Impact of Work Life Balance on Employee Engagement and Productivity in Chennai IT Sector

This study investigates the relationship between demographic profiles, work-life balance, employee engagement, and productivity in the Chennai IT sector. The research adopts a descriptive research design and collects data from 443 IT employees in Chennai through structured questionnaires using interview and online methods. The demographic analysis reveals gender, age, and designation distributions, shedding light on workforce composition. Multivariate tests employing Pillai's Trace statistics highlight the significant influences of gender, age, and designation on various work-related aspects. The Between-Subjects Effects tests further emphasize the impact of these factors on specific workplace dimensions. Correlation analysis establishes strong positive connections between work-life balance, employee engagement, and productivity. Regression analyses demonstrate that increased work-life balance corresponds to higher levels of employee engagement and productivity. In conclusion, the study's findings offer valuable insights for industry leaders and policymakers striving to create work environments that enhance engagement and productivity while prioritizing employees' well-being.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-06
DOI
https://doi.org/10.52783/jisem.v10i34s.6300
Citations
1
Primary Topic
Leadership, Behavior, and Decision-Making Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of Work Life Balance on Employee Engagement and Productivity in Chennai IT Sector

A. Mubashira Fathima
1 citations
Journal of Information Systems Engineering & Management
Leadership, Behavior, and Decision-Making Studies
article

Impact of Work Life Balance on Employee Engagement and Productivity in Chennai IT Sector

A. Mubashira Fathima
article en
1 citations

Abstract

This study investigates the relationship between demographic profiles, work-life balance, employee engagement, and productivity in the Chennai IT sector. The research adopts a descriptive research design and collects data from 443 IT employees in Chennai through structured questionnaires using interview and online methods. The demographic analysis reveals gender, age, and designation distributions, shedding light on workforce composition. Multivariate tests employing Pillai's Trace statistics highlight the significant influences of gender, age, and designation on various work-related aspects. The Between-Subjects Effects tests further emphasize the impact of these factors on specific workplace dimensions. Correlation analysis establishes strong positive connections between work-life balance, employee engagement, and productivity. Regression analyses demonstrate that increased work-life balance corresponds to higher levels of employee engagement and productivity. In conclusion, the study's findings offer valuable insights for industry leaders and policymakers striving to create work environments that enhance engagement and productivity while prioritizing employees' well-being.

Journal of Information Systems Engineering & ManagementVol. 10(34s)
Openalex Percentile: Top 90%
Leadership, Behavior, and Decision-Making Studies
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