A Comprehensive Study on the Relationship between Job Classification and Job Satisfaction

In a nation where the pinnacle of success in career is defined by attaining a hierarchical position and not by the contribution to the purpose, studies based upon Job Classification or cadres are automatically justified. The moot question arises as to whether cadres lead to job satisfaction or not. In furtherance another question arises as to what are the demographic variables which impact the relationship between Job Class/cadre and Job satisfaction. These questions are of paramount relevance as dissatisfaction pervading amongst employees would lead to internal frictions resulting in Industrial Disputes. In the existing Management Literature it is found that there are few comprehensive works establishing co-relation between Job classification and job satisfaction level of employees. In this empirical study attempt has been made to find out the research gaps and discover the difference in Job Satisfaction amongst Job Classification (Workers, Supervisors, and Engineers or Executives), in presence of various demographic variables like sector, age, gender, educational qualification, marital status and caste, in a comprehensive manner .

For finding out the Job satisfaction level of the employees the ‘Minnesota Satisfaction Questionnaire’s (MSQ)’ short form of twenty items with five point linkert type format along with the data sheet was administered. The data was collected from the employees one major Public Sector and one major Private Sector enterprise i.e. NTPC Ltd and HEG Ltd, respectively. Approximately 400 questionnaires were distributed and 369 correct and proper responses have been received. Out of these 369 responses, 100 nos are from HEG Ltd., and 269 nos. from NTPC Ltd. The data was collected during the period of January, 2011 to May, 2012 and was analyzed through SAS software. Upon analysis significant difference has been found between Job Class/Cadres of employees and their job satisfaction. Further, impact of various demographic variables was also found significant.