Job Satisfaction Predictors Identification: A Multiple Regressional Analysis Approach

Abstract

Job satisfaction is the overall attitude of workers towards the work, co-employees, the organization, the culture, the environment and the colleagues at large. It can be viewed as the result of various attitudes that the worker holds towards his job, towards other related factors and towards life in general. The happiness or pleasure that an employee gets by using this knowledge and skill effectively, result in job satisfaction. It is the mental satisfaction a person gets by using his strong points and talents efficiently. The issue of the job satisfaction in the work setting is a contemporary topic of interest. One value of the Job satisfaction concept is that multiple dimensions of behavior within an organization and can be studied and considered under a global concept. Job satisfaction intends the inner contentment that a job holder gets by doing the job well. It is an amount of pleasure related with a job. It influences the behavior, presence and length of service. This paper is an attempt to find the significant predictor for the determination of Job Satisfaction. Organizational climate, Job stress, Propensity to stay at job, family size, Occupational Stress, Job Performance, Occupational Status and many others variables have been applied as independent factor for the identifying the major variables which contributes for the construction of Job Satisfaction perception. A sample of 360 employee’s respondents as sample drawn from the four different units located in Himachal and Punjab states. The Bhakra-Beas Management Board was undertaken as universe for the present study. The study was conducted during 2008 to 2010. A questionnaire consisting of socio-economic and Organizational Climate Inventory, propensity to stay at job, occupational stress, self-esteem etc. job satisfaction and others has been applied. The questionnaire was pretested and found valid as well reliable. The tabular, mathematical and especially statistical measure multiple regression analysis has been applied to test the proposed hypotheses. The null hypothesis (Ho) proposed has been rejected and it can be inferred that significant contributor to the Job Satisfaction can be identified.