THE EFFECT OF CYBERLOAFING ON PERFORMANCE MODERATED BY WORK PROCEDURES AND SELF-CONTROL
Main Article Content
Rahmawati M. Hatala*
Anang Kistyanto
Andre Dwijanto Witjaksono
In today's digital era, cyberloafing which refers to surfing the web for personal reasons during work hours is a major workplace issue. A policy was put in place at XYZ Agency in July 2024 to control internet usage and curb cyberloafing. The policy is meant to boost productivity, but its impact is still uncertain. Even with the policy, some employees continue cyberloafing on personal internet connections, leading to concerns about its effect on their work performance and how self-control and work procedures play a role in this behavior. This study seeks to investigate the impact of cyberloafing on productivity, influenced by levels of self-discipline and workplace protocols. Employing a quantitative method, the research involved 100 participants from the XYZ Agency. Utilizing Smart PLS 3.0 software, the data was examined to ascertain connections between different factors. The results indicated that cyberloafing had a notable, albeit modest, positive effect on performance measures within this study, with a coefficient of 0.161. Workplace procedures, acting as a moderating element, were found to have a detrimental impact on the correlation between cyberloafing and employee productivity. However, self-control was not found to significantly alter or moderate the link between cyberloafing and job performance.
Adelina, N., & Saputro, H. B. (2023). Pengaruh Cyberloafing Terhadap Kinerja Karyawan Dengan Self Control Sebagai Variable Moderasi. Review of Applied Accounting Research (RAAR), 3(1), 85–99.
Armstrong, M. (2006). Performance management: Key strategies and practical guidelines. Kogan page.
Bagis, F., Nuraning, N., Suyoto, S., Ikhsani, M. M., & Darmawan, A. (2023). The influence of cyberloafing, self efficacy, and organizational culture on the performance of employees at regional revenue agency, banyumas district. International Journal of Economics, Business and Accounting Research (IJEBAR), 7(1).
Blanchard, A. L., & Henle, C. A. (2008). Correlates of different forms of cyberloafing: The role of norms and external locus of control. Computers in Human Behavior, 24(3), 1067–1084.
Brosschot, J. F., Benschop, R. J., Godaert, G. L., Olff, M., De Smet, M. B. M., Heijnen, C. J., & Ballieux, R. E. (1994). Influence of life stress on immunological reactivity to mild psychological stress. Psychosomatic Medicine, 56(3), 216–224.
Cahyaningrum, W., & Yulianti, A. E. (2022). Self Control, Motivation and Cyberloafing on the Performance of High School and Vocational School Employees in Tarakan during the COVID 19 Pandemic. Formosa Journal of Science and Technology, 1(7), 839–852.
Cooper, D. R., & Schindler, P. (2014). Business research methods. Mcgraw-hill.
Damayanti, A., Hayati, K., & Mardiana, N. (2022). Pengaruh Stres Kerja dan Perilaku Cyberloafing terhadap Kinerja Karyawan. e-Journal Ekonomi Bisnis dan Akuntansi, 9 (2), 56.
Duckworth, A. L., Gendler, T. S., & Gross, J. J. (2016). Situational strategies for self-control. Perspectives on Psychological Science, 11(1), 35–55.
Friese, M., & Hofmann, W. (2009). Control me or I will control you: Impulses, trait self-control, and the guidance of behavior. Journal of Research in Personality, 43(5), 795–805.
Ghozali, I. (2016). Multivariate analysis application with IBM SPSS 25 program. Semarang: Diponegoro University Publishing Agency, 4, 352.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., Ray, S., Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). Evaluation of reflective measurement models. Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook, 75–90.
Lim, V. K. G., & Teo, T. S. H. (2005). Prevalence, perceived seriousness, justification and regulation of cyberloafing in Singapore: An exploratory study. Information & Management, 42(8), 1081–1093.
Logue, A. W. (1988). Research on self-control: An integrating framework. Behavioral and Brain Sciences, 11(4), 665–679.
Mahsyar, J. H., Fatmasari, D., Pramesti, G. N. D. P., & Pratama, R. (2019). The Effect Of Cyberloafing And Organisational Commitment On Employee Performance With Self-Control As A Moderating Variable (Survey on Civil Servants of the Kuningan Regency Housing, Settlement and Land Office). Target, 2020, 2021.
Marsela, R. D., & Supriatna, M. (2019). Konsep diri: Definisi dan faktor. Journal of Innovative Counseling: Theory, Practice, and Research, 3(02), 65–69.
Masruroh, R., Budiman, A., Dodi, D., Komarudin, M. N., & Irawan, N. (2024). Self Control and Organizational Commitment Views of Cyberloafing Behavior. JURISMA: Jurnal Riset Bisnis & Manajemen, 14(1), 167–174.
Mintzberg, H. (1973). The nature of managerial work. Haper and Row.
Monica, I., & Maharani, A. (2020). The Effect of Cyberloafing on Employee Performance Through Job Satisfaction and Work Commitment. Jurnal Ilmiah Manajemen, 8(4), 491–502.
Oktapiansyah, H. (2018). Hubungan Antara Stres Kerja Dengan Perilaku Cyberloafing Pada Karyawan Bank.
Prasetya, A. S. E., Putra, R., & Sultan, F. M. M. (2023). Cyberloafing, work environment, and leadership on performance and job satisfaction of education personnel at sultan Syarif Kasim state Islamic university Riau. Journal of Applied Business and Technology, 4(1), 17–29.
Sarip, S., Saidin, Z. F., Kaidi, H. M., & Suhot, M. A. (2021). Manual material handling in an automotive testing department using work movement task analysis. International Journal of Advanced Technology and Engineering Exploration, 8(78), 619.
Sekaran, U. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
Sitorus, R. R., Nugrahaningsih, H., Yani, A. S., & Gunawan, G. U. (2019). Pengaruh komitmen organisasi dan cyberloafing terhadap kinerja karyawan yang dimoderasi oleh prosedur kerja (SOP). Media Manajemen Jasa, 7(2).
Sugiyono. (2015). Metode Penelitian Kuantitatif Kualitatifdan R&D. Alfabeta.
Sulistiyanto, B. (2022). Peran work generation sebagai variabel moderator hubungan antara job burnout dan komitmen organisasional terhadap kinerja karyawan.
Van Riel, A. C. R., Henseler, J., Kemény, I., & Sasovova, Z. (2017). Estimating hierarchical constructs using consistent partial least squares: The case of second-order composites of common factors. Industrial Management & Data Systems, 117(3), 459–477.
Zhong, J., Chen, Y., Yan, J., & Luo, J. (2022). The mixed blessing of cyberloafing on innovation performance during the COVID-19 pandemic. Computers in Human Behavior, 126, 106982.












