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When review verification does more harm than good: How certified reviews determine customer–brand relationship quality

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  • Mardumyan, Anna
  • Siret, Iris

Abstract

Faced with the mistrust of consumers toward customer reviews due to the multiplication of scandals involving fake reviews, review verification systems offer a solution to reassure Internet users. However, their effectiveness raises questions. Based on the Elaboration Likelihood Model and signaling theory, this research examines the moderating effect of review verification on the relationship between review valence and customers’ behavioral intentions toward brands. With data from 9,219 online reviews and two survey–based designs, the authors highlight the existence of a “dark side” of verification systems. Results specifically reveal that perceived manipulative intentions of firms lead to weaker perceived credibility of reviews when they include verification badges and, consequently, diminish the effect of review valence on customers’ behavioral intentions toward brands.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:jbrese:v:160:y:2023:i:c:s0148296323001145
    DOI: 10.1016/j.jbusres.2023.113756
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    as
    1. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    2. Andreas Munzel, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Post-Print hal-02423574, HAL.
    3. 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.
    4. Munzel, Andreas, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 96-108.
    5. Carolina Werle & Caroline Cuny, 2012. "The boomerang effect of mandatory sanitary messages to prevent obesity," Marketing Letters, Springer, vol. 23(3), pages 883-891, September.
    6. Bigne, Enrique & Ruiz, Carla & Curras-Perez, Rafael, 2019. "Destination appeal through digitalized comments," Journal of Business Research, Elsevier, vol. 101(C), pages 447-453.
    7. Douadia Bougherara & Gilles Grolleau & Naoufel Mzoughi, 2007. "Is more information always better? An analysis applied to information-based policies for environmental protection," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 10(3), pages 197-213.
    8. Floyd, Kristopher & Freling, Ryan & Alhoqail, Saad & Cho, Hyun Young & Freling, Traci, 2014. "How Online Product Reviews Affect Retail Sales: A Meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 217-232.
    9. Joseph K. Goodman & Gabriele Paolacci, 2017. "Crowdsourcing Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(1), pages 196-210.
    10. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    11. Zhuang, Mengzhou & Cui, Geng & Peng, Ling, 2018. "Manufactured opinions: The effect of manipulating online product reviews," Journal of Business Research, Elsevier, vol. 87(C), pages 24-35.
    12. Bi, Sheng & Liu, Zhiying & Usman, Khalid, 2017. "The influence of online information on investing decisions of reward-based crowdfunding," Journal of Business Research, Elsevier, vol. 71(C), pages 10-18.
    13. 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.
    14. Manes, Eran & Tchetchik, Anat, 2018. "The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking," Journal of Business Research, Elsevier, vol. 85(C), pages 185-196.
    15. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    16. Bloom, Paul N. & Reve, Torger, 1990. "Transmitting signals to consumers for competitive advantage," Business Horizons, Elsevier, vol. 33(4), pages 58-66.
    17. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.
    18. Riley, John G., 1975. "Competitive signalling," Journal of Economic Theory, Elsevier, vol. 10(2), pages 174-186, April.
    19. Stefan Gössling & C. Michael Hall & Ann-Christin Andersson, 2018. "The manager's dilemma: a conceptualization of online review manipulation strategies," Current Issues in Tourism, Taylor & Francis Journals, vol. 21(5), pages 484-503, March.
    20. Sparks, Beverley A. & Perkins, Helen E. & Buckley, Ralf, 2013. "Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior," Tourism Management, Elsevier, vol. 39(C), pages 1-9.
    21. Umit G. Gurun & Alexander W. Butler, 2012. "Don't Believe the Hype: Local Media Slant, Local Advertising, and Firm Value," Journal of Finance, American Finance Association, vol. 67(2), pages 561-598, April.
    22. Kaushik, Kapil & Mishra, Rajhans & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.in," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 21-32.
    23. Purnawirawan, Nathalia & Eisend, Martin & De Pelsmacker, Patrick & Dens, Nathalie, 2015. "A Meta-analytic Investigation of the Role of Valence in Online Reviews," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 17-27.
    24. Cotte, June & Coulter, Robin A. & Moore, Melissa, 2005. "Enhancing or disrupting guilt: the role of ad credibility and perceived manipulative intent," Journal of Business Research, Elsevier, vol. 58(3), pages 361-368, March.
    25. 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.
    26. Fan, Zhi-Ping & Che, Yu-Jie & Chen, Zhen-Yu, 2017. "Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis," Journal of Business Research, Elsevier, vol. 74(C), pages 90-100.
    27. Andreas Munzel, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Post-Print halshs-01522497, HAL.
    28. Palan, Stefan & Schitter, Christian, 2018. "Prolific.ac—A subject pool for online experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 22-27.
    29. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    30. Michael Luca & Georgios Zervas, 2016. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Management Science, INFORMS, vol. 62(12), pages 3412-3427, December.
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