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A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com

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  • Zhang, Hong-yu
  • Ji, Pu
  • Wang, Jian-qiang
  • Chen, Xiao-hong

Abstract

Decision support models for satisfactory restaurants have attracted numerous researchers' attention. Many extant models do not consider the active, neutral and passive information in online reviews all at once. Moreover, they ignore the effect of interdependence among criteria on tourists' decision-making. To cover these defects, this study proposes a restaurant decision support model using social information for tourists on TripAdvisor.com. The model introduces fuzzy sets to denote online reviews and utilizes Bonferroni mean to consider interdependence among criteria. Furthermore, it uses a novel similarity measurement which can handle sparse data in fuzzy environments. To validate the model, we conduct a case study of TripAdvisor.com which compares the proposed model with four other models. The performance of each model is evaluated by the metric called the mean absolute error. The study shows that the proposed model can effectively support tourists' decision-making and it performs better than the other four models.

Suggested Citation

  • Zhang, Hong-yu & Ji, Pu & Wang, Jian-qiang & Chen, Xiao-hong, 2017. "A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com," Tourism Management, Elsevier, vol. 59(C), pages 281-297.
    • Handle: RePEc:eee:touman:v:59:y:2017:i:c:p:281-297
    DOI: 10.1016/j.tourman.2016.08.010
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    References listed on IDEAS

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    Cited by:

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    2. Tianxiang Zheng & Shaopeng Liu & Zini Chen & Yuhan Qiao & Rob Law, 2020. "Forecasting Daily Room Rates on the Basis of an LSTM Model in Difficult Times of Hong Kong: Evidence from Online Distribution Channels on the Hotel Industry," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    3. Codruta Adina Baltescu, 2020. "The Relevance Of Online Reviews For The Development Of Restaurant Industry," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 42-47, February.
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    5. Xu, Xun & Lee, Chieh, 2020. "Utilizing the platform economy effect through EWOM: Does the platform matter?," International Journal of Production Economics, Elsevier, vol. 227(C).
    6. 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.
    7. Carlos Fernando Osorio-Andrade & Carlos Alberto Arango Pastrana & Augusto Rodríguez Orejuela, 2023. "Evolución de la investigación científica sobre electronic word of mouth en la industria del turismo: un análisis bibliométrico," Estudios Gerenciales, Universidad Icesi, vol. 39(166), pages 110-122, March.
    8. Čaušević Amra & Fusté-Forné Francesc, 2022. "Local Cuisine in a Tourist City: Food Identity in Sarajevo Restaurant Menus as a Source of Destination Marketing," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 12(1), pages 61-77, December.
    9. Song, Yongming & Li, Guangxu & Li, Tie & Li, Yanhong, 2021. "A purchase decision support model considering consumer personalization about aspirations and risk attitudes," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    10. Song, Yongming & Li, Yanhong & Zhu, Hongli & Li, Guangxu, 2023. "A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    11. Hong-Gang Peng & Jian-Qiang Wang, 2017. "Cloud decision model for selecting sustainable energy crop based on linguistic intuitionistic information," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(15), pages 3316-3333, November.
    12. Yadegaridehkordi, Elaheh & Nilashi, Mehrbakhsh & Nizam Bin Md Nasir, Mohd Hairul & Momtazi, Saeedeh & Samad, Sarminah & Supriyanto, Eko & Ghabban, Fahad, 2021. "Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques," Technology in Society, Elsevier, vol. 65(C).
    13. 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.
    14. Xiao-kang Wang & Sheng-hui Wang & Hong-yu Zhang & Jian-qiang Wang & Lin Li, 2021. "The Recommendation Method for Hotel Selection Under Traveller Preference Characteristics: A Cloud-Based Multi-Criteria Group Decision Support Model," Group Decision and Negotiation, Springer, vol. 30(6), pages 1433-1469, December.

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