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A Study of Impact of Demographic Variables on Quality of Work Life

By: Contributor(s): Material type: TextTextDescription: 358-365 pSubject(s): In: CHAKRAVORTY S K (EDITOR) PRODUCTIVITYSummary: A good Quality of Work Life (QWL) is indispensable for the success and survival of any organization as it contributes to employee motivation and satisfaction, which enhances employee performance. QWL enables organisations to enjoy a competitive advantage in the present scenario of increased competition and challenges. Also, people are the most vital resource in an organization as they facilitate optimum and the most effective use of other organizational resources. Thus, the present study aims at assessing the QWL of employees of Himachal Pradesh Power Corporation Limited (HPPCL) and measuring the impact of various demographic variables on QWL. Results show that all the eight QWL dimensions taken in the study make a contribution to the overall QWL, and HPPCL employees are quite satisfied with the QWL and its dimensions. Results also reveal that gender, age, hierarchical level and marital status have no impact on QWL. However, annual income was found to have a statistically significant impact on QWL
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A good Quality of Work Life (QWL) is indispensable for the success and survival of any organization as it contributes to employee motivation and satisfaction, which enhances employee performance. QWL enables organisations to enjoy a competitive advantage in the present scenario of increased competition and challenges. Also, people are the most vital resource in an organization as they facilitate optimum and the most effective use of other organizational resources. Thus, the present study aims at assessing the QWL of employees of Himachal Pradesh Power Corporation Limited (HPPCL) and measuring the impact of various demographic variables on QWL. Results show that all the eight QWL dimensions taken in the study make a contribution to the overall QWL, and HPPCL employees are quite satisfied with the QWL and its dimensions. Results also reveal that gender, age, hierarchical level and marital status have no impact on QWL. However, annual income was found to have a statistically significant impact on QWL

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