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An Exploration of the Role of Service Recovery in Negative Electronic Word-of-Mouth Management

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  • Chul Woo Yoo

    (Florida Atlantic University)

Abstract

This study aims to investigate the factors that influence consumers’ electronic word-of-mouth (EWOM) revision behaviors and repurchase in the e-commerce context. As an overarching theory, service recovery theory is consulted and important variables, including perceived justice, service failure severity, service recovery expectation and service recovery satisfaction, are discussed to develop focal hypotheses. For the empirical testing of the proposed hypotheses, the structural equation model and measurements were designed based on relevant literature. A survey was conducted in South Korea to validate the research model. The findings illustrate that perceived justice, service failure severity and service recovery expectation significantly influence service recovery satisfaction. And it leads to intention to revise EWOM and repurchase intention. The moderating role of perceived revision request was also found in the analysis. Based on the findings, several theoretical contributions and managerial implications are discussed.

Suggested Citation

  • Chul Woo Yoo, 2020. "An Exploration of the Role of Service Recovery in Negative Electronic Word-of-Mouth Management," Information Systems Frontiers, Springer, vol. 22(3), pages 719-734, June.
  • Handle: RePEc:spr:infosf:v:22:y:2020:i:3:d:10.1007_s10796-018-9880-5
    DOI: 10.1007/s10796-018-9880-5
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    1. Weitzl, Wolfgang & Hutzinger, Clemens, 2017. "The effects of marketer- and advocate-initiated online service recovery responses on silent bystanders," Journal of Business Research, Elsevier, vol. 80(C), pages 164-175.
    2. Yap, Kenneth B. & Soetarto, Budi & Sweeney, Jillian C., 2013. "The relationship between electronic word-of-mouth motivations and message characteristics: The sender’s perspective," Australasian marketing journal, Elsevier, vol. 21(1), pages 66-74.
    3. Nanda Kumar & Izak Benbasat, 2006. "Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites," Information Systems Research, INFORMS, vol. 17(4), pages 425-439, December.
    4. Xiangbin Yan & Jing Wang & Michael Chau, 2015. "Customer revisit intention to restaurants: Evidence from online reviews," Information Systems Frontiers, Springer, vol. 17(3), pages 645-657, June.
    5. Lim, Boon C. & Chung, Cindy M.Y., 2011. "The impact of word-of-mouth communication on attribute evaluation," Journal of Business Research, Elsevier, vol. 64(1), pages 18-23, January.
    6. 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.
    7. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    8. del Río-Lanza, Ana Belén & Vázquez-Casielles, Rodolfo & Díaz-Martín, Ana M, 2009. "Satisfaction with service recovery: Perceived justice and emotional responses," Journal of Business Research, Elsevier, vol. 62(8), pages 775-781, August.
    9. Jaeung Lee & Manish Agrawal & H. R. Rao, 2015. "Message diffusion through social network service: The case of rumor and non-rumor related tweets during Boston bombing 2013," Information Systems Frontiers, Springer, vol. 17(5), pages 997-1005, October.
    10. Paul A. Pavlou & Angelika Dimoka, 2006. "The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation," Information Systems Research, INFORMS, vol. 17(4), pages 392-414, December.
    11. Hirschman, Elizabeth C, 1980. "Innovativeness, Novelty Seeking, and Consumer Creativity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 283-295, December.
    12. Gronroos, Christian, 1990. "Relationship approach to marketing in service contexts: The marketing and organizational behavior interface," Journal of Business Research, Elsevier, vol. 20(1), pages 3-11, January.
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    1. Wei Fu & Shengnan Wei & Jue Wang & Hak-Seon Kim, 2022. "Understanding the Customer Experience and Satisfaction of Casino Hotels in Busan through Online User-Generated Content," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    2. Phimai Nuansi & Piya Ngamcharoenmongkol, 2021. "Proactive Complaint Management: Effects of Customer Voice Initiation on Perceived Justices, Satisfaction, and Negative Word-of-Mouth," SAGE Open, , vol. 11(3), pages 21582440211, September.
    3. Cavdar Aksoy, Nilsah & Yazici, Nihal, 2023. "Does justice affect brand advocacy? Online brand advocacy behaviors as a response to hotel customers’ justice perceptions," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

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