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What makes an online consumer review trustworthy?

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  • Filieri, Raffaele

Abstract

Online consumer reviews (OCRs) are increasingly used by consumers to make informed decisions about tourism-related products. However, there is an increase in concern about the level of trustworthiness of OCRs. As yet, little is known about how consumers assess trustworthiness and untrustworthiness of OCRs. This study aims to fill this gap by using a grounded theory approach based on 38 interviews with users of OCRs. Results show that consumers primarily use cues related to the message content and style and review extremity and valence to assess trustworthiness. Findings indicate that moderating variables such as consumer involvement and experience as well as the type of website affects the way consumers assess trustworthiness. Reviews perceived as untrustworthy are discounted by consumers.

Suggested Citation

  • Filieri, Raffaele, 2016. "What makes an online consumer review trustworthy?," Annals of Tourism Research, Elsevier, vol. 58(C), pages 46-64.
    • Handle: RePEc:eee:anture:v:58:y:2016:i:c:p:46-64
    DOI: 10.1016/j.annals.2015.12.019
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    References listed on IDEAS

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    1. 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.
    2. Chrysanthos Dellarocas, 2006. "Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms," Management Science, INFORMS, vol. 52(10), pages 1577-1593, October.
    3. Herr, Paul M & Kardes, Frank R & Kim, John, 1991. "Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 454-462, March.
    4. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    5. Filieri, Raffaele & Alguezaui, Salma & McLeay, Fraser, 2015. "Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth," Tourism Management, Elsevier, vol. 51(C), pages 174-185.
    6. Beatty, Sharon E & Smith, Scott M, 1987. "External Search Effort: An Investigation across Several Product Categories," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(1), pages 83-95, June.
    7. C. Nadine Wathen & Jacquelyn Burkell, 2002. "Believe it or not: Factors influencing credibility on the Web," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(2), pages 134-144.
    8. 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.
    9. 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)

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