The Efficiency of Eco-Friendly Practices in Sri Lankan Tourist Hotels: A Case Study of Norwood Tourism Region

Abstract

The tourism hotel sector in Sri Lanka is crucial to the nation's economic growth, but it also presents serious environmental problems. With the goal of assessing their application, effects, and connection to customer satisfaction, this study explores the effectiveness of eco-friendly measures in lodging establishments in the Norwood tourism area. In 2024, self-administered questionnaires were delivered to 120 hotel managers and staff from 15 different accommodations as part of a quantitative study method. Using SPSS, descriptive statistics and Pearson correlation analysis were used to examine consumer satisfaction, eco-friendly practice adoption, awareness levels, and demographic characteristics. The results show that 91.67% of respondents actively implement sustainable measures, indicating a high degree of awareness and acceptance of eco-friendly practices, particularly in waste management and water conservation. The success of these procedures and visitor satisfaction are strongly positively correlated, as indicated by the Pearson correlation coefficient (r = 0.947, p < 0.01). Alongside drawbacks like high upfront expenditures and supply shortages, advantages like improved brand recognition, favourable visitor reviews, and a smaller environmental impact were noted. In order to overcome these obstacles, proactive measures including employee training and collaborations with regional vendors were shown to be successful. To sum up, eco-friendly procedures are successfully incorporated into the Norwood hotel sector, improving both company performance and environmental sustainability. In order to further promote sustainable tourism, recommendations highlight the necessity of financial incentives, capacity building, guest participation, and policy integration. For scholars, industry professionals, and legislators looking to improve sustainability in the hotel industry, this study offers unique empirical data from a little-studied area of Sri Lanka.