Identifying Job Satisfaction Parameters among the Employees in Higher Educational Institutions: A Mathematical Model

TL;DR

This paper develops a mathematical model using Multi Criteria Decision Making tools to identify key factors affecting job satisfaction among staff in higher educational institutions, aiming to improve retention and efficiency.

Contribution

It introduces a formal mathematical approach to analyze job satisfaction parameters, which has not been explicitly addressed in prior research.

Findings

Promotional opportunities significantly impact job satisfaction

Interpersonal relations and managerial support are crucial factors

Department of employment influences satisfaction levels

Abstract

The study is conducted to evaluate the job satisfaction among the administrative and teaching faculties in higher educational institutions. Many researchers have conducted studies to evaluate differences in job perception between teaching and non-teaching staff. Despite this, none of the studies have explicitly focused on developing a formal mathematical approach for analysis. Thus, this paper aims to identify the job satisfaction parameters among staff in an educational institution by using Multi Criteria Decision Making (MCDM) tools. The factors influencing employee job satisfaction have been ascertained and hierarchically organized through the utilization of the standard deviation methodology. Analytical findings reveal that certain variables, including promotional opportunities, interpersonal relations with colleagues, managerial support, and the department of employment, exert a substantial impact on an individual's level of job satisfaction. The research posits that the strategic implementation of these variables and attributes by organizational management can significantly ameliorate challenges related to employee retention, thereby enhancing overall workforce efficiency.