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Journal of Applied Sciences
  Year: 2011 | Volume: 11 | Issue: 4 | Page No.: 686-692
DOI: 10.3923/jas.2011.686.692
 
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An Information Theoretic Job Satisfaction Analysis

Enrico Ciavolino

Abstract:
The aim of this study is to analyze a Job Satisfaction (JS) model by using an information theoretic approach based on the semi-parametric Generalized Maximum Entropy (GME) estimator. The GME is used in order to estimate the parameters of the Structural Equation Model (SEM), which represents the theoretical representation of the relationships between the human being and his job. Moreover, thanks to the entropy index measure, the theoretical model is analyzed in its some particular aspects, which can be seen as sub-structures in the relationships.
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How to cite this article:

Enrico Ciavolino , 2011. An Information Theoretic Job Satisfaction Analysis. Journal of Applied Sciences, 11: 686-692.

DOI: 10.3923/jas.2011.686.692

URL: https://scialert.net/abstract/?doi=jas.2011.686.692

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