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An Evaluation of Green Hotels in Singapore, Sentosa Island: A Big Data Study Through Online Review

Author

Listed:
  • Ummi Aliyah

    (Department of Global Business, Kyungsung University, Busan 48434, Republic of Korea)

  • Angellie Williady

    (Department of Global Business, Kyungsung University, Busan 48434, Republic of Korea)

  • Hak-Seon Kim

    (School of Hospitality & Tourism Management, Kyungsung University, Busan 48434, Republic of Korea)

Abstract

The purpose of this study is to evaluate green hotels in Sentosa Island, Singapore, with big data analysis utilizing online reviews regarding environmental sustainability practices. Tourism, while providing significant economic benefits, also contributes to environmental degradation, particularly through the hotel industry, which accounts for a substantial share of global greenhouse gas emissions. Sustainable tourism practices are becoming increasingly popular as the public becomes more aware of the environment. As a result, green hotels emerged as a solution and hotels are taking steps to become eco-friendly. Based on the 3579 online reviews, the findings indicate that green practices, including water and energy conservation, play a crucial role in enhancing customer satisfaction, alongside traditional hospitality elements such as service quality and amenities. The integration underscores the importance of incorporating sustainability into core operations without compromising the high standards of service that guests expect. This research contributes to the understanding of sustainable hospitality practices, offering actionable recommendations for policymakers and hotel managers to foster environmentally friendly practices while maintaining customer satisfaction.

Suggested Citation

  • Ummi Aliyah & Angellie Williady & Hak-Seon Kim, 2025. "An Evaluation of Green Hotels in Singapore, Sentosa Island: A Big Data Study Through Online Review," Tourism and Hospitality, MDPI, vol. 6(1), pages 1-18, February.
    • Handle: RePEc:gam:jtourh:v:6:y:2025:i:1:p:24-:d:1587832
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