Peran Cyberloafing Terhadap Produktivitas Karyawan Dengan Kesehatan Mental Sebagai Pemediasi

Authors

  • Triyanti Triyanti Bina Nusantara University
  • Windharti Amelia Bina Nusantara University
  • Anita Maharani [Scopus ID: 57202744935], Bina Nusantara University
  • Thenry Linda Sharron Pandu Bina Nusantara University

DOI:

https://doi.org/10.32832/jm-uika.v13i3.7317

Keywords:

Cyberloafing, Mental, Health, Productivity

Abstract

This study aims to determine the effect of Cyberloafing and Productivity with Mental Health as a mediator. This research uses a quantitative approach method and the sample is taken using a random probability sampling technique with the population being employees of companies in Indonesia that carry out cyberloafing. Data collection was done online using google form and resulted in 193 responses that could be used. The results showed that all hypotheses were not supported, which means that cyberloafing had no effect on mental health and productivity. Further testing with Multi-Group Analysis (MGA) found that the characteristics of the respondents showed different results. In male respondents, cyberloafing had a positive effect on productivity. The respondents from service industry employee group also showed similar results, cyberloafing had a positive effect on productivity. Meanwhile, in respondents with married status showed that cyberloafing had a negative effect on mental health and productivity. These interesting findings from the test results on different characteristics of respondents can enrich studies on cyberloafing, mental health and employee productivity. The results obtained from this study are expected to provide benefits for company management in regulating internet use policies during working hours to ensure employee productivity is maintained.

References

Allen, P. (2004). For the employer productivity is critical. HealthcarePapers, 5(2), 95–97. https://doi.org/10.12927/hcpap..16828

Akbulut, Y., Dursun, í–. í–., Dönmez, O., & Åžahin, Y. L. (2016). In search of a measure to investigate cyberloafing in educational settings. Computers in Human Behavior, 55, 616–625. https://doi.org/10.1016/j.chb.2015.11.002

Bubonya, M., Cobb-Clark, D. A., & Wooden, M. (2017). Mental health and productivity at work: Does what you do matter? Labour Economics, 46, 150–165. doi:10.1016/j.labeco.2017.05.001

Burton, W. N., Schultz, A. B., Chen, C. Y., & Edington, D. W. (2008). The association of worker productivity and mental health: A review of the literature. International Journal of Workplace Health Management, 1(2), 78–94. https://doi.org/10.1108/17538350810893883

Coker, B. L. S. (2011). Freedom to surf: the positive effects of workplace Internet leisure browsing. New Technology, Work and Employment, 26(3), 238–247.

Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods aproaches/John W. Creswell.”3rd ed. California: SAGE.

Dhir, A., Kaur, P., & Rajala, R. (2018). Continued use of mobile instant messaging apps: A new perspective on theories of consumption, flow, and planned behavior. Social Science Computer Review, 1–23. https://doi.org/10.1177/0894439318806853

Eliot, I. (2016, June). Poverty and mental health: A review to inform the Joseph Rowntree foundtion's anti-poverty strategy. Mental Health Foundation.

Fox, A. (2007), "Caught in the web”, HR Magazine, Vol. 12 No. 12, pp. 35-39.

Fujimoto, Y., Ferdous, A. S., Sekiguchi, T., & Sugianto, L.-F. (2016). The effect of mobile technology usage on work engagement and emotional exhaustion in Japan. Journal of Business Research, 69(9), 3315–3323. doi:10.1016/j.jbusres.2016.02.013

Goetzel, R. Z., Hawkins, K., Ozminkowski, R. J., & Wang, S. (2003). The Health and Productivity Cost Burden of the "Top 10” Physical and Mental Health Conditions Affecting Six Large U.S. Employers in 1999. Journal of Occupational and Environmental Medicine, 45(1), 5–14. doi:10.1097/00043764-200301000-00007

Lim, V. K. G. (2002). The IT way of loafing on the job: Cyberloafing, neutralizing and organizational justice. Journal of Organizational Behavior, 23(5), 675–694. https://doi.org/10.1002/job.161

Lim, V. K. G., & Teo, T. S. H. (2005). Prevalence, perceived seriousness, justification and regulation of cyberloafing in Singapore: An exploratory study. Information and Management, 42(8), 1081–1093. https://doi.org/10.1016/j.im.2004.12.002

Lim, V. K. G., & Chen, D. J. Q. (2012). Cyberloafing at the workplace: Gain or drain on work? Behaviour and Information Technology, 31(4), 343–353. https://doi.org/10.1080/01449290903353054

McDonald-Miszczak, L., & Wister, A. v. (2005). Predicting self-care behaviors among older adults coping with arthritis: A cross-sectional and 1-year longitudinal comparative analysis. Journal of Aging and Health, 17(6), 836–857. https://doi.org/10.1177/0898264305280984

Nixon, A. E., Mazzola, J. J., Bauer, J., Krueger, J. R., & Spector, P. E. (2011). Can work make you sick? A meta-analysis of the relationships between job stressors and physical symptoms. Work & Stress, 25(1), 1–22. https://doi.org/10.1080/02678373.2011.569175

O'Neill, T. A., Hambley, L. A., & Bercovich, A. (2014). Prediction of cyberslacking when employees are working away from the office. Computers in Human Behavior, 34, 291–298. https://doi.org/10.1016/j.chb.2014.02.015

OECD. (2010). Expert Meeting Mental Health, Disability and Work, Paris, 26-28 April 2010. https://www.oecd.org/els/45008308.pdf

Saidin, S. S., Iskandar, Y. H. P., & Dahlan, N. (2017). The impact of cyberloafing towards malaysia employees' productivity: A conceptual framework. 2017 International Conference on Electrical Engineering and Informatics (ICELTICs 2017): "Advancing Knowledge, Research, and Technology for Humanity, 216-220.”

Sao, R., Chandak, S., Patel, B., & Bhadade, P. (2020). Cyberloafing: Effects on Employee Job Performance and Behavior. International Journal of Recent Technology and Engineering, 8(5), 1509–1515. https://doi.org/10.35940/ijrte.e4832.018520

Schultz, A. B., & Edington, D. W. (2007). Employee Health and Presenteeism: A Systematic Review. Journal of Occupational Rehabilitation, 17(3), 547–579. doi:10.1007/s10926-007-9096-x

Sekaran, U. & Bougie, R. (2016). Research Methods for Business: A Skill Building Approach 7th. United Kingdom: John Wiley & Sons Ltd.

Ten Brummelhuis, L. L., ter Hoeven, C. L., Bakker, A. B., & Peper, B. (2011). Breaking through the loss cycle of burnout: The role of motivation. Journal of Occupational and Organizational Psychology, 84(2), 268–287. https://doi.org/10.1111/j.2044-8325.2011.02019.x

Trotter, V. K., Lambert, M. J., Burlingame, G. M., Rees, F., Carpenter, B. N., Steffen, P. R., Jackson, A., & Eggett, D. (2009). Measuring work productivity with a mental health self-report measure. Journal of Occupational and Environmental Medicine, 51(6), 739–746. https://doi.org/10.1097/JOM.0b013e3181a83567

Taylor, A. (2007). Gambling at work costs employers £300M a year. In: Financial Times.

Weatherbee, T. G. (2010). Counterproductive use of technology at work: Information & communications technologies and cyberdeviancy. Human Resource Management Review, 20(1), 35–44. https://doi.org/10.1016/j.hrmr.2009.03.012

Wu, J., Mei, W., Liu, L., & Ugrin, J. C. (2020). The bright and dark sides of social cyberloafing: Effects on employee mental health in China. Journal of Business Research, 112 (February), 56–64. https://doi.org/10.1016/j.jbusres.2020.02.043

Downloads

Published

01-10-2022

How to Cite

Triyanti, T., Amelia, W., Maharani, A., & Pandu, T. L. S. (2022). Peran Cyberloafing Terhadap Produktivitas Karyawan Dengan Kesehatan Mental Sebagai Pemediasi. Jurnal Manajemen (Edisi Elektronik), 13(3), 353–364. https://doi.org/10.32832/jm-uika.v13i3.7317