Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Impact of Motivation on Job Satisfaction of SFL Employees


Affiliations
1 Department of Management Studies, Pondicherry University, India
     

   Subscribe/Renew Journal


This descriptive research endeavours to analyse the level of job satisfaction and motivation prevalent among employees of SFL and explore the impact of motivation on job satisfaction by administering a well structured interview schedule to 100 employees selected at a random. Using the statistical tools of Mean, Cluster analysis, Correspondence analysis, Anova, Confirmatory Factor Analysis (CFA), Structural Equation Modeling (SEM) and Regression, the study has revealed that the employees of SFL are pretty satisfied with their job and well-motivated. Employees with lesser education and income and those in lower cadre display lesser degree of job satisfaction while those with lesser work service, age, education, income and cadre and male employees possess relatively lower level of motivation. Only 12 and 5 employees are least motivated and discontented with their job. Motivation exerts significant positive impact on job satisfaction.

Keywords

Motivation, Job satisfaction, Structural Equation Modelling, Confirmatory Factor Analysis, Cluster Analysis.
Subscription Login to verify subscription
User
Notifications
Font Size

Abstract Views: 206

PDF Views: 0




  • Impact of Motivation on Job Satisfaction of SFL Employees

Abstract Views: 206  |  PDF Views: 0

Authors

G. Madan Mohan
Department of Management Studies, Pondicherry University, India
K. P. Ajina
Department of Management Studies, Pondicherry University, India

Abstract


This descriptive research endeavours to analyse the level of job satisfaction and motivation prevalent among employees of SFL and explore the impact of motivation on job satisfaction by administering a well structured interview schedule to 100 employees selected at a random. Using the statistical tools of Mean, Cluster analysis, Correspondence analysis, Anova, Confirmatory Factor Analysis (CFA), Structural Equation Modeling (SEM) and Regression, the study has revealed that the employees of SFL are pretty satisfied with their job and well-motivated. Employees with lesser education and income and those in lower cadre display lesser degree of job satisfaction while those with lesser work service, age, education, income and cadre and male employees possess relatively lower level of motivation. Only 12 and 5 employees are least motivated and discontented with their job. Motivation exerts significant positive impact on job satisfaction.

Keywords


Motivation, Job satisfaction, Structural Equation Modelling, Confirmatory Factor Analysis, Cluster Analysis.