The influence of stress and satisfaction on productivity
In this study, using a random sample of 425 employees in the private and public sector, we investigate the effects of stress and job satisfaction on the functioning of a company. Our attention is focused on factors that affect stress and job satisfaction like the number of work hours, good relations between management and employees, good function of the group and work related to employees’ area of education. Factor Analysis is used first in order to identify the responsible factors for the correlation among a large number of qualitative and quantitative variables and their influence on productivity. The extracted factors showed us that productivity is an element affected by the two qualitative factors, stress and satisfaction. Increased stress leads to reduced productivity and increased satisfaction leads to increased productivity. Logistic Regression is used next presenting us with a lot of useful elements concerning the function of stress, satisfaction and supportive elements on productivity.
|Date of creation:||Feb 2008|
|Date of revision:|
|Publication status:||Published in International Journal of Productivity and Performance Management 5.59(2010): pp. 415-431|
|Contact details of provider:|| Postal: |
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Leeflang, P.S.H. & Wittink, Dick R., 2000. "Building models for marketing decisions: past, present and future," Research Report 00F20, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Heaney, Catherine A. & Israel, Barbara A. & House, James S., 1994. "Chronic job insecurity among automobile workers: Effects on job satisfaction and health," Social Science & Medicine, Elsevier, vol. 38(10), pages 1431-1437, May.
- Gurmu, Shiferaw & Rilstone, Paul & Stern, Steven, 1998. "Semiparametric estimation of count regression models1," Journal of Econometrics, Elsevier, vol. 88(1), pages 123-150, November.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:39654. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)
If references are entirely missing, you can add them using this form.