Job Satisfaction, Work Environment and Relations with Managers in Britain
Little empirical work has been done on the relationship of job satisfaction to work environment and the managerial attitudes towards employees. Employees’ well being is important to the firm. Analysis of job satisfaction may give insight into various aspect of labor market behavior, such as worker productivity, absenteeism and job turn over. This paper investigates the relationship of worker satisfaction, to the work environment and the worker relationship to managers. We use a unique data of 28 240 British employees, Workplace Employee Relations Survey (WERS97). In this data set the employee questionnaire is matched with the employer questionnaire. Four measures of job satisfaction are negatively related to the establishment size. Establishment size in return is related to the degree of flexibility in the work environment and the relationship with the supervisors. We find that, contrary to the previous results lower levels of job satisfaction in larger establishments can not necessarily be attributed to the inflexibility in the work environment. However, the weak employee-manager relationships may be a major source of the observed lower levels of job satisfaction in larger establishments.
|Date of creation:||Apr 2003|
|Date of revision:||Apr 2003|
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- Brown, Charles & Medoff, James, 1989.
"The Employer Size-Wage Effect,"
Journal of Political Economy,
University of Chicago Press, vol. 97(5), pages 1027-59, October.
- Saziye Gazioglu & Aysit Tansel, 2006.
"Job satisfaction in Britain: individual and job related factors,"
Taylor & Francis Journals, vol. 38(10), pages 1163-1171.
- Saziye Gazioglu & Aysit Tansel, 2003. "Job Satisfaction in Britain: Individual and Job Related Factors," ERC Working Papers 0303, ERC - Economic Research Center, Middle East Technical University, revised Apr 2003.
- Dunn, L F, 1986. "Work Disutility and Compensating Differentials: Estimation of Factors in the Link between Wages and Firm Size," The Review of Economics and Statistics, MIT Press, vol. 68(1), pages 67-73, February.
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