Journal Article

The use of big data analytics to discover customers’ perceptions of and satisfaction with green hotel service quality

Abstract

This study examined customers’ green reviews on TripAdvisor and identified environmentally friendly themes and concepts. The differences among the 10 countries in terms of the volume of green reviews and customers’ green satisfaction ratings were also analyzed. Using Leximancer analysis and multivariate analysis of a big dataset, we adopted a mixed research method to analyze 121,780 reviews posted on TripAdvisor for 87 green hotels from the top 10 tourism countries. The Leximancer analysis found that the most important themes mentioned in customers’ green reviews are room, daily, hotel, staff, front, food, coffee, amazing, experience, and trip. The results also showed that highest satisfaction ratings were ranked in Italy, the USA, and Turkey, respectively, while the lowest ratings were from Germany and France. The results provide critical recommendations for hoteliers to truly comprehend what green practices are noticed and appreciated by their customers.

Attached files

Authors

Arıcı, Hasan Evrim
Arıcı, Nagihan Cakmakoglu
Altinay, Levent

Oxford Brookes departments

Oxford Brookes Business School

Dates

Year of publication: 2022
Date of RADAR deposit: 2022-06-10

---

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

---

Related resources

This RADAR resource is the Accepted Manuscript of The use of big data analytics to discover customers’ perceptions of and satisfaction with green hotel service quality