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The use of big data analytics to discover customers perceptions of and satisfaction with green hotel service quality      
Yazarlar
Dr. Öğr. Üyesi Hasan Evrim ARICI
Kastamonu Üniversitesi, Türkiye
Doç. Dr. Nagihan ÇAKMAKOĞLU ARICI
Kastamonu Üniversitesi, Türkiye
Levent Altınay
Uluslararası Final Üniversitesi, Türkiye
Özet
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 analysed. Using Leximancer analysis and multivariate analysis of a big dataset, we adopted a mixed research method to analyse 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.
Anahtar Kelimeler
Big data | green customer satisfaction | green hotels | green service quality | online reviews | TripAdvisor
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Current Issues in Tourism
Dergi ISSN 1368-3500
Dergi Tarandığı Indeksler SSCI
Dergi Grubu Q1
Makale Dili İngilizce
Basım Tarihi 01-2023
Cilt No 26
Sayı 2
Sayfalar 270 / 288
Doi Numarası 10.1080/13683500.2022.2029832
Makale Linki http://dx.doi.org/10.1080/13683500.2022.2029832