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Abstract
Digital transformation in the healthcare sector requires healthcare workers to possess adequate digital competence and manage technology-related pressures. This study examines the effects of digital competence and technostress on healthcare workforce performance, with employee engagement as a mediating variable. A quantitative associative approach was employed using questionnaire data collected from 184 healthcare workers in hospitals across the DKI Jakarta region. Data were analysed using Structural Equation Modelling–Partial Least Squares (SEM-PLS). The findings reveal that digital competence has a positive and significant effect on employee engagement but does not significantly affect healthcare workforce performance. Technostress does not significantly influence employee engagement, yet it has a positive and significant effect on performance. Employee engagement neither significantly affects performance nor mediates the relationships between digital competence, technostress, and healthcare workforce performance. The model explains 54.3% of the variation in performance. These findings highlight the importance of balancing digital competence enhancement and the management of technology-related pressures to support successful digital transformation and improve healthcare workforce performance.
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References
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- Anohina-Naumeca, A., & Āboliņa, A. (2023). Conceptualising Digital Competency for ICT Specialists. Human, Technologies and Quality of Education, 2023, 435–449. https://doi.org/10.22364/htqe.2023.34
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- Rai, M., & Yadav, I. (2022). Redefining employee engagement and its significance. International journal of health sciences. https://doi.org/10.53730/ijhs.v6nS1.8043
- Sekaran, U., & Bougie, R. (2016). Research Methods for Business: A Skill-Building Approach (7 ed.). John Wiley & Sons.
- Sugiyono. (2020). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.
- Vuorikari, R., Pokropek, A., & Muñoz, J. C. (2025). Enhancing digital skills assessment: introducing compact tools for measuring digital competence. Technology, Knowledge and Learning, 31(1), 519–546. https://doi.org/10.1007/s10758-025-09825-x
- Wang, X., Tan, S. C., & Li, L. (2020). Measuring university students’ technostress in technology-enhanced learning: Scale development and validation. Australasian Journal of Educational Technology, 36(4), 96–112. https://doi.org/10.14742/ajet.5329
References
Ababneh, O. M. A., LeFevre, M., & Bentley, T. (2019). Employee engagement: Development of a new measure. International Journal of Human Resources Development and Management, 19(2), 105–134. https://doi.org/10.1504/IJHRDM.2019.098623
Anohina-Naumeca, A., & Āboliņa, A. (2023). Conceptualising Digital Competency for ICT Specialists. Human, Technologies and Quality of Education, 2023, 435–449. https://doi.org/10.22364/htqe.2023.34
Anusi, I. H., & Mutambara, E. (2022). Digital Technology and Health Workers’ Performance: A Case of Hospitals in Nigeria and South Africa. International Journal of Social Science and Religion (IJSSR), 355–380. https://doi.org/10.53639/ijssr.v3i3.118
Bahamondes-Rosado, M. E., Cerdá-Suárez, L. M., Dodero Ortiz de Zevallos, G. F., & Espinosa-Cristia, J. F. (2023). Technostress at work during the COVID-19 lockdown phase (2020–2021): a systematic review of the literature. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1173425
Bakker, A. B., & Demerouti, E. (2007). The Job Demands-Resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328. https://doi.org/10.1108/02683940710733115
Bernales-Turpo, D., Quispe-Velasquez, R., Flores-Ticona, D., Saintila, J., Ruiz Mamani, P. G., Huancahuire-Vega, S., Morales-García, M., & Morales-García, W. C. (2022). Burnout, Professional Self-Efficacy, and Life Satisfaction as Predictors of Job Performance in Health Care Workers: The Mediating Role of Work Engagement. Journal of Primary Care and Community Health, 13. https://doi.org/10.1177/21501319221101845
Creswell, J. W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications.
Duan, S. X., Deng, H., & Wibowo, S. (2024). Technology Affordances for Enhancing Job Performance in Digital Work. Journal of Computer Information Systems, 64(2), 232–244. https://doi.org/10.1080/08874417.2023.2188497
Golz, C., Peter, K. A., Müller, T. J., Mutschler, J., Zwakhalen, S. M. G., & Hahn, S. (2021). Technostress and Digital Competence Among Health Professionals in Swiss Psychiatric Hospitals: Cross-sectional Study. JMIR Mental Health, 8(11), e31408. https://doi.org/10.2196/31408
Gurtskoy, L. D., Smirnova, E. K., Baranova, T. V., & Tykyl-Ool, A. S. (2024). Digital Skills of Medical Workers as a Staffing Priority in a Healthcare System. City Healthcare, 5(3), 167–172. https://doi.org/10.47619/2713-2617.zm.2024.v.5i3;167-172
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Third Edition. In Women Entrepreneurs. https://doi.org/10.1201/9781032725581-7
Hakanen, J. J., & Kaltiainen, J. (2026). Work Engagement: Feeling Happy, Motivated, and Resilient at Work. Annual Review of Organizational Psychology and Organizational Behavior, 13(1), 23–48. https://doi.org/10.1146/annurev-orgpsych-020924-064233
Hasinat, I., Hjouji, Z., Loulidi, S., & Hjouji, A. (2024). The Multifaceted Nature of Individual Job Performance: A Focus on Individual Behaviors. Pakistan Journal of Life and Social Sciences, 22(2), 9554–9570. https://doi.org/10.57239/PJLSS-2024-22.2.00723
Konovalova, V. (2022). Digital Technologies As a Factor of Techno-Stress: Problems and Possibilities for Their Solution. Management of the Personnel and Intellectual Resources in Russia, 11(3), 17–21. https://doi.org/10.12737/2305-7807-2022-11-3-17-21
Longhini, J., Rossettini, G., & Palese, A. (2024). Digital health competencies and affecting factors among healthcare professionals: additional findings from a systematic review. Journal of Research in Nursing, 29(2), 156–176. https://doi.org/10.1177/17449871241226899
Ministry of Health of the Republic of Indonesia. (2021). Blueprint for Digital Health Transformation Strategy 2024.
Ministry of Health of the Republic of Indonesia. (2025). Indonesia Health Profile 2024.
Mishra, A., Sharma, V., & Anand, G. (2022). Improving And Enhancing The Level Of Employee Engagement In Modern Era. PARIPEX INDIAN JOURNAL OF RESEARCH, 51–53. https://doi.org/10.36106/paripex/9705420
Nevangga, R. P., Sasmita, N. S., Krsitiyono, J., & Prakosa, A. W. (2023). Demographics Based Digital Literacy Level of National Hospital Employees as Digitizing Health Services Factor. Jurnal Ilmu Komunikasi, 21(2), 211. https://doi.org/10.31315/jik.v21i2.6493
Rai, M., & Yadav, I. (2022). Redefining employee engagement and its significance. International journal of health sciences. https://doi.org/10.53730/ijhs.v6nS1.8043
Sekaran, U., & Bougie, R. (2016). Research Methods for Business: A Skill-Building Approach (7 ed.). John Wiley & Sons.
Sugiyono. (2020). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Vuorikari, R., Pokropek, A., & Muñoz, J. C. (2025). Enhancing digital skills assessment: introducing compact tools for measuring digital competence. Technology, Knowledge and Learning, 31(1), 519–546. https://doi.org/10.1007/s10758-025-09825-x
Wang, X., Tan, S. C., & Li, L. (2020). Measuring university students’ technostress in technology-enhanced learning: Scale development and validation. Australasian Journal of Educational Technology, 36(4), 96–112. https://doi.org/10.14742/ajet.5329