Psychological Capital Mitigates the Negative Effects of Technostress on Employee Performance and Innovation in the Indian Construction Industry
Keywords:
Technostress, Job Performance, Psychological Capital, Innovative Work Behaviour, Construction Industry, Job Demands–Resources TheoryAbstract
The rapid adoption of digital technologies has improved efficiency in the construction industry while simultaneously increasing employees' exposure to technostress. This study examines the impact of technostress on job performance and innovative work behaviour, with psychological capital serving as a mediating mechanism among employees in the Indian construction sector. Grounded in the Job Demands–Resources (JD-R) theory, a quantitative cross-sectional survey was conducted with 350 construction professionals from medium and large organizations across India. Data were analysed using descriptive statistics, reliability analysis, correlation, multiple regression, and PROCESS mediation analysis. The findings reveal that technostress significantly reduces psychological capital, job performance, and innovative work behaviour. Psychological capital, comprising hope, resilience, optimism, and self-efficacy, positively influences both employee outcomes and partially mediates the adverse effects of technostress. The study highlights the importance of strengthening employees' psychological resources alongside digital transformation initiatives. These findings provide theoretical insights and practical guidance for improving workforce resilience, productivity, and innovation in technology-driven construction organizations.
References
Abbas, M., Raja, U., Darr, W., & Bouckenooghe, D. (2014). Combined effects of perceived politics and psychological capital on job satisfaction, turnover intentions, and performance. Journal of Management, 40(7), 1813–1830. https://doi.org/10.1177/0149206312455243
Avey, J. B., Reichard, R. J., Luthans, F., & Mhatre, K. H. (2011). Meta-analysis of the impact of positive psychological capital on employee attitudes, behaviors, and performance. Human Resource Development Quarterly, 22(2), 127–152. https://doi.org/10.1002/hrdq.20070
Bakker, A. B., & Demerouti, E. (2007). The Job Demands–Resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328. https://doi.org/10.1108/02683940710733115
Bakker, A. B., & Demerouti, E. (2017). Job Demands–Resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
Brod, C. (1984). Technostress: The human cost of the computer revolution. Addison-Wesley.
Campbell, J. P., & Wiernik, B. M. (2015). The modeling and assessment of work performance. Annual Review of Organizational Psychology and Organizational Behavior, 2, 47–74. https://doi.org/10.1146/annurev-orgpsych-032414-111427
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The Job Demands–Resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2022). Multivariate data analysis (9th ed.). Cengage Learning.
Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (3rd ed.). Guilford Press.
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524. https://doi.org/10.1037/0003-066X.44.3.513
Janssen, O. (2000). Job demands, perceptions of effort–reward fairness and innovative work behaviour. Journal of Occupational and Organizational Psychology, 73(3), 287–302. https://doi.org/10.1348/096317900167038
Karatepe, O. M., & Karadas, G. (2015). Do psychological capital and work engagement foster frontline employees’ satisfaction? International Journal of Contemporary Hospitality Management, 27(6), 1254–1278. https://doi.org/10.1108/IJCHM-01-2014-0028
Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., Schaufeli, W. B., De Vet, H. C. W., & Van der Beek, A. J. (2014). Improving the Individual Work Performance Questionnaire using Rasch analysis. Journal of Applied Measurement, 15(2), 160–175.
La Torre, G., Esposito, A., Sciarra, I., & Chiappetta, M. (2019). Definition, symptoms and risk of technostress: A systematic review. International Archives of Occupational and Environmental Health, 92(1), 13–35. https://doi.org/10.1007/s00420-018-1352-1
Luthans, F., Avolio, B. J., Avey, J. B., & Norman, S. M. (2007). Positive psychological capital: Measurement and relationship with performance and satisfaction. Personnel Psychology, 60(3), 541–572. https://doi.org/10.1111/j.1744-6570.2007.00083.x
Luthans, F., Youssef-Morgan, C. M., & Avolio, B. J. (2015). Psychological capital and beyond. Oxford University Press.
Mariani, M. M., & Wamba, S. F. (2020). Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies. Journal of Business Research, 121, 338–352. https://doi.org/10.1016/j.jbusres.2020.09.012
Masten, A. S. (2001). Ordinary magic: Resilience processes in development. American Psychologist, 56(3), 227–238. https://doi.org/10.1037/0003-066X.56.3.227
Montani, F., Vandenberghe, C., Khedhaouria, A., & Courcy, F. (2020). Examining the inverted U-shaped relationship between workload and innovative work behavior: The role of work engagement and mindfulness. Human Relations, 73(1), 59–93. https://doi.org/10.1177/0018726718819055
Newman, A., Ucbasaran, D., Zhu, F., & Hirst, G. (2014). Psychological capital: A review and synthesis. Journal of Organizational Behavior, 35(S1), S120–S138. https://doi.org/10.1002/job.1916
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/isre.1070.0165
Rego, A., Sousa, F., Marques, C., & Cunha, M. P. E. (2012). Authentic leadership promoting employees’ psychological capital and creativity. Journal of Business Research, 65(3), 429–437. https://doi.org/10.1016/j.jbusres.2011.10.003
Scheier, M. F., & Carver, C. S. (1985). Optimism, coping, and health: Assessment and implications of generalized outcome expectancies. Health Psychology, 4(3), 219–247. https://doi.org/10.1037/0278-6133.4.3.219
Snyder, C. R., Harris, C., Anderson, J. R., Holleran, S. A., Irving, L. M., Sigmon, S. T., Yoshinobu, L., Gibb, J., Langelle, C., & Harney, P. (1991). The will and the ways: Development and validation of an individual-differences measure of hope. Journal of Personality and Social Psychology, 60(4), 570–585. https://doi.org/10.1037/0022-3514.60.4.570
Sweetman, D., Luthans, F., Avey, J. B., & Luthans, B. C. (2011). Relationship between positive psychological capital and creative performance. Canadian Journal of Administrative Sciences, 28(1), 4–13. https://doi.org/10.1002/cjas.175
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328. https://doi.org/10.2753/MIS0742-1222240109
