The Influence of Job Stress, Psychological Resilience, and Job Resources on Job Performance among University Administrative Staff in Guangdong Province

Authors

  • Li Chunmeii KWisma Lincoln, No. 12, 14, 16 & 18, Jalan SS 6/12, 47301 Petaling Jaya, Selangor Darul Ehsan, Malaysia
  • Lim Seong Pek KWisma Lincoln, No. 12, 14, 16 & 18, Jalan SS 6/12, 47301 Petaling Jaya, Selangor Darul Ehsan, Malaysia

DOI:

https://doi.org/10.53797/ujssh.v5i1.13.2026

Keywords:

Job Stress, Job Performance, Psychological Resilience, Job Resources, University Administrative Staff, JD-R Model, Higher Education

Abstract

In the wake of rapid higher education expansion and the "Double First-Class" initiative in China, university administrative staff in Guangdong Province face unprecedented workloads and bureaucratic demands. Despite their critical role in institutional operations, their occupational well-being remains underexplored compared to academic faculty. Drawing upon the Job Demands-Resources (JD-R) model and the Conservation of Resources (COR) theory, this study investigates the direct impact of job stress on job performance, as well as the independent and moderating effects of psychological resilience (internal resource) and job resources (external resource). A quantitative, cross-sectional survey design was employed. Data were collected from 385 full-time administrative staff across various universities in Guangdong Province. Hypotheses were tested using hierarchical multiple regression analysis, with careful ex-ante and ex-post controls for Common Method Bias. The findings reveal that job stress significantly and negatively predicts job performance (β = -0.285, p < 0.001). Conversely, both psychological resilience (β = 0.310, p < 0.001) and job resources (β = 0.385, p < 0.001) positively influence performance. Crucially, the moderation analysis demonstrates that both psychological resilience and job resources significantly buffer the detrimental effects of job stress on performance. The study concludes that while administrative job stress is inevitable, its negative impact on performance can be effectively mitigated. Universities must transition from demand-driven management to resource-based support systems, actively cultivating staff resilience and optimizing job resources to sustain institutional efficiency.

References

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

Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185-216. https://doi.org/10.1177/135910457000100301

Gilboa, S., Shirom, A., Fried, Y., & Cooper, C. (2008). A meta-analysis of work demand stressors and job performance: Examining main and moderating effects. Personnel Psychology, 61(2), 227–271. https://doi.org/10.1111/j.1744-6570.2008.00113.x

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203

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

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

Parker, D. F., & DeCotiis, T. A. (1983). Organizational determinants of job stress. Organizational Behavior and Human Performance, 32(2), 160-177. https://doi.org/10.1016/0030-5073(83)90145-9

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879

Schaufeli, W. B., & Taris, T. W. (2014). A critical review of the Job Demands-Resources Model: Implications for improving work and health. In G. F. Bauer & O. Hämmig (Eds.), Bridging occupational, organizational and public health: A transdisciplinary approach (pp. 43–68). Springer. https://doi.org/10.1007/978-94-007-5640-3_4

Smerek, R. E., & Peterson, M. (2007). Examining Herzberg’s theory: Improving job satisfaction among non-academic employees at a university. Research in Higher Education, 48(2), 229–250. https://doi.org/10.1007/s11162-006-9042-3

Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194-200. https://doi.org/10.1080/10705500802222972

Tugade, M. M., & Fredrickson, B. L. (2004). Resilient individuals use positive emotions to bounce back from negative emotional experiences. Journal of Personality and Social Psychology, 86(2), 320–333. https://doi.org/10.1037/0022-3514.86.2.320

Williams, L. J., & Anderson, S. E. (1991). Job satisfaction and organizational commitment as predictors of organizational citizenship and in-role behaviors. Journal of Management, 17(3), 601-617. https://doi.org/10.1177/014920639101700305

Published

2026-01-28

How to Cite

Chunmeii, L., & Seong Pek, L. (2026). The Influence of Job Stress, Psychological Resilience, and Job Resources on Job Performance among University Administrative Staff in Guangdong Province. Uniglobal Journal of Social Sciences and Humanities, 5(1), 92–99. https://doi.org/10.53797/ujssh.v5i1.13.2026