IDEAS home Printed from https://ideas.repec.org/a/spr/joamsc/v53y2025i3d10.1007_s11747-024-01061-6.html
   My bibliography  Save this article

Expressions of customer rumination in online posts and firm responses

Author

Listed:
  • Hai-Anh Tran

    (University of Manchester)

  • Yuliya Strizhakova

    (Rutgers University)

  • Bach Nguyen

    (University of Exeter Business School)

  • Samuel G. B. Johnson

    (University of Waterloo)

Abstract

When faced with service failures, customers tend to ruminate, i.e., engage in repetitive negative thoughts about service failures and their causes/consequences. Some customers express these ruminative thoughts in online posts, making the internal cognitive process of rumination publicly visible to prospective customers who read the posts. This research proposes a novel conceptualization and operationalization of customer expressions of rumination as the repetitive use of words related to (a) service failure aspects and (b) service failure causes/consequences. Across two field studies, one survey, and two experiments, this research demonstrates that rumination expressions in online posts about service failures are linked to lower sales, weaker prospective customers’ purchase intention, and more “likes” of the post. Responses expressing empathetic apologies are more effective in handling rumination expressions about service failure aspects, whereas responses mentioning compensation are more effective in handling rumination expressions about service failure causes/consequences. We urge managers to recognize the visibility and harmfulness of rumination expressions in digital outlets and provide solutions to minimize their damage.

Suggested Citation

  • Hai-Anh Tran & Yuliya Strizhakova & Bach Nguyen & Samuel G. B. Johnson, 2025. "Expressions of customer rumination in online posts and firm responses," Journal of the Academy of Marketing Science, Springer, vol. 53(3), pages 825-853, May.
  • Handle: RePEc:spr:joamsc:v:53:y:2025:i:3:d:10.1007_s11747-024-01061-6
    DOI: 10.1007/s11747-024-01061-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11747-024-01061-6
    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/s11747-024-01061-6?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Reimer, Thomas & Benkenstein, Martin, 2016. "When good WOM hurts and bad WOM gains: The effect of untrustworthy online reviews," Journal of Business Research, Elsevier, vol. 69(12), pages 5993-6001.
    2. T. Ravichandran & Chaoqun Deng, 2023. "Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints," Information Systems Research, INFORMS, vol. 34(1), pages 319-341, March.
    3. Holger Roschk & Susanne Kaiser, 2013. "The nature of an apology: An experimental study on how to apologize after a service failure," Marketing Letters, Springer, vol. 24(3), pages 293-309, September.
    4. Axel v. Werder, 1999. "Argumentation Rationality of Management Decisions," Organization Science, INFORMS, vol. 10(5), pages 672-690, October.
    5. Uri Gneezy & Stephan Meier & Pedro Rey-Biel, 2011. "When and Why Incentives (Don't) Work to Modify Behavior," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 191-210, Fall.
    6. Joireman, Jeff & Grégoire, Yany & Devezer, Berna & Tripp, Thomas M., 2013. "When do customers offer firms a “second chance” following a double deviation? The impact of inferred firm motives on customer revenge and reconciliation," Journal of Retailing, Elsevier, vol. 89(3), pages 315-337.
    7. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    8. R. Filieri & Elisabetta Raguseo & Claudio Vitari, 2019. "What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics," Post-Print hal-04779104, HAL.
    9. McColl-Kennedy, Janet R. & Sparks, Beverley A. & Nguyen, Doan T., 2011. "Customer's angry voice: Targeting employees or the organization?," Journal of Business Research, Elsevier, vol. 64(7), pages 707-713, July.
    10. Davide Proserpio & Georgios Zervas, 2017. "Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews," Marketing Science, INFORMS, vol. 36(5), pages 645-665, September.
    11. Saul Estrin & Julia Korosteleva & Tomasz Mickiewicz, 2022. "Schumpeterian Entry: Innovation, Exporting, and Growth Aspirations of Entrepreneurs," Entrepreneurship Theory and Practice, , vol. 46(2), pages 269-296, March.
    12. Christine Porath & Debbie Macinnis & Valerie Folkes, 2010. "Witnessing Incivility among Employees: Effects on Consumer Anger and Negative Inferences about Companies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 292-303, August.
    13. 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.
    14. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2019. "What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics," Post-Print hal-03511270, HAL.
    15. A. Peter McGraw & Caleb Warren & Christina Kan, 2015. "Humorous Complaining," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(5), pages 1153-1171.
    16. Quentin Jones & Gilad Ravid & Sheizaf Rafaeli, 2004. "Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration," Information Systems Research, INFORMS, vol. 15(2), pages 194-210, June.
    17. Relling, Marleen & Schnittka, Oliver & Sattler, Henrik & Johnen, Marius, 2016. "Each can help or hurt: Negative and positive word of mouth in social network brand communities," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 42-58.
    18. 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.
    19. Hartmann, Jochen & Heitmann, Mark & Siebert, Christian & Schamp, Christina, 2023. "More than a Feeling: Accuracy and Application of Sentiment Analysis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 75-87.
    20. Hollenbeck, Brett, 2018. "Online Reputation Mechanisms and the Decreasing Value of Chain Affliation," MPRA Paper 91573, University Library of Munich, Germany.
    21. Marius Johnen & Oliver Schnittka, 2019. "When pushing back is good: the effectiveness of brand responses to social media complaints," Journal of the Academy of Marketing Science, Springer, vol. 47(5), pages 858-878, September.
    22. Monika Lisjak & Andrea Bonezzi & Soo Kim & Derek D. Rucker, 2015. "Perils of Compensatory Consumption: Within-Domain Compensation Undermines Subsequent Self-Regulation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(5), pages 1186-1203.
    23. van Noort, Guda & Willemsen, Lotte M., 2012. "Online Damage Control: The Effects of Proactive Versus Reactive Webcare Interventions in Consumer-generated and Brand-generated Platforms," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 131-140.
    24. Judith A. Chevalier & Yaniv Dover & Dina MayzlinDina Mayzlin, 2018. "Channels of Impact: User Reviews When Quality Is Dynamic and Managers Respond," Marketing Science, INFORMS, vol. 37(5), pages 688-709, September.
    25. Sarah G. Moore, 2015. "Attitude Predictability and Helpfulness in Online Reviews: The Role of Explained Actions and Reactions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 42(1), pages 30-44.
    26. Jan-Michael Becker & Dorian Proksch & Christian M. Ringle, 2022. "Revisiting Gaussian copulas to handle endogenous regressors," Journal of the Academy of Marketing Science, Springer, vol. 50(1), pages 46-66, January.
    27. 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.
    Full references (including those not matched with items on IDEAS)

    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. Mansur Khamitov & Yany Grégoire & Anshu Suri, 2020. "A systematic review of brand transgression, service failure recovery and product-harm crisis: integration and guiding insights," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 519-542, May.
    2. Jana Kim Gutt & Karin Knorr, 2025. "Factors Influencing Organizations’ Responses on Employer Review Platforms," Working Papers Dissertations 133, Paderborn University, Faculty of Business Administration and Economics.
    3. Uttara Ananthakrishnan & Davide Proserpio & Siddhartha Sharma, 2023. "I Hear You: Does Quality Improve with Customer Voice?," Marketing Science, INFORMS, vol. 42(6), pages 1143-1161, November.
    4. Erfan Rezvani & Christian Rojas, 2022. "Firm responsiveness to consumers' reviews: The effect on online reputation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 898-922, November.
    5. Surachartkumtonkun, Jiraporn (Nui) & Grace, Debra & Ross, Mitchell, 2021. "Unfair customer reviews: Third-party perceptions and managerial responses," Journal of Business Research, Elsevier, vol. 132(C), pages 631-640.
    6. Ao Shen & Peng Wang & Yongyuan Ma, 2022. "When crowding‐in and when crowding‐out? The boundary conditions on the relationship between negative online reviews and online sales," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2016-2032, September.
    7. 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.
    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. Stuhldreier, Sanja Maria, 2024. "Unlocking (re)purchase potential through corporate responsiveness on social networks: The role of perceived customer orientation," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    10. Marius Johnen & Oliver Schnittka, 2019. "When pushing back is good: the effectiveness of brand responses to social media complaints," Journal of the Academy of Marketing Science, Springer, vol. 47(5), pages 858-878, September.
    11. Mardumyan, Anna & Siret, Iris, 2023. "When review verification does more harm than good: How certified reviews determine customer–brand relationship quality," Journal of Business Research, Elsevier, vol. 160(C).
    12. Jianwei Liu & Karen Xie & Wei Chen & Yong Liu & Yunlong Sun, 2023. "How incumbents beat disruption? Evidence from hotel responses to home sharing," Production and Operations Management, Production and Operations Management Society, vol. 32(9), pages 2758-2774, September.
    13. Zhao, Yan & Wen, Lingling & Feng, Xiangnan & Li, Ran & Lin, Xiaolin, 2020. "How managerial responses to online reviews affect customer satisfaction: An empirical study based on additional reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    14. Warut Khern-am-nuai & Hossein Ghasemkhani & Dandan Qiao & Karthik Kannan, 2024. "The Impact of Online Q&As on Product Sales: The Case of Amazon Answer," Information Systems Research, INFORMS, vol. 35(2), pages 747-765, June.
    15. Dhaoui, Chedia & Webster, Cynthia M., 2021. "Brand and consumer engagement behaviors on Facebook brand pages: Let's have a (positive) conversation," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 155-175.
    16. Mengmeng Zhan & Liping Liu & Xiaoxue Wang & Ran Ju, 2025. "The role of explained actions and reactions in the helpfulness of online reviews," Electronic Commerce Research, Springer, vol. 25(3), pages 2067-2096, June.
    17. Saram Han & Christopher K. Anderson & Kyunghwa Chung, 2023. "Do managerial communications improve customer satisfaction and eWOM? The moderating effect of response authenticity," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    18. Liting Li & Haichao Zheng & Dongyu Chen & Bin Zhu, 2024. "Whose reviews are most valuable for predicting the default risk of peer-to-peer lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 24(3), pages 1619-1658, September.
    19. Chan, Haksin & Yang, Morgan X. & Zeng, Kevin J., 2022. "Bolstering ratings and reviews systems on multi-sided platforms: A co-creation perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 208-217.
    20. Wei Chen & Karen Xie & Jianwei Liu & Yong Liu, 2019. "How Incumbents Beat Disruptors? Evidence from Hotels’ Responses to Home-sharing Rivals," Working Papers 19-11, NET Institute.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:53:y:2025:i:3:d:10.1007_s11747-024-01061-6. 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.