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Hospitality and Tourism Online Review Research: A Systematic Analysis and Heuristic-Systematic Model

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  • Sunyoung Hlee

    (College of Hotel and Tourism Management, Kyung Hee University, Seoul 02447, Korea)

  • Hanna Lee

    (College of Hotel and Tourism Management, Kyung Hee University, Seoul 02447, Korea)

  • Chulmo Koo

    (College of Hotel and Tourism Management, Kyung Hee University, Seoul 02447, Korea)

Abstract

With tremendous growth and potential of online consumer reviews, online reviews of hospitality and tourism are now playing a significant role in consumer attitude and buying behaviors. This study reviewed and analyzed hospitality and tourism related articles published in academic journals. The systematic approach was used to analyze 55 research articles between January 2008 and December 2017. This study presented a brief synthesis of research by investigating content-related characteristics of hospitality and tourism online reviews (HTORs) in different market segments. Two research questions were addressed. Building upon our literature analysis, we used the heuristic-systematic model (HSM) to summarize and classify the characteristics affecting consumer perception in previous HTOR studies. We believe that the framework helps researchers to identify the research topic in extended HTORs literature and to point out possible direction for future studies.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1141-:d:140412
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    References listed on IDEAS

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    1. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    2. Papathanassis, Alexis & Knolle, Friederike, 2011. "Exploring the adoption and processing of online holiday reviews: A grounded theory approach," Tourism Management, Elsevier, vol. 32(2), pages 215-224.
    3. Stephanie Watts Sussman & Wendy Schneier Siegal, 2003. "Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption," Information Systems Research, INFORMS, vol. 14(1), pages 47-65, March.
    4. 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.
    5. Dimitrios Buhalis & Aditya Amaranggana, 2015. "Smart Tourism Destinations Enhancing Tourism Experience Through Personalisation of Services," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 377-389, Springer.
    6. Shaw, Gareth & Bailey, Adrian & Williams, Allan, 2011. "Aspects of service-dominant logic and its implications for tourism management: Examples from the hotel industry," Tourism Management, Elsevier, vol. 32(2), pages 207-214.
    7. Li, Yunpeng & Hu, Clark & Huang, Chao & Duan, Liqiong, 2017. "The concept of smart tourism in the context of tourism information services," Tourism Management, Elsevier, vol. 58(C), pages 293-300.
    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. Sparks, Beverley A. & Perkins, Helen E. & Buckley, Ralf, 2013. "Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior," Tourism Management, Elsevier, vol. 39(C), pages 1-9.
    10. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    11. Elisabetta Raguseo & Claudio Vitari, 2017. "The Effect of Brand on the Impact of e-WOM on Hotels’ Financial Performance," Grenoble Ecole de Management (Post-Print) hal-02013751, HAL.
    12. Hur, Kyungsuk & Kim, Taegoo Terry & Karatepe, Osman M. & Lee, Gyehee, 2017. "An exploration of the factors influencing social media continuance usage and information sharing intentions among Korean travellers," Tourism Management, Elsevier, vol. 63(C), pages 170-178.
    13. Grissemann, Ursula S. & Stokburger-Sauer, Nicola E., 2012. "Customer co-creation of travel services: The role of company support and customer satisfaction with the co-creation performance," Tourism Management, Elsevier, vol. 33(6), pages 1483-1492.
    14. Zhang, Ziqiong & Zhang, Zili & Yang, Yang, 2016. "The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior," Tourism Management, Elsevier, vol. 55(C), pages 15-24.
    15. 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.
    16. Xiang, Zheng & Gretzel, Ulrike, 2010. "Role of social media in online travel information search," Tourism Management, Elsevier, vol. 31(2), pages 179-188.
    17. Holbrook, Morris B & Moore, William L, 1981. "Feature Interactions in Consumer Judgments of Verbal versus Pictorial Presentations," Journal of Consumer Research, Oxford University Press, vol. 8(1), pages 103-113, June.
    18. 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.
    19. Filieri, Raffaele, 2016. "What makes an online consumer review trustworthy?," Annals of Tourism Research, Elsevier, vol. 58(C), pages 46-64.
    20. Sparks, Beverley A. & Browning, Victoria, 2011. "The impact of online reviews on hotel booking intentions and perception of trust," Tourism Management, Elsevier, vol. 32(6), pages 1310-1323.
    21. Park, Sangwon & Nicolau, Juan L., 2015. "Asymmetric effects of online consumer reviews," Annals of Tourism Research, Elsevier, vol. 50(C), pages 67-83.
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