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Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints

Author

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  • T. Ravichandran

    (Lally School of Management, Rensselaer Polytechnic Institute, Troy, New York 12180)

  • Chaoqun Deng

    (Paul H. Chook Department of Information Systems and Statistics, Zicklin School of Business, Baruch College, City University of New York, New York, New York 10010)

Abstract

There is limited systematic research on managerial response strategies to online customer complaints and negative reviews. In this paper, we synthesize justice theory and service recovery literature to develop a model that explores the mechanisms through which appropriate managerial responses to customer complaints influence aggregate future review valence and complaints. We test our model using data from TripAdvisor.com, a leading travel review platform. Using text analysis (e.g., natural language processing and deep learning), we extract and code the variables in our model from the reviews and the managerial responses to these reviews. Key findings indicate that responding to customer reviews—in particular, negative reviews—will have a positive influence on future review valence. Moreover, responses with more rational cues than emotional cues to customer complaints about procedural unfairness will have a positive influence on future review valence. However, responses with more rational cues than emotional cues to customer complaints about interactional unfairness will have a negative influence on future review valence. Moreover, we find that when reviews have both distributive and interactional unfairness, responses with more rational cues matter. In addition, we find that both rational cues and emotional cues in responses to distributive unfairness and rational cues in responses to procedural unfairness are effective to decrease the future occurrence of similar complaints. We interpret and discuss the implication of these findings for theory and practice.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orisre:v:34:y:2023:i:1:p:319-341
    DOI: 10.1287/isre.2022.1122
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    as
    1. Folkes, Valerie S, 1984. "Consumer Reactions to Product Failure: An Attributional Approach," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(4), pages 398-409, March.
    2. Sparks, Beverley A. & So, Kevin Kam Fung & Bradley, Graham L., 2016. "Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern," Tourism Management, Elsevier, vol. 53(C), pages 74-85.
    3. Dezhi Yin & Sabyasachi Mitra & Han Zhang, 2016. "Research Note—When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth," Information Systems Research, INFORMS, vol. 27(1), pages 131-144, March.
    4. Naveen Kumar & Liangfei Qiu & Subodha Kumar, 2018. "Exit, Voice, and Response on Digital Platforms: An Empirical Investigation of Online Management Response Strategies," Information Systems Research, INFORMS, vol. 29(4), pages 849-870, December.
    5. 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.
    6. Claeys, An-Sofie & Cauberghe, Verolien, 2014. "What makes crisis response strategies work? The impact of crisis involvement and message framing," Journal of Business Research, Elsevier, vol. 67(2), pages 182-189.
    7. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    8. Dokyun Lee & Kartik Hosanagar & Harikesh S. Nair, 2018. "Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook," Management Science, INFORMS, vol. 64(11), pages 5105-5131, November.
    9. Goodwin, Cathy & Ross, Ivan, 1992. "Consumer responses to service failures: Influence of procedural and interactional fairness perceptions," Journal of Business Research, Elsevier, vol. 25(2), pages 149-163, September.
    10. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    11. 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.
    12. Joseph J. Cabral & Chaoqun Deng & M. V. Shyam Kumar, 2020. "Internal Resource Allocation and External Alliance Activity of Diversified Firms," Journal of Management Studies, Wiley Blackwell, vol. 57(8), pages 1690-1717, December.
    13. Jane E. Dutton, 1986. "The Processing Of Crisis And Non‐Crisis Strategic Issues," Journal of Management Studies, Wiley Blackwell, vol. 23(5), pages 501-517, September.
    14. Wei Chen & Bin Gu & Qiang Ye & Kevin Xiaoguo Zhu, 2019. "Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews," Service Science, INFORMS, vol. 30(1), pages 81-96, March.
    15. Yi-Chun (Chad) Ho & Junjie Wu & Yong Tan, 2017. "Disconfirmation Effect on Online Rating Behavior: A Structural Model," Information Systems Research, INFORMS, vol. 28(3), pages 626-642, September.
    16. Mingwen Yang & Zhiqiang (Eric) Zheng & Vijay Mookerjee, 2019. "Prescribing Response Strategies to Manage Customer Opinions: A Stochastic Differential Equation Approach," Information Systems Research, INFORMS, vol. 30(2), pages 351-374, June.
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