Digitalisation, Techno-stressor, and Digital Readiness: Their Effects on Job Stress and MSMEs’ Performance

Khoirul Hikmah; Arief Subiyantoro; Marita Marita; Rifqi Syarif Nasrulloh; Aditya Wardana; Muhammad Ilham Fawwaz

doi:10.32535/ijafap.v9i3.4536

Digitalisation, Techno-stressor, and Digital Readiness: Their Effects on Job Stress and MSMEs’ Performance

Khoirul Hikmah, Arief Subiyantoro, Marita Marita, Rifqi Syarif Nasrulloh, Aditya Wardana, Muhammad Ilham Fawwaz

Abstract

Digitalisation in the Society 4.0 era has accelerated the adoption of digital technologies among MSMEs’. While digital transformation improves efficiency and competitiveness, it may create psychological pressure related to technology use. This study examines the effect of digitalisation on job stress and digital performance among MSMEs in Yogyakarta, with techno-stressor as a mediating variable and digital readiness as a moderating variable. The research uses a quantitative approach based on survey data from 171 MSME owners and managers using digital technologies in business operations. Data were analysed using Partial Least Squares Structural Equation Modeling with SmartPLS 4.1. The results show that digitalisation does not directly affect job stress or techno-stressor. However, techno-stressor significantly increases job stress. Digital readiness strengthens the relationship between digitalisation and techno-stressor and positively affects digital performance. These findings indicate that the psychological impact of digital transformation in MSMEs depends more on technological pressure and organisational readiness. Strengthening digital readiness through training and organisational support is essential to improve digital performance

Keywords

digital performance; digital readiness; digitalisation; job stress; MSMEs; techno-stressor

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References

Alfehaid, M. M., Hassan, T. H., Alfisal, A. A., Saleh, M. I., Bumbak, S. V., & Helal, M. Y. (2024). Post-Pandemic Digital Transformation: Mitigating Technostressand Increasing Well-Being in the Hospitality Industry via the Person-Technology Fit Model. GeoJournal of Tourism and Geosites, 53(2), 388–399. https://doi.org/10.30892/gtg.53202-1214

Bakker, A.B. Demerouti, E. (2010). The Job Demands-Resources model: state of the art. Journal of Managerial Psychology, Vol. 22 Issue: 3, Pp.309-328., Unit 07.

Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. (2023). Job Demands–Resources Theory: Ten Years Later. Annual Review of Organizational Psychology and Organizational Behavior, 10. https://doi.org/https://doi.org/10.1146/annurev-orgpsych-120920-053933

Becker, J., Derra, N. D., Regal, C., & Kühlmann, T. M. (2022). Mitigating the negative consequences of ICT use: the moderating effect of active-functional and dysfunctional coping. Journal of Decision Systems, 31(4), 374–406. https://doi.org/10.1080/12460125.2021.1901337

Bregenzer, A., & Jimenez, P. (2021). Risk Factors and Leadership in a Digitalized Working World and Their Effects on Employees’ Stress and Resources: Web-Based Questionnaire Study. Journal of Medical Internet Research, 23(3), e24906. https://doi.org/10.2196/24906

Brivio, E., Gaudioso, F., Vergine, I., Mirizzi, C. R., Reina, C., Stellari, A., & Galimberti, C. (2018). Preventing Technostress Through Positive Technology. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02569

Cavicchioli, M., Demaria, F., Nannetti, F., Scapolan, A. C., & Fabbri, T. (2025). Employees’ attitudes and work-related stress in the digital workplace: an empirical investigation. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1546832

Demerouti, E., Nachreiner, F., Bakker, A. B., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3). https://doi.org/10.1037/0021-9010.86.3.499

Dragano, N., & Lunau, T. (2020). Technostress at work and mental health: concepts and research results. Current Opinion in Psychiatry, 33(4), 407–413. https://doi.org/10.1097/YCO.0000000000000613

Fischer, T., Reuter, M., & Riedl, R. (2021). The Digital Stressors Scale: Development and Validation of a New Survey Instrument to Measure Digital Stress Perceptions in the Workplace Context. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.607598

Fonseca, L. M. (2018). Industry 4.0 and the digital society: concepts, dimensions and envisioned benefits. Proceedings of the International Conference on Business Excellence, 12(1), 386–397. https://doi.org/10.2478/picbe-2018-0034

Ghafoor, A., & Haar, J. (2022). Does job stress enhance employee creativity? Exploring the role of psychological capital. Personnel Review, 51(2), 644–661. https://doi.org/10.1108/PR-08-2019-0443

Ghahremani-Nahr, J., & Nozari, H. (2021). A Survey for Investigating Key Performance Indicators in Digital Marketing. International Journal of Innovation in Marketing Elements, 1(1), 1–6. https://doi.org/10.59615/ijime.1.1.1

Gimpel, H., Lanzl, J., Regal, C., Urbach, N., Becker, J., & Tegtmeier, P. (2025). Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors. Information Systems Research, 36(2), 896–915. https://doi.org/10.1287/isre.2022.0691

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

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM). In SAGE Publications, Inc. (Issue 1).

Han, S. (2024). Digitalization and job stress: exploring the mediating roles of job and personal aversion risk with gender as a moderator. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1370711

Händel, M., Stephan, M., Gläser-Zikuda, M., Kopp, B., Bedenlier, S., & Ziegler, A. (2022). Digital readiness and its effects on higher education students’ socio-emotional perceptions in the context of the COVID-19 pandemic. Journal of Research on Technology in Education, 54(2), 267–280. https://doi.org/10.1080/15391523.2020.1846147

Huang, C.-L., & Haried, P. (2020). An Evaluation of Uncertainty and Anticipatory Anxiety Impacts on Technology Use. International Journal of Human–Computer Interaction, 36(7), 641–649. https://doi.org/10.1080/10447318.2019.1672410

Kaltenegger, H. C., Marques, M. D., Becker, L., Rohleder, N., Nowak, D., Wright, B. J., & Weigl, M. (2024). Prospective associations of technostress at work, burnout symptoms, hair cortisol, and chronic low-grade inflammation. Brain, Behavior, and Immunity, 117, 320–329. https://doi.org/10.1016/j.bbi.2024.01.222

Kock, N. (2015). Common method bias in PLS-SEM : A full collinearity assessment approach. 1–10.

La Torre, G., De Leonardis, V., & Chiappetta, M. (2020). Technostress: how does it affect the productivity and life of an individual? Results of an observational study. Public Health, 189, 60–65. https://doi.org/10.1016/j.puhe.2020.09.013

Lanzl, J. (2023). Social Support as Technostress Inhibitor. Business & Information Systems Engineering, 65(3), 329–343. https://doi.org/10.1007/s12599-023-00799-7

Lazarus, R. S., & Folkman, S. (1984). Stress, Appraisal, and Coping. In Health Psychology: A Handbook.

Lee, Y.-K. (2021). Impacts of Digital Technostress and Digital Technology Self-Efficacy on Fintech Usage Intention of Chinese Gen Z Consumers. Sustainability, 13(9), 5077. https://doi.org/10.3390/su13095077

Li, L., Su, F., Zhang, W., & Mao, J. (2018). Digital transformation by entrepreneurs: A capability perspective. Information Systems Journal, 28(6), 1129–1157. https://doi.org/10.1111/isj.12153

Liao, Y., Deschamps, F., Loures, E. de F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609–3629. https://doi.org/10.1080/00207543.2017.1308576

Makowska-T?omak, E., Bedy?ska, S., Skorupska, K., Nielek, R., Kornacka, M., & Kope?, W. (2023). Measuring digital transformation stress at the workplace–Development and validation of the digital transformation stress scale. PLOS ONE, 18(10), e0287223. https://doi.org/10.1371/journal.pone.0287223

Malik, N., Tripathi, S. N., Kar, A. K., & Gupta, S. (2022). Impact of artificial intelligence on employees working in industry 4.0 led organizations. International Journal of Manpower, 43(2), 334–354. https://doi.org/10.1108/IJM-03-2021-0173

Marjerison, R. K., Han, L., & Chen, J. (2023). Investor Behavior during Periods of Crises: The Chinese Funds Market during the 2020 Pandemic. Review of Integrative Business and Economics Research, 12(1), 71–91.

Marsh, E., Perez Vallejos, E., & Spence, A. (2024). Overloaded by Information or Worried About Missing Out on It: A Quantitative Study of Stress, Burnout, and Mental Health Implications in the Digital Workplace. Sage Open, 14(3). https://doi.org/10.1177/21582440241268830

Martin, L., Hauret, L., & Fuhrer, C. (2022). Digitally transformed home office impacts on job satisfaction, job stress and job productivity. COVID-19 findings. PLOS ONE, 17(3), e0265131. https://doi.org/10.1371/journal.pone.0265131

Matt, C., Hess, T., & Benlian, A. (2015). Digital Transformation Strategies. Business & Information Systems Engineering, 57(5), 339–343. https://doi.org/10.1007/s12599-015-0401-5

Michelotto, F., & Joia, L. A. (2024). Organizational Digital Transformation Readiness: An Exploratory Investigation. In Journal of Theoretical and Applied Electronic Commerce Research (Vol. 19, Issue 4, pp. 3283–3304). https://doi.org/10.3390/jtaer19040159

Morrar, R., & Arman, H. (2017). The Fourth Industrial Revolution (Industry 4.0): A Social Innovation Perspective. Technology Innovation Management Review, 7(11), 12–20. https://doi.org/10.22215/timreview/1117

Mougha, W., Nordin, S. M., Salleh, R., & Abbasi, H. A. (2023). Exploring the Impact of Techno-Complexity and Techno-Uncertainty on Academic Staff’s Job Performance in the Era of Social Networking Stressors. Business Management and Strategy, 14(2), 329. https://doi.org/10.5296/bms.v14i2.21555

Nasir, J., Ibrahim, R. M., Sarwar, M. A., Sarwar, B., Al-Rahmi, W. M., Alturise, F., Samed Al-Adwan, A., & Uddin, M. (2022). The Effects of Transformational Leadership, Organizational Innovation, Work Stressors, and Creativity on Employee Performance in SMEs. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.772104

Nisafani, A. S., Kiely, G., & Mahony, C. (2020). Workers’ technostress: a review of its causes, strains, inhibitors, and impacts. Journal of Decision Systems, 29(sup1), 243–258. https://doi.org/10.1080/12460125.2020.1796286

Pingali, S. R., Singha, S., Arunachalam, S., & Pedada, K. (2023). Digital readiness of small and medium enterprises in emerging markets: The construct, propositions, measurement, and implications. Journal of Business Research, 164, 113973. https://doi.org/10.1016/j.jbusres.2023.113973

QU Zheng. (2024). Digital Readiness and Digital Competences Influence on Information Management System: Organizational Support as Moderator. Profesional de La Información, 33(4). https://doi.org/10.3145/epi.2024.ene.0408

Rademaker, T., Klingenberg, I., & Süß, S. (2025). Leadership and technostress: a systematic literature review. Management Review Quarterly, 75(1), 429–494. https://doi.org/10.1007/s11301-023-00385-x

Rasool, T., Warraich, N. F., & Sajid, M. (2022). Examining the Impact of Technology Overload at the Workplace: A Systematic Review. Sage Open, 12(3). https://doi.org/10.1177/21582440221114320

Samsuden, N. S., Kohar, U. H. A., Khatib, S. F. A., & Abbas, A. F. (2024). Digital Capabilities and Business Performance: A Systematic Literature Review. Sustainability, 16(24), 11108. https://doi.org/10.3390/su162411108

Scheepers, L., Angerer, P., & Dragano, N. (2022). Digitalisation in Craft Enterprises: Perceived Technostress, Readiness for Prevention and Countermeasures—A Qualitative Study. International Journal of Environmental Research and Public Health, 19(18), 11349. https://doi.org/10.3390/ijerph191811349

Sekaran, U. (2021). Research Methods for Busniness. In The Encyclopedia of Research Methods in Criminology and Criminal Justice: Volume II: Parts 5-8.

Sharabati, A.-A. A., Ali, A. A. A., Allahham, M. I., Hussein, A. A., Alheet, A. F., & Mohammad, A. S. (2024). The Impact of Digital Marketing on the Performance of SMEs: An Analytical Study in Light of Modern Digital Transformations. Sustainability, 16(19), 8667. https://doi.org/10.3390/su16198667

Tarafdar, M., Cooper, C. L., & Stich, J. (2019). The technostress trifecta ? techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6–42. https://doi.org/10.1111/isj.12169

Trischler, M. F. G., & Li-Ying, J. (2022). Exploring the Relationship Between Multi Dimensional Digital Readiness and Digital Transformation Outcomes. International Journal of Innovation Management, 26(03). https://doi.org/10.1142/S136391962240014X

Upadhyaya, P., & Vrinda. (2021). Impact of technostress on academic productivity of university students. Education and Information Technologies, 26(2), 1647–1664. https://doi.org/10.1007/s10639-020-10319-9

Valta, M., Hildebrandt, Y., & Maier, C. (2024). Fostering the digital mindset to mitigate technostress: an empirical study of empowering individuals for using digital technologies. Internet Research, 34(6), 2341–2369. https://doi.org/10.1108/INTR-09-2022-0766

Wang, K., Shu, Q., & Tu, Q. (2008). Technostress under different organizational environments: An empirical investigation. Computers in Human Behavior, 24(6), 3002–3013. https://doi.org/10.1016/j.chb.2008.05.007

Wrede, S. J. S., Claassen, K., Rodil dos Anjos, D., Kettschau, J. P., & Broding, H. C. (2023). Impact of digital stress on negative emotions and physical complaints in the home office: a follow up study. Health Psychology and Behavioral Medicine, 11(1). https://doi.org/10.1080/21642850.2023.2263068

Xu, M., David, J. M., & Kim, S. H. (2018). The Fourth Industrial Revolution: Opportunities and Challenges. International Journal of Financial Research, 9(2), 90. https://doi.org/10.5430/ijfr.v9n2p90

DOI: https://doi.org/10.32535/ijafap.v9i3.4536