Moderating Role of Gender between Job Characteristics and Job Satisfaction: An Empirical Study of Software Industry Using Structural Equation Modeling

Shruti Traymbak, Pranab Kumar and A.N. Jha
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Shruti Traymbak: Birla Institute of Technology, Lalpur, Ranchi, India
Pranab Kumar: Birla Institute of Technology, Lalpur, Ranchi, India
A.N. Jha: Birla Institute of Technology, Lalpur, Ranchi, India

International Journal of Human Capital and Information Technology Professionals (IJHCITP), 2017, vol. 8, issue 2, 59-71

Abstract: This study examines the moderating role of gender between job characteristics and job satisfaction among Indian software employees which has received less attention in the Indian context. Additionally, it also examines difference in the job characteristics that affect male and female employee's job satisfaction. Structural Equation Modeling (SEM) and chi-square difference in multi group moderation analysis, used to test the hypothesized relationships. Chi-square difference test showed invariant moderation effect of gender on the relationship between job characteristics and job satisfaction. It has been also found that five job characteristics (skill variety, task significance, task identity, autonomy and feedback) have a significant positive impact on job satisfaction among male employees, whereas in case of female, only two job characteristics task significance and task identity were significant predictors of job satisfaction. Interestingly, task significance and task identity were common significant positive predictors of job satisfaction for both male and female software employees.

Date: 2017
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