Subscribe Now Subscribe Today
Science Alert
Curve Top
Journal of Applied Sciences
  Year: 2011 | Volume: 11 | Issue: 4 | Page No.: 686-692
DOI: 10.3923/jas.2011.686.692
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

An Information Theoretic Job Satisfaction Analysis

Enrico Ciavolino

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.
PDF Fulltext XML References Citation Report Citation
  •    Moderating Role of the Ethic
  •    Emotional Intelligence and Job Satisfaction
  •    The Relationship between Organizational Commitment and Intention to Quit: The Malaysian Companies Perspectives
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






Curve Bottom