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Is It Psychology About Linear Or Dynamic Systems?

Author

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  • Dana BALAS-TIMAR

    (Aurel Vlaicu University of Arad)

Abstract

Advances in Physics and Mathematics have proven that our complex world does not obey anymore the standard linear modelling systems rules. This paradigm seems to take over much of the scientific research in all sciences. Psychologists, no matter what their orientation is, are striving to create global models that can explain and predict human behaviour and emotions. In this quest, there have been elaborated many meta-analyses that gather relevant findings in order to create a conceptual framework of understanding human behaviour and affect. This paper presents arguments for sustaining the curvilinear relationships hypothesis that occur between variables (job satisfaction, job performance, age) in an organizational context research. Conclusions set up a new conceptualization of the variable dynamic relationship inferences in Psychology.

Suggested Citation

  • Dana BALAS-TIMAR, 2014. "Is It Psychology About Linear Or Dynamic Systems?," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 4, pages 189-196, July.
    • Handle: RePEc:cmj:seapas:y:2014:i:4:p:189-196
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    References listed on IDEAS

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    1. Clark, Andrew E., 1997. "Job satisfaction and gender: Why are women so happy at work?," Labour Economics, Elsevier, vol. 4(4), pages 341-372, December.
    2. Golden, Lonnie & Wiens-Tuers, Barbara, 2006. "To your happiness? Extra hours of labor supply and worker well-being," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(2), pages 382-397, April.
    3. Clark, Andrew E. & Oswald, Andrew J., 1996. "Satisfaction and comparison income," Journal of Public Economics, Elsevier, vol. 61(3), pages 359-381, September.
    4. Francis Green & Nicholas Tsitsianis, 2005. "An Investigation of National Trends in Job Satisfaction in Britain and Germany," British Journal of Industrial Relations, London School of Economics, vol. 43(3), pages 401-429, September.
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