The Effect of Technostress on Turnover Intention with Burnout as a Mediation in Gen Z in the City of Surabaya
DOI:
https://doi.org/10.62951/ijbmir.v3i1.181Keywords:
Burnout, Generation Z, Mediation, Technostress, Turnover IntentionAbstract
Using burnout as a mediating variable, this study looks at how technostress affects turnover intention among Gen Z workers in Surabaya. Based on the city's rapid digitization and widespread internet access, the study examines how technological advances can boost productivity and create difficulties associated with technology use. Technostress is defined as an unpleasant psychological state that results from a person's inability to adapt to the demands and advances of technology. Burnout, a condition of physical, emotional, and mental exhaustion brought on by ongoing job stress, is said to be the result of this strain for Gen Z, often known as "digital natives," who grew up with technology. Burnout can afterward result in the urge to quit. This study used a causal research design and a quantitative approach. An online survey was used to collect data, and Gen Z respondents in Surabaya were presented based on predetermined criteria, such as age and intention to utilize technology for employment. Data analysis tests the direct and indirect correlations between variables using structural equation modeling (SEM) based on Smart-PLS. The study's findings showed that technostress greatly reduces burnout. Additionally, it has been demonstrated that burnout greatly increases the intention to leave. The association between technostress and turnover intention is totally mediated by burnout, according to key findings, which means that increasing burnout fully explains how technostress affects turnover intention. The study's findings highlight the significance of organizational policies that go beyond limiting digital exposure to address burnout, particularly among Gen Z. In order to better understand the causal link and context of Gen Z's experience with technostress and burnout in an increasingly digital workplace, it is suggested that future studies employ a longitudinal gradual approach or a combination of qualitative and quantitative methodologies.
References
Agustina, R., Nur’aini, S., Nazla, L., Hanapiah, S., & Marlina, L. (2023). Era digital: Tantangan dan peluang dalam dunia kerja. Journal of Economics and Business, 1(1), 1–8. https://doi.org/10.61994/econis.v1i1.138
Aktan, O., & Toraman, Ç. (2022). The relationship between technostress levels and job satisfaction of teachers within the COVID-19 period. Education and Information Technologies, 27(7), 10429–10453. https://doi.org/10.1007/s10639-022-11027-2
APJII. (2024). Survei penetrasi internet Indonesia 2024. APJII. https://survei.apjii.or.id/survei/group/9
Bagaskara, D., Laire, C., Christiana, M., & Kalis, I. (2024). The influence of artificial intelligence and information communication technology on employee mental health with technostress as mediation in Generation Z employees in West Kalimantan. Economics and Business, 7(2). https://doi.org/10.32877/eb.v7i2.1781
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, Article 1173425. https://doi.org/10.3389/fpsyg.2023.1173425
Bao, Y., Zhang, X., & Hua, M. (2025). Relating technostress and turnover intention: A three-wave study. Journal of Computer Information Systems, 65(5), 610–621. https://doi.org/10.1080/08874417.2024.2316638
Barage, P., & Sudarusman, E. (2022). Pengaruh work–life balance, stres kerja, dan kepuasan kerja terhadap turnover intention. Wiley Encyclopedia of Management, 3(1), 1–4. https://doi.org/10.1002/9781118785317.weom050079
Begum, A., Hashim, R. A., & Md. Som, H. (2024). Influence of technostress and mentorship on turnover intentions: The role of job satisfaction. Journal of Tourism, Hospitality and Environment Management, 9(38), 132–147. https://doi.org/10.35631/jthem.938010
Bencsik, A., & Juhasz, T. (2023). The impact of technostress on organizational functioning. Problems and Perspectives in Management, 21(1), 230–241. https://doi.org/10.21511/ppm.21(1).2023.20
Brady, K. J. S., Ni, P., Sheldrick, R. C., Trockel, M. T., Shanafelt, T. D., Rowe, S. G., Schneider, J. I., & Kazis, L. E. (2020). Describing burnout symptoms associated with Maslach Burnout Inventory subscale scores. Journal of Patient-Reported Outcomes, 4(1). https://doi.org/10.1186/s41687-020-00204-x
Califf, C. B., & Brooks, S. (2020). An empirical study of techno-stressors, burnout, and turnover intention. Computers & Education, 157, 103971. https://doi.org/10.1016/j.compedu.2020.103971
Dhaouadi, A., Khedhaouria, A., & Boulila, N. (2024). Adverse consequences of technostress on turnover intentions among auditors. Journal of Accounting and Management Information Systems, 23(3). https://doi.org/10.24818/jamis.2024.03005
Dolot, A. (2018). The characteristics of Generation Z. E-Mentor, 2(2), 44–50.
Ferdinan, B. A. (2025). The moderating role of transformational leadership in managing turnover intention among Generation Z employees in Surabaya. Journal of Community Development in Asia, 8(2), 213–232. https://doi.org/10.32535/jcda.v8i2.3895
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables. Journal of Marketing Research, 18(1), 39–50.
Galvin, J., Evans, M. S., Nelson, K., et al. (2022). Technostress, coping, and anxiety during COVID-19. Europe’s Journal of Psychology, 18(3), 302–318. https://doi.org/10.5964/ejop.4725
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM). Sage.
Hamimi, N., & Indryawati, R. (2025). Pengaruh job insecurity dan burnout terhadap turnover intention pada generasi Z. JIIP, 8(6), 6838–6848. https://doi.org/10.54371/jiip.v8i6.8115
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for discriminant validity. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Ibrahim, I. D. K., Asmony, T., & Nurmayanti, S. (2017). Pengaruh stres kerja terhadap turnover intention yang dimediasi burnout. JMM Unram, 6(2), 1–16. https://doi.org/10.29303/jmm.v6i2.103
Kim, D. G., & Lee, C. W. (2021). Self-efficacy and technical support in technostress. Sustainability, 13(8). https://doi.org/10.3390/su13084349
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer.
Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout. Journal of Organizational Behavior, 2(2), 99–113. https://doi.org/10.1002/job.4030020205
Puspita, D. D., & Zamralita, Z. (2023). Peran burnout sebagai mediator stres digital. Jurnal Muara Ilmu Sosial, 7(3), 482–489. https://doi.org/10.24912/jmishumsen.v7i3.25674.2023
Sharma, I., & Tiwari, V. (2023). Techno-stress, burnout, and turnover intention. Global Business and Organizational Excellence. https://doi.org/10.1002/joe.22206
Wibowo, F., Sosilowati, E., & Setiyawan, A. A. (2024). Fenomena turnover intention pada generasi Z. Journal of Management and Digital Business, 4(2), 313–325. https://doi.org/10.53088/jmdb.v4i2.1120
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