The Influence Of Digital Culture On Job Satisfaction With Self-Reward As A Moderating Variable

Tri Cicik; Erna Kusumawati; Verismawaty Verismawaty; Angga Nugraha; Hertya Andriani

doi:10.62976/ierj.v4i2.2027

Authors

Tri Cicik Universitas Gajayana Malang
Erna Kusumawati Universitas Bina Bangsa
Verismawaty Verismawaty Institut Kesehatan dan Bisnis St. Fatimah Mamuju
Angga Nugraha Politeknik Piksi Input Serang
Hertya Andriani Institut Maritim Prasetiya Mandiri

DOI:

https://doi.org/10.62976/ierj.v4i2.2027

Keywords:

Digital Culture, Job Satisfaction, Self-Reward, Moderating Variable, Human Resource Management

Abstract

The massive digital transformation in the Industry4.0 and Society 5.0 eras has fundamentally changed the global work landscape, requiring organizations to adopt a digital culture to maintain competitive advantage. This study aims to examine and analyze the influence of digital culture on employee job satisfaction and evaluate the role of self-reward as a moderating variable that strengthens or weakens this relationship. This research approach uses an explanatory quantitative method based on empirical research in the creative industry and modern technology sectors. Data collection was carried out through a structured questionnaire measured on a five-point Likert scale. Data analysis was tested using the Structural Equation Modeling method based on Partial Least Squares (SEM-PLS). The test results indicate that digital culture has a positive and significant effect on job satisfaction. Furthermore, the self-reward variable is proven to significantly act as a pure moderator that strengthens the positive influence of digital culture on employee job satisfaction levels. These findings provide a theoretical contribution to the literature on Human Resource Management (HRM) and organizational behavior by integrating the concept of self -reward in the dynamics of digital work. Practically, organizational leaders are advised to not only focus on providing technological infrastructure, but also on building a culture of self-appreciation and a work ecosystem that supports employee mental well-being.

References

Al-Syaibani, A., Rahman, M., & Hassan, S. (2023). Digital culture and organizational performance: The mediating role of employee engagement. Journal of Business Research, 156, 113–125.https://doi.org/10.1016/j.jbusres.2022.113125

Ammirato, S., Felicetti, A. M., Raso, C., & Corso, M. (2023). Digital culture and employee well-being in smart working scenarios: An empirical investigation. Computers in Human Behavior, 138, 107480.https://doi.org/10.1016/j.chb.2022.107480

Bandura, A. (1997). Self-efficacy: The exercise of control. WH Freeman and Company.

Deci, E.L., & Ryan, R.M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268.https://doi.org/10.1207/S15327965PLI1104_01

Deci, E.L., Olafsen, A.H., & Ryan, R.M. (2017). Self-determination theory in work organizations: The state of a science. Annual Review of Organizational Psychology and Organizational Behavior, 4(1), 19–43.https://doi.org/10.1146/annurev-orgpsych-032516-113108

Duerr, S., Holotiuk, F., Wagner, H. T., Beimborn, D., & Weitzel, T. (2018). What is digital culture? A surface and deep structure analysis. Proceedings of the 51st Hawaii International Conference on System Sciences, 5067–5076.

Eisenberger, R., Rockstuhl, T., & Aselage, J. (2019). Reward and creativity: The crucial role of performance-reward expectancy. Journal of Organizational Behavior, 40(2), 211–225.https://doi.org/10.1002/job.2321

Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.

Johns, G. (2018). Advances in the treatment of context in organizational behavior. Annual Review of Organizational Psychology and Organizational Behavior, 5(1), 21–46.https://doi.org/10.1146/annurev-orgpsych-032117-104406

Kane, G.C., Phillips, A.N., Copulsky, J.R., & Andrus, G.R. (2019). The technology fallacy: How people are the real key to digital transformation. MIT Press.

Kooij, D.T., Zacher, H., Jansen, P.G., & Bakker, A.B. (2020). Job crafting and self-regulation in times of technological change. Journal of Vocational Behavior, 119, 103421.https://doi.org/10.1016/j.jvb.2020.103421

Luthans, F., Youssef-Morgan, C.M., & Avolio, B.J. (2021). Psychological capital and beyond (2nd ed.). Oxford University Press.

Martinez-Caro, E., Cegarra-Navarro, J. G., & Alfonso-Ruiz, F. J. (2020). Digital technologies and firm performance: The role of digital culture. Technological Forecasting and Social Change, 154, 119962.https://doi.org/10.1016/j.techfore.2020.119962

Mitchell, R., Boyle, B., & Nicholas, S. (2021). Managing the dark side of digital work: Self-leadership as a key resource. Human Resource Management Review, 31(4), 100789.https://doi.org/10.1016/j.hrmr.2020.100789

Neck, C. P., & Manz, C. C. (2018). Mastering self-leadership: Empowering yourself for personal excellence (7th ed.). Pearson.

Niu, X., Zhang, Y., & Liu, X. (2023). How digital work environment triggers job satisfaction: The moderating role of self-regulatory focus. Information & Management, 60(2), 103741.https://doi.org/10.1016/j.im.2022.103741

Parker, S. K., Knight, C., & Keller, A. (2020). Remote workers need support, not micromanagement. Harvard Business Review, 98(4), 6–11.

Peng, J., Li, M., Wang, Z., & Lin, Y. (2021). Transformational leadership and job satisfaction in the digital age: A moderated mediation model. Computers in Human Behavior, 116, 106640.https://doi.org/10.1016/j.chb.2020.106640

Ryan, R.M., & Deci, E.L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860.https://doi.org/10.1016/j.cedpsych.2020.101860

Saks, A. M. (2019). Antecedents and consequences of employee engagement revisited. Journal of Organizational Effectiveness: People and Performance, 6(1), 19–38.https://doi.org/10.1108/JOEPP-06-2018-0034

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2020). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of market research (pp. 1–40). Springer.https://doi.org/10.1007/978-3-319-05542-8_15-2

Sartori, R., Costantini, A., & Ceschi, A. (2022). Psychological resources for digital transformation: The role of self-regulation and adaptability. European Journal of Work and Organizational Psychology, 31(3), 345–358.https://doi.org/10.1080/1359432X.2021.1984210

Spector, P. E. (2021). Job satisfaction: From assessment to intervention. Routledge.

Stich, J.F. (2020). A review of workplace e-mail research: A technostress perspective. Organization Management Journal, 17(2), 83–102.https://doi.org/10.1108/OMJ-07-2019-0775

Tarafdar, M., Cooper, C.L., & Stich, J.F. (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

Teng, X., Wu, Z., & Yang, F. (2022). Research on the relationship between digital transformation and employee job satisfaction. Frontiers in Psychology, 13, 912831.https://doi.org/10.3389/fpsyg.2022.912831