IDEAS home Printed from https://ideas.repec.org/a/eee/anture/v92y2022ics0160738321001250.html
   My bibliography  Save this article

Effects of official versus online review ratings

Author

Listed:
  • Ghimire, Binam
  • Shanaev, Savva
  • Lin, Zhibin

Abstract

•Both official and online review ratings have a positive impact on the clientele.•The impact of online review ratings is higher than that of the official one.•Highly rated restaurants can attract more customers and may charge higher prices.

Suggested Citation

  • Ghimire, Binam & Shanaev, Savva & Lin, Zhibin, 2022. "Effects of official versus online review ratings," Annals of Tourism Research, Elsevier, vol. 92(C).
  • Handle: RePEc:eee:anture:v:92:y:2022:i:c:s0160738321001250
    DOI: 10.1016/j.annals.2021.103247
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160738321001250
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.annals.2021.103247?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    2. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    3. Park, Sangwon & Nicolau, Juan L., 2015. "Asymmetric effects of online consumer reviews," Annals of Tourism Research, Elsevier, vol. 50(C), pages 67-83.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miller, Chad A. & Wilkins, Clara L. & de Paula Couto, Clara & Farias, Jéssica & Lisnek, Jaclyn A., 2023. "Anti-Black attitudes predict decreased concern about COVID-19 among Whites in the U.S. and Brazil," Social Science & Medicine, Elsevier, vol. 320(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oun-Joung Park & Jong-hyun Ryu, 2019. "Cognitive fit effects of online reviews on tourists’ information search," Information Technology & Tourism, Springer, vol. 21(3), pages 313-335, September.
    2. Arenas-Márquez, F.J. & Martínez-Torres, M.R. & Toral, S.L., 2021. "How can trustworthy influencers be identified in electronic word-of-mouth communities?," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Lien Thi Kim Nguyen & Hao-Hsuan Chung & Kristine Velasquez Tuliao & Tom M. Y. Lin, 2020. "Using XGBoost and Skip-Gram Model to Predict Online Review Popularity," SAGE Open, , vol. 10(4), pages 21582440209, December.
    4. David Butler & Daniel Read, 2021. "Unravelling Theory: Strategic (Non-) Disclosure of Online Ratings," Games, MDPI, vol. 12(4), pages 1-20, September.
    5. Colmekcioglu, Nazan & Marvi, Reza & Foroudi, Pantea & Okumus, Fevzi, 2022. "Generation, susceptibility, and response regarding negativity: An in-depth analysis on negative online reviews," Journal of Business Research, Elsevier, vol. 153(C), pages 235-250.
    6. Babajide Abubakr Muritala & Maria-Victoria Sánchez-Rebull & Ana-Beatriz Hernández-Lara, 2020. "A Bibliometric Analysis of Online Reviews Research in Tourism and Hospitality," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    7. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Grenoble Ecole de Management (Post-Print) halshs-01923243, HAL.
    8. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    9. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    10. 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.
    11. Yani Wang & Jun Wang & Tang Yao, 2019. "What makes a helpful online review? A meta-analysis of review characteristics," Electronic Commerce Research, Springer, vol. 19(2), pages 257-284, June.
    12. Taekyung Kim & Hwirim Jo & Yerin Yhee & Chulmo Koo, 2022. "Robots, artificial intelligence, and service automation (RAISA) in hospitality: sentiment analysis of YouTube streaming data," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 259-275, March.
    13. Pera, Rebecca & Viglia, Giampaolo & Grazzini, Laura & Dalli, Daniele, 2019. "When empathy prevents negative reviewing behavior," Annals of Tourism Research, Elsevier, vol. 75(C), pages 265-278.
    14. Zajadacz Alina & Minkwitz Aleksandra, 2020. "Using Social Media Data to Plan for Tourism," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 125-138, September.
    15. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Post-Print halshs-01923243, HAL.
    16. Kübler, Raoul V. & Lobschat, Lara & Welke, Lina & van der Meij, Hugo, 2024. "The effect of review images on review helpfulness: A contingency approach," Journal of Retailing, Elsevier, vol. 100(1), pages 5-23.
    17. Zheng, Lili, 2021. "The classification of online consumer reviews: A systematic literature review and integrative framework," Journal of Business Research, Elsevier, vol. 135(C), pages 226-251.
    18. Liang, Sai & Li, Hui & Liu, Xianwei & Schuckert, Markus, 2019. "Motivators behind information disclosure: Evidence from Airbnb hosts," Annals of Tourism Research, Elsevier, vol. 76(C), pages 305-319.
    19. Liu, Xianwei & Law, Rob & Xu, Yukuan, 2019. "Does identity disclosure affect review extremity?," Annals of Tourism Research, Elsevier, vol. 77(C), pages 171-174.
    20. Srikanth Parameswaran & Pubali Mukherjee & Rohit Valecha, 2023. "I Like My Anonymity: An Empirical Investigation of the Effect of Multidimensional Review Text and Role Anonymity on Helpfulness of Employer Reviews," Information Systems Frontiers, Springer, vol. 25(2), pages 853-870, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:anture:v:92:y:2022:i:c:s0160738321001250. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/annals-of-tourism-research/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.