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Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews

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  • Liu, Yong
  • Teichert, Thorsten
  • Rossi, Matti
  • Li, Hongxiu
  • Hu, Feng

Abstract

This study leveraged the advantages of user-generated reviews with the aim of offering new insights into the determinants of hotel customer satisfaction by discriminating among customers by language group. From a collection of 412,784 user-generated reviews on TripAdvisor for 10,149 hotels from five Chinese cities, we found that foreign tourists, who speak diverse languages (English, German, French, Italian, Portuguese, Spanish, Japanese, and Russian), differ substantially in terms of their emphasis on the roles of various hotel attributes (“Rooms,” “Location,” “Cleanliness,” “Service,” and “Value”) in forming their overall satisfaction rating for hotels. Chinese tourists domestically exhibit distinct preferences for room-related hotel attributes when compared to foreign tourists. Major interaction effects are revealed between the attributes “Rooms” and “Service” and between “Value” and “Service”.

Suggested Citation

  • Liu, Yong & Teichert, Thorsten & Rossi, Matti & Li, Hongxiu & Hu, Feng, 2017. "Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews," Tourism Management, Elsevier, vol. 59(C), pages 554-563.
    • Handle: RePEc:eee:touman:v:59:y:2017:i:c:p:554-563
    DOI: 10.1016/j.tourman.2016.08.012
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    Cited by:

    1. Lei Li & Lin Lu & Yuchen Xu & Xiaolong Sun, 2020. "The spatiotemporal evolution and influencing factors of hotel industry in the metropolitan area: An empirical study based on China," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-23, May.
    2. Martina Nannelli & Francesco Capone & Luciana Lazzeretti, 2022. "A bibliometric analysis on Artificial intelligence in Tourism. State of the art and future research avenues," Working Papers - Business wp2022_03.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    3. Beatriz Moliner-Velázquez & Maria Fuentes-Blasco & Irene Gil-Saura, 2021. "Segmenting customers according to online word-of-mouth about hotels," Service Business, Springer;Pan-Pacific Business Association, vol. 15(1), pages 103-130, March.
    4. Juan Carlos Martín & Veronika Rudchenko & María-Victoria Sánchez-Rebull, 2020. "The Role of Nationality and Hotel Class on Guests’ Satisfaction. A Fuzzy-TOPSIS Approach Applied in Saint Petersburg," Administrative Sciences, MDPI, vol. 10(3), pages 1-24, September.
    5. Gao, Baojun & Li, Xiangge & Liu, Shan & Fang, Debin, 2018. "How power distance affects online hotel ratings: The positive moderating roles of hotel chain and reviewers’ travel experience," Tourism Management, Elsevier, vol. 65(C), pages 176-186.
    6. Sunyoung Hlee & Hanna Lee & Chulmo Koo, 2018. "Hospitality and Tourism Online Review Research: A Systematic Analysis and Heuristic-Systematic Model," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
    7. Estela Marine-Roig, 2017. "Measuring Destination Image through Travel Reviews in Search Engines," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    8. Qian Yao & Yong Shi & Hai Li & Jiahong Wen & Jianchao Xi & Qingwei Wang, 2020. "Understanding the Tourists’ Spatio-Temporal Behavior Using Open GPS Trajectory Data: A Case Study of Yuanmingyuan Park (Beijing, China)," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
    9. Zajadacz Alina & Minkwitz Aleksandra, 2020. "Using Social Media Data to Plan for Tourism," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 125-138, September.
    10. Liu, Yuan-Yuan & Tseng, Fang-Mei & Tseng, Yi-Heng, 2018. "Big Data analytics for forecasting tourism destination arrivals with the applied Vector Autoregression model," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 123-134.
    11. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    12. Nguyen The Hien & Yen-Lun Su & Raksmey Sann & Le Thi Phuong Thanh, 2022. "Analysis of Online Customer Complaint Behavior in Vietnam’s Hotel Industry," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    13. Luo, Qiuju & Zhai, Xueting, 2017. "“I will never go to Hong Kong again!” How the secondary crisis communication of “Occupy Central” on Weibo shifted to a tourism boycott," Tourism Management, Elsevier, vol. 62(C), pages 159-172.
    14. Clérito Kaveski Peres & Edson Pacheco Paladini, 2022. "Quality Attributes of Hotel Services in Brazil and the Impacts of COVID-19 on Users’ Perception," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    15. Deborah Agostino & Marco Brambilla & Silvio Pavanetto & Paola Riva, 2021. "The Contribution of Online Reviews for Quality Evaluation of Cultural Tourism Offers: The Experience of Italian Museums," Sustainability, MDPI, vol. 13(23), pages 1-20, December.
    16. Jang, Seongsoo & Chung, Jaihak & Rao, Vithala R., 2021. "The importance of functional and emotional content in online consumer reviews for product sales: Evidence from the mobile gaming market," Journal of Business Research, Elsevier, vol. 130(C), pages 583-593.
    17. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    18. Raksmey Sann & Pei-Chun Lai & Hui-Chen Chang, 2020. "Does Culture of Origin Have an Impact on Online Complaining Behaviors? The Perceptions of Asians and Non-Asians," Sustainability, MDPI, vol. 12(5), pages 1-37, February.
    19. Ha Thi Thu Nguyen & Trung Xuan Nguyen, 2023. "Understanding customer experience with Vietnamese hotels by analyzing online reviews," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    20. Marcello M. Mariani & Michela Matarazzo, 2021. "Does cultural distance affect online review ratings? Measuring international customers’ satisfaction with services leveraging digital platforms and big data," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1057-1078, December.
    21. Mehrbakhsh Nilashi & Abbas Mardani & Huchang Liao & Hossein Ahmadi & Azizah Abdul Manaf & Wafa Almukadi, 2019. "A Hybrid Method with TOPSIS and Machine Learning Techniques for Sustainable Development of Green Hotels Considering Online Reviews," Sustainability, MDPI, vol. 11(21), pages 1-21, October.
    22. Bipasha Sukrana & Tanzina Haque & Farjana Islam Jui, 2023. "Factors Affecting Bangladeshi Travelers’ Selection of Hotels," International Journal of Science and Business, IJSAB International, vol. 25(1), pages 124-138.

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