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- Title
The Association between Job Stress and Productivity among the Non-Academic Staff of Universities.
- Authors
Nourdadashi, Ali; Amraei, Mahdi; Khaiavi, Farzad Faraji
- Abstract
Background. Employees are critical assets of an organization, and it is necessary to investigate and identify factors affecting their performance and productivity. This study aimed to determine the relationship between job stress and job productivity in university Methods. This cross-sectional study included 124 employees of Ahvaz Jundishapur University of Medical Sciences (AJUMS) based on Cochran's formula. Data collection instruments included the standard occupational stress questionnaire of the England Institute (HSE) and Echio's productivity questionnaire. The validity and reliability of the instruments have been confirmed. Statistical analyses were performed using SPSS 22 Results. The mean score of job stress and job performance was 119.75 (±17.49) and 103.3 (±21.47), respectively, and their level was estimated as average. Findings indicated a significant negative correlation between job stress and performance (r = -0.59, P<0.001). In addition, three variables, including employee position, management support, and change were identified as the main predictors of employee productivity based on linear regression. There was a significant relationship between some demographic variables (age, Conclusion. According to our results, there was a significant negative correlation between occupational stress and staff productivity. These findings can be generalized to university administrative personnel. Three occupational stress components, including management support, change, and employee position, were identified as main predictors of productivity. Therefore, in order to improve productivity, managers need to consider more independence and support for personnel, as well as reduce the changes' rate.
- Subjects
IRAN; EMPLOYEE psychology; INFERENTIAL statistics; LABOR productivity; ACADEMIC medical centers; RESEARCH evaluation; JOB stress; WHITE collar workers; CROSS-sectional method; AGE distribution; REGRESSION analysis; SEX distribution; PEARSON correlation (Statistics); PSYCHOSOCIAL factors; QUESTIONNAIRES; DESCRIPTIVE statistics; SCALE analysis (Psychology); DATA analysis software; JOB performance; STATISTICAL sampling; EDUCATIONAL attainment
- Publication
Depiction of Health, 2023, Vol 14, Issue 4, p397
- ISSN
2008-9058
- Publication type
Article
- DOI
10.34172/doh.2023.31