AN EMPIRICAL STUDY ON THE EFFECT OF DEMOGRAPHIC VARIABLES ON QUALITY OF WORK LIFE AMONG EMPLOYEES IN CONSTRUCTION SECTOR

In this era of globalization, the organizations have realized the importance of human resources in achieving the goals of organizations. Improving Productivity, enhancing employee commitment, reducing attrition rate are some of the major challenges the organizations are facing in today's dynamic environment. Quality of Work Life(QWL) has emerged as a concept whose main foundation is on developing jobs and working conditions that satisfy the employees personal needs through their experience in the organization. QWL refers to a relationship between the employees and their work environment by including the human perspective to the economic and technical perspective, thereby improving the overall satisfaction, motivation, commitment and involvement employees experience while working in the organizations. Rise in the Quality of Work Life enhances employees' wellbeing there by the wellbeing of the whole organization. The main objective of the study of this study is to analyze and explore the experience of employees towards their Quality of Work Life(QWL) in terms of the following factors Adequate and Fair Compensation, Safe and Healthy Working Conditions, Career Growth and Security, Use and Development of Human Capabilities, Work and Quality of Life, Social Integration, Constitutionalism, Social Relevance of employees and to study the effect of demographical variables like age, gender, experience and marital status with regard to these eight factors of QWL. This paper is based on the study, observation and collection of data among employees at a construction organization, which is one of the largest and most respected organization in India‘s private sector. The type of research adopted in this study is Descriptive Research. The sampling design being used here is Simple Random sampling through Simple Random method. The sample size taken to conduct the research is 120 employees. Structured questionnaire was used for collection of data. T-test and ANOVA are the tools used for data analysis.