The influence of stress and satisfaction on productivity
AbstractIn 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 39654.
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
Stress; satisfaction; productivity;
Find related papers by JEL classification:
- J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
- J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions
- J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
- M12 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - Personnel Management; Executives; Executive Compensation
- M50 - Business Administration and Business Economics; Marketing; Accounting - - Personnel Economics - - - General
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- Gurmu, Shiferaw & Rilstone, Paul & Stern, Steven, 1998. "Semiparametric estimation of count regression models1," Journal of Econometrics, Elsevier, vol. 88(1), pages 123-150, November.
- 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).
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