Determinants of Job Satisfaction in Digital Hr Systems: An Empirical Study of Hris in The Indian It Industry

Abstract

The study examines the impact of Human Resource Information System (HRIS) service quality on job satisfaction among employees in the Indian IT sector, focusing on system use, information accuracy, and user support. A quantitative research design is adopted. Primary data is collected from 384 respondents using a five-point Likert scale questionnaire. Convenience sampling is used. Data is analyzed using SPSS through descriptive statistics, correlation, and multiple regression techniques. The results indicate that information accuracy (β = 0.38, p < 0.001) has the strongest impact on job satisfaction, followed by system use (β = 0.31, p < 0.001) and user support (β = 0.27, p < 0.001). The correlation analysis shows strong positive relationships, with information accuracy (r = 0.68), system use (r = 0.64), and user support (r = 0.59) significantly associated with job satisfaction. The regression model explains 55% of the variance (R² = 0.55) and is statistically significant (F = 155.32, p < 0.001). The study extends existing literature by focusing on HRIS service quality dimensions rather than general adoption. Organizations should improve data accuracy, system usability, and support services to enhance satisfaction. The study provides empirical evidence on HRIS service quality and job satisfaction in the Indian IT sector.