A Novel Methodology for Configuring a Job Satisfaction Matrix

Narges Yousefpoor and Steven Meisel
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Narges Yousefpoor: Department of Commercial Management, Allameh Tabatabaei University, Tehran, Iran
Steven Meisel: La Salle University, Philadelphia, PA, USA

International Journal of Strategic Decision Sciences (IJSDS), 2012, vol. 3, issue 4, 68-77

Abstract: The purpose of this research is to provide a job satisfaction matrix for further clarification of the interrelationships between individual emotional exhaustion, job properties, and organizational factors of job satisfaction. Job satisfaction was evaluated through the use of a novel, fuzzy rule-based algorithm. Interviews were conducted to generate data on the effective factors of job satisfaction. Following interview analysis and using categories suggested by the interview data, questionnaires were generated offering linguistic choice to support the qualitative aspect of job satisfaction. A stratified sampling technique was employed to find a sample of interviewees for the questionnaires. The job satisfaction matrix provides further clarification of the interrelationships between individual factors and is track-able in time intervals for identifying the dissatisfaction factors. The research demonstrated that by using the weighted scores of the data, strategies could be suggested to fill the gaps between ideal and reported satisfaction outcomes.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsds00:v:3:y:2012:i:4:p:68-77

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