The Effects of Technology Acceptance and Digital Lifestyle on Work Engagement and Employee Deviant Behaviors: The Mediating Roles of Organizational Commitment and Innovative Work Behavior
Downloads
Objective: This study aimed to test a structural equation model linking technology acceptance and digital lifestyle to work engagement and employee deviant behaviors, with organizational commitment and innovative work behavior as mediating variables.
Methods and Materials: A quantitative cross-sectional descriptive-correlational design was used. The population included faculty members and administrative employees of Islamic Azad University branches in Semnan Province, Iran, in 2024. A total of 300 participants were selected through simple random sampling. Data were collected using standardized self-report measures of technology acceptance, digital lifestyle, work engagement, organizational deviance, organizational commitment, and innovative work behavior. Data were analyzed using Pearson correlation in SPSS 22 and structural equation modeling with bootstrap analysis in AMOS 22.
Findings: The final model showed good fit: χ²/df = 1.81, GFI = .94, AGFI = .91, CFI = .97, TLI = .96, IFI = .97, NFI = .93, RMSEA = .052, and SRMR = .045. Technology acceptance positively predicted work engagement (β = .24), organizational commitment (β = .39), and innovative work behavior (β = .35), and negatively predicted employee deviance (β = −.18). Digital lifestyle positively predicted work engagement (β = .19), organizational commitment (β = .31), and innovative work behavior (β = .37), and negatively predicted deviance (β = −.14). The model explained 42% of organizational commitment, 55% of innovative work behavior, 62% of work engagement, and 49% of employee deviance. Bootstrap results confirmed significant indirect effects.
Conclusion: Technology acceptance and digital lifestyle were associated with higher work engagement and lower workplace deviance through organizational commitment and innovative work behavior.
Downloads
Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238–256. https://doi.org/10.1016/j.chb.2015.11.036
AlEssa, H. S., & Durugbo, C. M. (2022). Systematic review of innovative work behavior concepts and contributions. Management Review Quarterly, 72(4), 1171–1208. https://doi.org/10.1007/s11301-021-00224-x
Arshad, M. (2020). Workplace deviance: A systematic literature review and future agenda. Academy of Management Proceedings, 2020(1), 12473. https://doi.org/10.5465/AMBPP.2020.12473abstract
Bakker, A. B., & Demerouti, E. (2017). Job demands-resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. I. (2023). Job demands-resources theory: Ten years later. Annual Review of Organizational Psychology and Organizational Behavior, 10, 25–53. https://doi.org/10.1146/annurev-orgpsych-120920-053933
Bennett, R. J., & Robinson, S. L. (2000). Development of a measure of workplace deviance. Journal of Applied Psychology, 85(3), 349–360. https://doi.org/10.1037/0021-9010.85.3.349
Braojos, J., Weritz, P., & Matute, J. (2024). Empowering organisational commitment through digital transformation capabilities: The role of digital leadership and a continuous learning environment. Information Systems Journal, 34(5), 1466–1492. https://doi.org/10.1111/isj.12501
Bujang, M. A. B., Kamaluddin, M. R., Mat Basir, S., Munusamy, S., & Jiow, J. H. (2024). Impacts of workplace culture on deviant workplace behavior: A systematic review. SAGE Open, 14(2), 1–20. https://doi.org/10.1177/21582440241247976
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
De Jong, J. P. J., & Den Hartog, D. N. (2010). Measuring innovative work behaviour. Creativity and Innovation Management, 19(1), 23–36. https://doi.org/10.1111/j.1467-8691.2010.00547.x
Dunn, H. S., Ragnedda, M., Ruiu, M. L., & Robinson, L. (Eds.) (2024). The Palgrave handbook of everyday digital life. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-30438-5
Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692–724. https://doi.org/10.2307/256287
Karnaji, & Subiyantoro, H. (2026). Compensation, creativity, job engagement, and job performance in the construction industry: The moderating role of labor skill status. International Journal of Body, Mind and Culture, 13(6), Article e2026–1307. https://doi.org/10.61838/ijbmc.v13i6.1307
Khademian, T., & Hosseini, E. S. (2015). Examination of the digital lifestyle of Iranian families and its influencing factors: A study of households in Tehran. International Conference on Humanities, Psychology and Social Sciences, 1–21. [In Persian]. https://3hpsconf.com/
Marsh, E., Perez-Vallejos, E., & Spence, A. (2022). The digital workplace and its dark side: An integrative review. Computers in Human Behavior, 128, 107118. https://doi.org/10.1016/j.chb.2021.107118
Meyer, J. P., & Allen, N. J. (1991). A three-component conceptualization of organizational commitment. Human Resource Management Review, 1(1), 61–89. https://doi.org/10.1016/1053-4822(91)90011-Z
Meyer, J. P., Stanley, D. J., Herscovitch, L., & Topolnytsky, L. (2002). Affective, continuance, and normative commitment to the organization: A meta-analysis of antecedents, correlates, and consequences. Journal of Vocational Behavior, 61(1), 20–52. https://doi.org/10.1006/jvbe.2001.1842
Mondo, M., Pileri, J., Barbieri, B., Bellini, D., & De Simone, S. (2023). The role of techno-stress and psychological detachment in the relationship between workload and well-being in a sample of Italian smart workers: A moderated mediated model. Social Sciences, 12(10), 530. https://doi.org/10.3390/socsci12100530
Retnowati, E., Kistyanto, A., & Wardoyo, D. T. W. (2026). Ethical leadership and organizational culture as predictors of employee performance: The mediating role of organizational commitment companies in East Java, Indonesia. International Journal of Body, Mind and Culture, 13(5), Article e2026–1405. https://doi.org/10.61838/ijbmc.v13i5.1405
Schaufeli, W. B. (2017). Applying the job demands-resources model: A “how to” guide to measuring and tackling work engagement and burnout. Organizational Dynamics, 46(2), 120–132. https://doi.org/10.1016/j.orgdyn.2017.04.008
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
Scholze, A., & Hecker, A. (2024). The job demands-resources model as a theoretical lens for the bright and dark side of digitization. Computers in Human Behavior, 155, 108177. https://doi.org/10.1016/j.chb.2024.108177
Schuberth, F., Henseler, J., & Sarstedt, M. (2023). Choosing between PLS and CB-SEM: A tutorial with guidelines for reporting and assessing results. Technological Forecasting and Social Change, 194, 122622. https://doi.org/10.1016/j.techfore.2023.122622
Srirahayu, D. P., Ekowati, D., & Sridadi, A. R. (2023). Innovative work behavior in public organizations: A systematic literature review. Heliyon, 9(2), e13557. https://doi.org/10.1016/j.heliyon.2023.e13557
Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2021). Consumer acceptance and use of information technology: A meta-analytic evaluation of UTAUT and extensions. Information Systems Frontiers, 23(4), 987–1005. https://doi.org/10.1007/s10796-020-10007-6
Thomas, A. (2024). Digitally transforming the organization through knowledge management: A socio-technical system (STS) perspective. European Journal of Innovation Management, 27(9), 437–460. https://doi.org/10.1108/EJIM-02-2024-0114
Tian, X., & Guo, Y. (2023). The effect of deviant workplace behavior on job performance: The mediating role of organizational shame and moderating role of perceived organizational support. Behavioral Sciences, 13(7), 561. https://doi.org/10.3390/bs13070561
Ullrich, A., Reissig, M., Niehoff, S., & Beier, G. (2023). Employee involvement and participation in digital transformation: A combined analysis of literature and practitioners’ expertise. Journal of Organizational Change Management, 36(8), 29–48. https://doi.org/10.1108/JOCM-10-2022-0302
Copyright (c) 2025 International Journal of Body, Mind and Culture

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.








