Evaluating Employee Welfare Measures in NTPC Townships
Year: 2025
Type: article
Study design: Observational Study
Abstract: : Employee welfare is a crucial component of organizational effectiveness, directly influencing productivity, job satisfaction, and overall quality of life. This study evaluates employee welfare measures and HR policies in NTPC townships, focusing on township infrastructure, maintenance services, sanitation, security, and complaint redressal mechanisms. A structured questionnaire was administered to 120 employees residing in NTPC townships, collecting data on various aspects of township facilities and employee satisfaction. The research employed descriptive statistics and a Chi-square goodness-of-fit test to analyze the uniformity of employee satisfaction across different service categories. The results indicate significant variations in satisfaction levels. While township roads (84.2%), security measures (81.7%), and water quality (79.2%) received high satisfaction ratings, civil complaint resolution (30.8%) and township building maintenance (21.7%) were the lowest-rated aspects. The Chi-square test (χ² = 70.56, df = 13, p = 0.000) confirmed a highly significant disparity, rejecting the null hypothesis that employee satisfaction is uniformly distributed across services. Sanitation services (60.8%) and horticulture maintenance (64.2%) received moderate approval, whereas weekly market arrangements (58.3%) showed notable dissatisfaction (34.2%). The study highlights key areas for improvement, including faster response times for maintenance complaints, stricter contractor supervision, enhanced waste management, structured building renovations, and improved security protocols. By addressing these concerns, NTPC can optimize township management, enhance employee well-being, and reinforce its commitment to sustainable workforce development.
Authors: Dushyant Kumar Kurrey, Sandeep Kumar, Aditya Moktan Tamang, Birendra Nath Singh
Language: English
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409085109
