IDEAS home Printed from https://ideas.repec.org/a/oup/jconrs/v46y2019i2p267-285..html
   My bibliography  Save this article

What Happens in Vegas Stays on TripAdvisor? A Theory and Technique to Understand Narrativity in Consumer Reviews

Author

Listed:
  • Tom van Laer
  • Jennifer Edson Escalas
  • Stephan Ludwig
  • Ellis A van den Hende
  • Gita V Johar
  • J Jeffrey Inman
  • Paul M Herr

Abstract

Many consumers base their purchase decisions on online consumer reviews. An overlooked feature of these texts is their narrativity: the extent to which they tell a story. The authors construct a new theory of narrativity to link the narrative content and discourse of consumer reviews to consumer behavior. They also develop from scratch a computerized technique that reliably determines the degree of narrativity of 190,461 verbatim, online consumer reviews and validate the automated text analysis with two controlled experiments. More transporting (i.e., engaging) and persuasive reviews have better-developed characters and events as well as more emotionally changing genres and dramatic event orders. This interdisciplinary, multimethod research should help future researchers (1) predict how narrativity affects consumers’ narrative transportation and persuasion, (2) measure the narrativity of large digital corpora of textual data, and (3) understand how this important linguistic feature varies along a continuum.

Suggested Citation

  • Tom van Laer & Jennifer Edson Escalas & Stephan Ludwig & Ellis A van den Hende & Gita V Johar & J Jeffrey Inman & Paul M Herr, 2019. "What Happens in Vegas Stays on TripAdvisor? A Theory and Technique to Understand Narrativity in Consumer Reviews," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(2), pages 267-285.
  • Handle: RePEc:oup:jconrs:v:46:y:2019:i:2:p:267-285.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/jcr/ucy067
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Soumya Mukhopadhyay & V Kumar & Amalesh Sharma & Tuck Siong Chung, 2022. "Impact of review narrativity on sales in a competitive environment," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2538-2556, June.
    2. Meek, Stephanie & Wilk, Violetta & Lambert, Claire, 2021. "A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews," Journal of Business Research, Elsevier, vol. 125(C), pages 354-367.
    3. Cao, Xinyue & Qu, Zhirui & Liu, Yan & Hu, JiaJing, 2021. "How the destination short video affects the customers' attitude: The role of narrative transportation," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    4. Eric Arnould & David Crockett & Giana Eckhardt, 2021. "Informing marketing theory through consumer culture theoretics," AMS Review, Springer;Academy of Marketing Science, vol. 11(1), pages 1-8, June.
    5. Wang, Fei & Xu, Haifeng & Hou, Ronglin & Zhu, Zhen, 2023. "Designing marketing content for social commerce to drive consumer purchase behaviors: A perspective from speech act theory," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    6. Alantari, Huwail J. & Currim, Imran S. & Deng, Yiting & Singh, Sameer, 2022. "An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 1-19.
    7. Grewal, Dhruv & Herhausen, Dennis & Ludwig, Stephan & Villarroel Ordenes, Francisco, 2022. "The Future of Digital Communication Research: Considering Dynamics and Multimodality," Journal of Retailing, Elsevier, vol. 98(2), pages 224-240.
    8. Aleti, Torgeir & Pallant, Jason I. & Tuan, Annamaria & van Laer, Tom, 2019. "Tweeting with the Stars: Automated Text Analysis of the Effect of Celebrity Social Media Communications on Consumer Word of Mouth," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 17-32.
    9. Bertele, Kerrie & Feiereisen, Stephanie & Storey, Chris & van Laer, Tom, 2020. "It’s not what you say, it’s the way you say it! Effective message styles for promoting innovative new services," Journal of Business Research, Elsevier, vol. 107(C), pages 38-49.
    10. repec:oup:jconrs:v:49:y:2023:i:5:p:904-925. is not listed on IDEAS
    11. Dessart, Laurence & Standaert, Willem, 2023. "Strategic storytelling in the age of sustainability," Business Horizons, Elsevier, vol. 66(3), pages 371-385.

    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:oup:jconrs:v:46:y:2019:i:2:p:267-285.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://academic.oup.com/jcr .

    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.