Quality of Worklife: A Study of Employees in Thrifty Technologies Pvt Ltd, Tamilnadu, India
Journal: International Journal of Science and Research (IJSR) (Vol.8, No. 1)Publication Date: 2019-01-05
Authors : Toopalli Sirisha; Y. P Sai Lakshmi;
Page : 334-339
Keywords : Quality; Work Life; Employee; Job Security; Work Timings;
Abstract
The paper aims to study the concept Quality of Work-Life and the role it plays in enhancing the productivity and performance in an organization. It also aims at understanding a wide range of welfare activities to be undertaken in order to improve Quality of Work-Life (QWL) in an organization. The success of any organization is highly dependent on how it attracts recruits, motivates and retains its work force. Organizations are required to adopt a strategy to improve the employees QWL to satisfy organizational objectives and employee needs. This paper studies the effective QWL practices in organizations and their impact on employee performance and the overall organizational performance. The QWL consists of three main components, namely occupational health care, Suitable working time and appropriate salary. The conclusion drawn from the paper is that a better QWL leads to motivation and satisfaction and thereby increases production& performance. It helps in reducing absenteeism, stress& distractions. This study recommended to make the employees aware of the company goals, vision, mission, which will give them a sense of belonging and responsibility to the organization. This study examines Quality of Work Life (QWL) in Tamilnadu, India, terms of how their work lives satisfy eleven fundamental requirements of employees and how the fulfillment of each individual need in their work life.
Other Latest Articles
- Development of Interactive Learning Media Based on Teaching Multimedia Scouting Faculty of Sports Science
- Expression of HER2 and BRCA1 in Breast Tumors among Sudanese Women, Immunohistochemical Study
- Study of Creating Awareness for Adoption of Cloud Computing in Business Organizations: A Saudi Arabia Case
- Comparison Supervised Learning Algorithms for Spinal-Column Disease
- Study of Vehicular AD-HOC Network in Cognitive Radio
Last modified: 2021-06-28 17:20:55