Journal Press India^®

Author Details ( * ) denotes Corresponding author

The research focuses on assessing the dimensions of employees’ psychology on occupational stress and work performance of the employees working in IT sector. The data was collected from 261employees of various IT companies operating in Tiruvanthapuram, a southern Indian city. The collected through systematic random Psychology is the appropriate sampling, data were subjected to factor analysis to determine the dimensions of occupational stress and work performance based on the psychology of IT employees. The occupational stress factors deals with the dimensions of role ambiguity, technical deficiency and unsupportive management, insecurity due to layoffs and hectic work burden. Focus on fair Compensation, employees’ welfare policies, feedback mechanisms, perquisites, stress relaxation techniques and workplace facilities without discrimination will enhance performance. The role of occupational stress affects the efficacy of employees in the IT sector and hence management should focus on the factors of work performance in order to help the employees to overcome the occupational stress.

Keywords

Biased Evaluation; Employee Support; Occupational Stress; Wellbeing; Work Performance

1. Ahmed, A., Abu-Naser, S. S., El Talla, S. A. & Al Shobaki, M. J. (2018). The impact of information technology used on the nature of administrators work at Al-Azhar University in Gaza. International Journal of Academic Information Systems Research (IJAISR), 2(6), 1-20.
2. Blut, M. & Wang, C. (2020). Technology readiness: A meta-analysis of conceptualizations of the construct and its impact on technology usage. Journal of the Academy of Marketing Science, 48, 649-669.
3. Chen, M. (2019). The impact of expatriates’ cross-cultural adjustment on work stress and job involvement in the high-tech industry. Frontiersin Psychology, 10, 2228. Retrieved from DOI:10.3389/fpsyg.2019.02228
4. Diamantidis, A. D. & Chatzoglou, P. (2019). Factors affecting employee performance: An empirical approach. International Journal of Productivity and Performance Management, 68(1), 171-193.
5. Faheem, M., Shah, S. B. H., Butt, R. A., Raza, B., Anwar, M., Ashraf, M. W. & Gungor, V. C. (2018). Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges. Computer Science Review, 30, 1-30.
6. Gemeda, H. K. & Lee, J. (2020). Leadership styles, work engagement and outcomes among information and communications technology professionals: A cross-national study. Heliyon, 6(4). Retrieved from DOI:10.1016/j.heliyon.2020.e03699
7. Hwang, I. & Cha, O. (2018). Examining techno stress creators and role stress as potential threats to employees’ information security compliance. Computers in Human Behavior, 81, 282-293.
8. Karasek, R., Brisson, C., Kawakami, N., Houtman, I., Bongers, P. & Amick, B. (1998). The job content questionnaire (JCQ): An instrument for internationally comparative assessments of psychosocial job characteristics. Journal of Occupational Health Psychology, 3(4), 322.
9. Khakurel, J., Melkas, H. & Porras, J. (2018). Tapping into the wearable device revolution in the work environment: A systematic review. Information Technology & People, 31(3), 791-818.
10. La Torre, G., Esposito, A., Sciarra, I. & Chiappetta, M. (2019). Definition, symptoms and risk of techno-stress: A systematic review. International Archives of Occupational and Environmental Health, 92(4), 13-35.
11. Loan, L. (2020). The influence of organizational commitment on employees’ job performance: The mediating role of job satisfaction. Management Science Letters, 10(14), 3307-3312.
12. Marchiori, D. M., Mainardes, E. W. & Rodrigues, R. G. (2019). Do individual characteristics influence the types of techno stress reported by workers? International Journal of Human–Computer Interaction, 35(3), 218-230.
13. Molino, M., Cortese, C. G. & Ghislieri, C. (2020). The promotion of technology acceptance and work engagement in industry 4.0: From personal resources to information and training. International Journal of Environmental Research and Public Health, 17(7), 1-15.
14. Moqbel, M. & Kock, N. (2018). Unveiling the dark side of social networking sites: Personal and work-related consequences of social networking site addiction. Information & Management, 55(1), 109-119.
15. Moquin, R., Riemenschneider, K. C. & Wakefield, L. R. (2019). Psychological contract and turnover intention in the information technology profession. Information Systems Management, 36(2), 111-125.
16. Pitt, A., Oprescu, F., Tapia, G. & Gray, M. (2018). An exploratory study of students’ weekly stress levels and sources of stress during the semester. Active Learning in Higher Education, 19(1), 61-75.
17. Prasad, K. D. V., Vaidya, R. & Rani, R. (2023). Remote working and occupational stress: Effects on IT-enabled industry employees in Hyderabad Metro, India. Frontiers in Psychology,14, 1-14.
18. Saeidi, P., Saeidi, S. P., Sofian, S., Saeidi, S. P., Nilashi, M. & Mardani, A. (2019). The impact of enterprise risk management on competitive advantage by moderating role of information technology. Computer Standards & Interfaces, 63, 67-82.
19. Siegrist, J. & Li, J. (2016). Associations of extrinsic and intrinsic components of work stress with health: A systematic review of evidence on the effort-reward imbalance model. International Journal of Environmental Research and Public Health, 13(4), 432.
20. Tallon, P. P., Queiroz, M., Coltman, T. & Sharma, R. (2019). Information technology and the search for organizational agility: A systematic review with future research possibilities. The Journal of Strategic Information Systems, 28(2), 218-237.
21. Lippe, T. & Lippényi, Z. (2020). Co‐workers working from home and individual and team performance. New Technology, Work and Employment, 35(1), 60-79.
22. Yu, L., Cao, X., Liu, Z. & Wang, J. (2018). Excessive social media use at work: Exploring the effects of social media overload on job performance. Information Technology & People, 31(6), 1091-1112.
23. Zhang, Y., Luo, Y., Zhang, X. & Zhao, J. (2019). How green human resource management can promote green employee behavior in China: A technology acceptance model perspective. Sustainability, 11(19), 5408.