Article ID Journal Published Year Pages File Type
6901268 Procedia Computer Science 2017 8 Pages PDF
Abstract
The purpose of the paper is to determine how work engagement and its components -vigor, dedication and absorption vary with employee demographic factors such as gender, marital status, age, experience, tenure, income and education. Data collected from 303 working adults in the IT industry of India was statistically analyzed. T-tests and ANOVA revealed that work engagement significantly differed with age, education level, and experience. There was no difference in Work engagement as far as gender, marital status, tenure, and income was concerned. Pearson Correlations revealed significant relationships of work engagement with age, education level and experience. However, when regression was done to find out the determinants of WE, gender and education came out to be the predictor variables. The study has managerial implications as employers now know that work engagement is predicted by higher education and that males are more engaged than females in the IT industry.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
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