IDEAS home Printed from https://ideas.repec.org/a/spr/joamsc/v46y2018i6d10.1007_s11747-018-0585-6.html
   My bibliography  Save this article

The emotional review–reward effect: how do reviews increase impulsivity?

Author

Listed:
  • Scott Motyka

    (Keck Graduate Institute)

  • Dhruv Grewal

    (Babson College)

  • Elizabeth Aguirre

    (Doriel Juvenile)

  • Dominik Mahr

    (Maastricht University)

  • Ko Ruyter

    (City University London
    UNSW Business School, UNSW Sydney)

  • Martin Wetzels

    (Maastricht University
    Waikato Management School, The University of Waikato)

Abstract

A growing reliance on customer reviews prompts firms to develop strategies to encourage customers to post online reviews of their products. However, little research investigates the behavioral consequences of writing a review. The act of sharing personal opinions through reviews is a rewarding experience and makes customers feel socially connected. With an application of reverse alliesthesia theory, the current study predicts that such rewarding experiences drive online reviewers to seek other rewards, such as impulsive buying. Three lab-based and two field studies demonstrate such an emotional review–reward effect: sharing emotional information in the public realm of customer reviews, rather than forming similar opinions privately, drives participants to make more impulsive buying decisions.

Suggested Citation

  • Scott Motyka & Dhruv Grewal & Elizabeth Aguirre & Dominik Mahr & Ko Ruyter & Martin Wetzels, 2018. "The emotional review–reward effect: how do reviews increase impulsivity?," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1032-1051, November.
  • Handle: RePEc:spr:joamsc:v:46:y:2018:i:6:d:10.1007_s11747-018-0585-6
    DOI: 10.1007/s11747-018-0585-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11747-018-0585-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11747-018-0585-6?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. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    2. Xiuping Li, 2008. "The Effects of Appetitive Stimuli on Out-of-Domain Consumption Impatience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(5), pages 649-656, August.
    3. Keith Wilcox & Thomas Kramer & Sankar Sen, 2011. "Indulgence or Self-Control: A Dual Process Model of the Effect of Incidental Pride on Indulgent Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(1), pages 151-163.
    4. Jonah Berger & Alan T. Sorensen & Scott J. Rasmussen, 2010. "Positive Effects of Negative Publicity: When Negative Reviews Increase Sales," Marketing Science, INFORMS, vol. 29(5), pages 815-827, 09-10.
    5. Bram Van den Bergh & Siegfried Dewitte & Luk Warlop, 2008. "Bikinis Instigate Generalized Impatience in Intertemporal Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(1), pages 85-97, January.
    6. Andreoni, James, 1990. "Impure Altruism and Donations to Public Goods: A Theory of Warm-Glow Giving?," Economic Journal, Royal Economic Society, vol. 100(401), pages 464-477, June.
    7. Stephen X. He & Samuel D. Bond, 2015. "Why Is the Crowd Divided? Attribution for Dispersion in Online Word of Mouth," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(6), pages 1509-1527.
    8. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
    9. Frank May & Caglar Irmak, 2014. "Licensing Indulgence in the Present by Distorting Memories of Past Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(3), pages 624-641.
    10. Kristine de Valck & Roberts V. Kozinets & Andrea C. Wojnicki & Sarah J.S. Wilner, 2010. "Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities," Post-Print hal-00458424, HAL.
    11. Pan, Yue & Zhang, Jason Q., 2011. "Born Unequal: A Study of the Helpfulness of User-Generated Product Reviews," Journal of Retailing, Elsevier, vol. 87(4), pages 598-612.
    12. Seshadri Tirunillai & Gerard J. Tellis, 2012. "Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance," Marketing Science, INFORMS, vol. 31(2), pages 198-215, March.
    13. Kathleen D. Vohs & Ronald J. Faber, 2007. "Spent Resources: Self-Regulatory Resource Availability Affects Impulse Buying," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(4), pages 537-547, January.
    14. Olivier Toubia & Andrew T. Stephen, 2013. "Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?," Marketing Science, INFORMS, vol. 32(3), pages 368-392, May.
    15. Anthony Salerno & Juliano Laran & Chris Janiszewski, 2014. "Hedonic Eating Goals and Emotion: When Sadness Decreases the Desire to Indulge," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(1), pages 135-151.
    16. Monika Lisjak & Angela Y. Lee, 2014. "The Bright Side of Impulse: Depletion Heightens Self-Protective Behavior in the Face of Danger," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(1), pages 55-70.
    17. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    18. Wendy W. Moe & David A. Schweidel, 2012. "Online Product Opinions: Incidence, Evaluation, and Evolution," Marketing Science, INFORMS, vol. 31(3), pages 372-386, May.
    19. Rook, Dennis W & Fisher, Robert J, 1995. "Normative Influences on Impulsive Buying Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(3), pages 305-313, December.
    20. Dhruv Grewal & Nancy Puccinelli & Kent B. Monroe, 2018. "Meta-analysis: integrating accumulated knowledge," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 9-30, January.
    21. Ann Kronrod & Shai Danziger, 2013. ""Wii Will Rock You!" The Use and Effect of Figurative Language in Consumer Reviews of Hedonic and Utilitarian Consumption," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(4), pages 726-739.
    22. Keith Wilcox & Beth Vallen & Lauren Block & Gavan J. Fitzsimons, 2009. "Vicarious Goal Fulfillment: When the Mere Presence of a Healthy Option Leads to an Ironically Indulgent Decision," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(3), pages 380-393.
    23. Sandra J. Milberg & Francisca Sinn & Ronald C. Goodstein, 2010. "Consumer Reactions to Brand Extensions in a Competitive Context: Does Fit Still Matter?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(3), pages 543-553, October.
    24. Keith Wilcox & Andrew T. Stephen, 2013. "Are Close Friends the Enemy? Online Social Networks, Self-Esteem, and Self-Control," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(1), pages 90-103.
    25. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
    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. Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao & P. K. Kannan, 2020. "Emerging technologies and analytics for a new era of value-centered marketing in healthcare," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 9-23, January.
    2. Dr. Irene Samanta & Dr. Panagiotis Kaldis & Konstantinos Papageorgiou, 2022. "Consumer’s Engagement in Social Media and Implications in Trusting e-Word of Mouth," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 12(1), pages 37-48.
    3. Kwangchul Ji & Hong-Youl Ha, 2021. "An Empirical Test of Mobile Service Provider Promotions on Repurchase Intentions," Sustainability, MDPI, vol. 13(5), pages 1-13, March.
    4. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    5. Guha, Abhijit & Grewal, Dhruv & Kopalle, Praveen K. & Haenlein, Michael & Schneider, Matthew J. & Jung, Hyunseok & Moustafa, Rida & Hegde, Dinesh R. & Hawkins, Gary, 2021. "How artificial intelligence will affect the future of retailing," Journal of Retailing, Elsevier, vol. 97(1), pages 28-41.

    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. Boegershausen, Johannes & Datta, Hannes & Borah, Abhishek & Stephen, Andrew, 2022. "Fields of Gold: Web Scraping and APIs for Impactful Marketing Insights," Other publications TiSEM 5f1ed70a-48c3-422c-bc10-0, Tilburg University, School of Economics and Management.
    2. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    3. Agnieszka Zablocki & Bodo Schlegelmilch & Michael J. Houston, 2019. "How valence, volume and variance of online reviews influence brand attitudes," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 61-77, June.
    4. Bitty Balducci & Detelina Marinova, 2018. "Unstructured data in marketing," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 557-590, July.
    5. King, Robert Allen & Racherla, Pradeep & Bush, Victoria D., 2014. "What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 167-183.
    6. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    7. Xiao Liu & Param Vir Singh & Kannan Srinivasan, 2016. "A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing," Marketing Science, INFORMS, vol. 35(3), pages 363-388, May.
    8. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    9. Oded Netzer & Ronen Feldman & Jacob Goldenberg & Moshe Fresko, 2012. "Mine Your Own Business: Market-Structure Surveillance Through Text Mining," Marketing Science, INFORMS, vol. 31(3), pages 521-543, May.
    10. Christof Naumzik & Stefan Feuerriegel & Markus Weinmann, 2022. "I Will Survive: Predicting Business Failures from Customer Ratings," Marketing Science, INFORMS, vol. 41(1), pages 188-207, January.
    11. Peters, Kay & Chen, Yubo & Kaplan, Andreas M. & Ognibeni, Björn & Pauwels, Koen, 2013. "Social Media Metrics — A Framework and Guidelines for Managing Social Media," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 281-298.
    12. Liye Ma & Baohong Sun & Sunder Kekre, 2015. "The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter," Marketing Science, INFORMS, vol. 34(5), pages 627-645, September.
    13. Xingyu Chen & Xing Li & Dai Yao & Zhimin Zhou, 2019. "Seeking the support of the silent majority: are lurking users valuable to UGC platforms?," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 986-1004, November.
    14. Soumya Mukhopadhyay, 2018. "Opinion mining in management research: the state of the art and the way forward," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 221-250, June.
    15. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.
    16. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    17. Liu, Fu & Wei, Haiying & Wang, Xingyuan & Zhu, Zhenzhong & Chen, Haipeng Allan, 2023. "The influence of online review dispersion on consumers’ purchase intention: The moderating role of dialectical thinking," Journal of Business Research, Elsevier, vol. 165(C).
    18. Carlson, Keith & Kopalle, Praveen K. & Riddell, Allen & Rockmore, Daniel & Vana, Prasad, 2023. "Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 54-74.
    19. Pauwels, Koen & Aksehirli, Zeynep & Lackman, Andrew, 2016. "Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 639-655.
    20. Antioco, Michael & Coussement, Kristof, 2018. "Misreading of consumer dissatisfaction in online product reviews: Writing style as a cause for bias," International Journal of Information Management, Elsevier, vol. 38(1), pages 301-310.

    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:spr:joamsc:v:46:y:2018:i:6:d:10.1007_s11747-018-0585-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.