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VOL. 11, ISSUE 1 (2026)
A study on quality of work life and its impact on employee performance
Authors
Dr. Anup Arjunan Bahuleyan, Dr. Swapna O, Dr. Shobha B
Abstract

Quality of Work Life (QWL) has emerged as a critical factor influencing employee performance and organizational effectiveness in today’s competitive business environment. Organizations increasingly recognize that employees’ productivity, efficiency, and commitment are strongly shaped by their perceptions of workplace conditions, organizational support, and work–life balance. The present study aims to examine the level of Quality of Work Life among employees and to analyze its impact on employee performance. The study focuses on key dimensions of QWL such as work environment, compensation and benefits, work–life balance, career development, and organizational support.

The study adopts a descriptive and analytical research design and is based on primary data collected through a structured questionnaire administered to employees. A convenience sampling technique was used to select the respondents. Statistical tools such as descriptive statistics, reliability analysis, correlation analysis, and multiple regression analysis were employed using SPSS to analyze the data. The findings reveal that employees experience a moderate to high level of Quality of Work Life and that QWL has a significant and positive impact on employee performance. Among the various dimensions, organizational support and work environment were found to be the strongest predictors of employee performance.

The study concludes that improving Quality of Work Life is essential for enhancing employee efficiency, productivity, and overall work outcomes. The results provide valuable insights for managers and policymakers to design effective QWL strategies that promote employee well-being while achieving sustainable organizational performance.
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Pages:3-6
How to cite this article:
Dr. Anup Arjunan Bahuleyan, Dr. Swapna O, Dr. Shobha B "A study on quality of work life and its impact on employee performance". International Journal of Advanced Research and Development, Vol 11, Issue 1, 2026, Pages 3-6
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