancing SMEs’ strategies and outcomes. Journal of Ecohumanism, 3(4), 211–224.

Chan, X. W., Kalliath, T., Brough, P., & Siu, O. L. (2017). Self-efficacy and work engagement: Test of a chain model. International Journal of Manpower, 38(6), 819–834. https://doi.org/10.1108/IJM-11-2015-0189

De Vos, A., Van der Heijden, B. I. J. M., & Akkermans, J. (2018). Sustainable careers: Towards a conceptual model. Journal of Vocational Behavior, 107, 1–13. https://doi.org/10.1016/j.jvb.2018.06.011

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications.

Hassanein, F., & Özgit, H. (2022). Sustaining human resources through talent management strategies and employee engagement in the Middle East hotel industry. Sustainability, 14(22), 15365.

Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524. https://doi.org/10.1037/0003-066X.44.3.513

Hobfoll, S. E., Halbesleben, J., Neveu, J. P., & Westman, M. (2018). Conservation of resources in the organizational context: The reality of resources and their consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5, 103–128. https://doi.org/10.1146/annurev-orgpsych-032117-104640

Ojika, F. U., Owobu, W. O., Abieba, O. A., Esan, O. J., Ubamadu, B. C., & Daraojimba, A. I. (2022). The role of artificial intelligence in business process automation: A model for reducing operational costs and enhancing efficiency. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), 842–860.

Panyaram, S., & Kotte, K. R. (2025). Leveraging AI and data analytics for sustainable robotic process automation (RPA) in media: Driving innovation in green field business process. Dalam Driving business success through eco-friendly strategies (hlm. 249–262). IGI Global Scientific Publishing.

Parker, S. K., & Grote, G. (2022). Automation, algorithms, and beyond: Why work design matters more than ever in a digital world. Applied Psychology, 71(4), 1171–1204.

Pogrebnyakov, N. (2025). Mass automation: Rethinking companies for an AI era when they can operate autonomously. Archway Publishing.

Rothwell, A., & Arnold, J. (2007). Self-perceived employability: Development and validation of a scale. Personnel Review, 36(1), 23–41. https://doi.org/10.1108/00483480710716704

Salem, N. H., Ishaq, M. I., Yaqoob, S., Raza, A., & Zia, H. (2023). Employee engagement, innovative work behaviour, and employee wellbeing: Do workplace spirituality and individual spirituality matter? Business Ethics, the Environment & Responsibility, 32(2), 657–669.

Santoso, N. R., Sulistyaningtyas, I. D., & Pratama, B. P. (2022). Transformational leadership during the COVID-19 pandemic: Strengthening employee engagement through internal communication. Journal of Communication Inquiry. Advance online publication.

Santoso, N. R., Sulistyaningtyas, I. D., & Pratama, B. P. (2023). Employee engagement and trust relationships during COVID-19 pandemic: The expanded role of internal communication.

Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25(3), 293–315. https://doi.org/10.1002/job.248

Schwarzer, R., & Jerusalem, M. (1995). Generalized self-efficacy scale. Dalam J. Weinman, S. Wright, & M. Johnston (Eds.), Measures in health psychology: A user’s portfolio. Causal and control beliefs (hlm. 35–37). NFER-NELSON.

Vander Elst, T., De Witte, H., & De Cuyper, N. (2014). The job insecurity scale: A psychometric evaluation across five European countries. European Journal of Work and Organizational Psychology, 23(3), 364–380. https://doi.org/10.1080/1359432X.2012.745989

Vukman, K., Klarić, K., Greger, K., & Perić, I. (2024). Driving efficiency and competitiveness: Trends and innovations in ERP systems for the wood industry. Forests, 15(2), 230.

Yu, S., Gong, X., & Wu, N. (2020). Job insecurity and employee engagement: A moderated dual path model. Sustainability, 12(23), Article 10081. https://doi.org/10.3390/su122310081

Published
2026-03-27