THE IMPACT OF COVID-19 ON IT EMPLOYEES’ JOB PERFORMANCE – A COMPARATIVE ANALYSIS
DOI:
https://doi.org/10.12955/peb.v3.290Keywords:
COVID-19, IT employees, comparative analysis, job performanceAbstract
The research paper examines how the job performance of IT employees changed during the pandemic when remote work was the predominant mode of operation for more than a year. The study also investigates how the different aspects of job performance have evolved during the research. Quantitative data was collected through a longitudinal survey conducted in 2019 and then repeated in 2021. In the first phase, the sample consisted of 126 international respondents working in over 25 different IT companies, while in the second phase, 149 respondents from over 60 different organizations were covered. The data for the study has been analysed by using one-dimensional mean value comparison, correlation, and regression analysis. In the first phase of the survey conducted before the pandemic, quality of work, effectiveness, and value-added performance have the strongest influence on job performance, at the same time employees’ productivity and proactiveness did not show a direct impact on their overall performance. In the second phase of the study conducted in the summer of 2021, the results show that employees’ perception of their value-added performance to the organization no longer impacts their overall performance. Additionally, during the pandemic, a downward trend was observed in all the elements of job performance, with the most significant decrease in employees’ overall performance, quality of work, and effectiveness. The results of the study can be compelling to different levels of the organisations, as good job performance of employees is significant for the performance results of teams, business units, and organisations. Understanding employees’ job performance, its elements, and how it changes over time, especially during the pandemic, can help organisations thrive and develop a more productive workforce.
References
Adamovic, M. (2022). How does employee cultural background influence the effects of telework on job stress? The roles of power distance, individualism, and beliefs about telework. International Journal of Information Management, 62. https://doi.org/10.1016/j.ijinfomgt.2021.102437
Bakkal, E., Serener, B., & Myrvang, N. A. (2019). Toxic leadership and turnover intention: Mediating role of job satisfaction. Revista de Cercetare Si Interventie Sociala, 66. https://doi.org/10.33788/rcis.66.6
Camacho, S., & Barrios, A. (2022). Teleworking and technostress: early consequences of a COVID-19 lockdown. Cognition, Technology and Work, 1, 1–17. https://doi.org/10.1007/S10111-022-00693-4/TABLES/4
Carroll, N., & Conboy, K. (2020). Normalising the “new normal”: Changing tech-driven work practices under pandemic time pressure. International Journal of Information Management, 55. https://doi.org/10.1016/j.ijinfomgt.2020.102186
Chang, Y., Chien, C., & Shen, L. F. (2021). Telecommuting during the coronavirus pandemic: Future time orientation as a mediator between proactive coping and perceived work productivity in two cultural samples. Personality and Individual Differences, 171. https://doi.org/10.1016/j.paid.2020.110508
Cohen, S. G., Ledford, G. E., & Spreitzer, G. M. (1996). A predictive model of self-managing work team effectiveness. Human Relations, 49(5), 643–676. https://doi.org/10.1177/001872679604900506
Denisi, A. S., & Murphy, K. R. (2017). Performance appraisal and performance management: 100 years of progress? Journal of Applied Psychology, 102(3). https://doi.org/10.1037/apl0000085
Edwards, B. D., Bell, S. T., Arthur, W., & Decuir, A. D. (2008). Relationships between facets of job satisfaction and task and contextual performance. Applied Psychology, 57(3). https://doi.org/10.1111/j.1464-0597.2008.00328.x
Evans, A. M., Meyers, M. C., de Calseyde, P. P. F. M. V., & Stavrova, O. (2021). Extroversion and conscientiousness predict deteriorating job outcomes during the COVID-19 transition to enforced remote work. Social Psychological and Personality Science, 13(3), 781–791. https://doi.org/10.1177/19485506211039092
Giauque, D., Renard, K., Cornu, F., & Emery, Y. (2022). Engagement, exhaustion, and perceived performance of public employees before and during the COVID-19 crisis. Public Personnel Management. https://doi.org/10.1177/00910260211073154
Graves, L. M., & Karabayeva, A. (2020). Managing virtual workers - Strategies for success. IEEE Engineering Management Review, 48(2), 166–172. https://doi.org/10.1109/EMR.2020.2990386
Harter, J. K., Schmidt, F. L., & Hayes, T. L. (2002). Business-unit-level relationship between employee satisfaction, employee engagement, and business outcomes: A meta-analysis. Journal of Applied Psychology, 87(2). https://doi.org/10.1037/0021-9010.87.2.268
Judge, T. A., Bono, J. E., Thoresen, C. J., & Patton, G. K. (2001). The job satisfaction-job performance relationship: A qualitative and quantitative review. Psychological Bulletin, 127(3). https://doi.org/10.1037//0033-2909.127.3.376
Judge, T. A., & Kammeyer-Mueller, J. D. (2012). General and specific measures in organizational behavior research: Considerations, examples, and recommendations for researchers. Journal of Organizational Behavior, 33(2). https://doi.org/10.1002/job.764
Ko, E. J., Kim, A. H., & Kim, S. S. (2021). Toward the understanding of the appropriation of ICT-based Smart-work and its impact on performance in organizations. Technological Forecasting and Social Change, 171. https://doi.org/10.1016/j.techfore.2021.120994
Kramer, A., & Kramer, K. Z. (2020). The potential impact of the Covid-19 pandemic on occupational status, work from home, and occupational mobility. Journal of Vocational Behavior, 119, 103442. https://doi.org/10.1016/J.JVB.2020.103442
Kumar, P., Kumar, N., Aggarwal, P., & Yeap, J. A. L. (2021). Working in lockdown: the relationship between COVID-19 induced work stressors, job performance, distress, and life satisfaction. Current Psychology, 40(12). https://doi.org/10.1007/s12144-021-01567-0
Liu, L., Wan, W., & Fan, Q. (2021). How and when telework improves job performance during COVID-19? Job crafting as mediator and performance goal orientation as moderator. Psychology Research and Behavior Management, 14, 2181–2195. https://doi.org/10.2147/PRBM.S340322
Narayanamurthy, G., & Tortorella, G. (2021). Impact of COVID-19 outbreak on employee performance – Moderating role of industry 4.0 base technologies. International Journal of Production Economics, 234. https://doi.org/10.1016/J.IJPE.2021.108075
Ogbuanya, T. C., & Chukwuedo, S. O. (2017). Job crafting-satisfaction relationship in electrical/electronic technology education programme: Do work engagement and commitment matter? Revista de Psicología Del Trabajo y de Las Organizaciones, 33(3). https://doi.org/10.1016/j.rpto.2017.09.003
Onubi, H. O., Yusof, N., Hassan, A. S., & Bahdad, A. A. S. (2021). Forecasting the schedule performance resulting from the adoption of social distancing in construction projects. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-07-2021-0632
Ramos-Villagrasa, P. J., Barrada, J. R., Fernández-Del-Río, E., & Koopmans, L. (2019). Assessing job performance using brief self-report scales: The case of the individual work performance questionnaire. Revista de Psicologia Del Trabajo y de Las Organizaciones, 35(3), 195–205. https://doi.org/10.5093/jwop2019a21
Sackett, P. R., & Lievens, F. (2008). Personnel selection. In Annual Review of Psychology, 59. https://doi.org/10.1146/annurev.psych.59.103006.093716
Sarfraz, M., Ivascu, L., Khawaja, K. F., Vevera, A. V., & Dragan, F. (2021). ICT revolution from traditional office to virtual office: A study on teleworking during the COVID-19 pandemic. Studies in Informatics and Control, 30(4), 77–86. https://doi.org/10.24846/V30I4Y202107
Taba, M. I. (2018). Mediating effect of work performance and organizational commitment in the relationship between reward system and employees’ work satisfaction. Journal of Management Development, 37(1). https://doi.org/10.1108/JMD-11-2016-0256
Tønnessen, Ø., Dhir, A., & Flåten, B. T. (2021). Digital knowledge sharing and creative performance: Work from home during the COVID-19 pandemic. Technological Forecasting and Social Change, 170. https://doi.org/10.1016/j.techfore.2021.120866
Toscano, F., & Zappalà, S. (2021). Overall Job performance, remote work engagement, living with children, and remote work productivity during the COVID-19 pandemic: A mediated moderation model. European Journal of Psychology Open, 80(3), 133–142. https://doi.org/10.1024/2673-8627/a000015
Wakaizumi, K., Yamada, K., Shimazu, A., & Tabuchi, T. (2021). Sitting for long periods is associated with impaired work performance during the COVID-19 pandemic. Journal of Occupational Health, 63(1). https://doi.org/10.1002/1348-9585.12258
Yanchovska, I. (2021). The relationship between job satisfaction and individual performance of IT employees. Proceedings of CBU in Economics and Business, 2. https://doi.org/10.12955/peb.v2.267
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