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Impacts of sellers’ responses to online negative consumer reviews: Evidence from an agricultural product

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  • Ping Qing
  • Heng Huang
  • Amar Razzaq
  • Yifan Tang
  • Ming Tu

Abstract

Sellers’ responses to online negative consumer reviews (NCRs) have a marked effect on consumer purchasing intentions. In this study, we divide seller's responses to NCRs into two categories: rational responses and emotional responses. Through two separate studies, we examine the impact of sellers’ responses to online NCRs on consumer purchasing intention. Results reveal that product‐related NCRs reduce consumer purchasing intentions more than service‐related NCRs and having no reaction to NCRs from the sellers decreases consumer purchasing intentions. In addition, consumer trust mediates the relationship between seller's response to online NCRs and consumer purchasing intentions. The results also show that the impact on consumer purchasing intentions can be modified by the type of NCRs and sellers’ responses. In particular, rational responses will be more effective for product‐related NCRs, and for service‐related NCRs, there does not appear to exist a significant difference between the effects of rational and emotional responses. Les réponses des vendeurs aux revues en ligne négatives (RLN) des consommateurs ont un effet marqué sur les intentions d'achat des consommateurs. Dans cette étude, nous divisons les réponses du vendeur aux RLN en deux catégories: les réponses rationnelles et les réponses émotionnelles. Dans le cadre de deux études distinctes, nous examinons l'incidence des réponses des vendeurs aux RLN en ligne sur l'intention d'achat des consommateurs. Les résultats révèlent que les RLN liées aux produits réduisent davantage les intentions d'achat des consommateurs que les RLN liées aux services et que le fait de ne pas réagir aux RLN diminue les intentions d'achat des consommateurs. En outre, la confiance des consommateurs influence la relation entre la réponse du vendeur aux RLN et les intentions d'achat des consommateurs. Les résultats montrent également que l'impact sur les intentions d'achat des consommateurs peut être modifié par le type de réponses des vendeurs aux RLN. En particulier, les réponses rationnelles seront plus efficaces pour les RLN liées aux produits, alors que pour les RLN liées au service, il ne semble pas exister de différence significative entre les effets des réponses rationnelles et émotionnelles.

Suggested Citation

  • Ping Qing & Heng Huang & Amar Razzaq & Yifan Tang & Ming Tu, 2018. "Impacts of sellers’ responses to online negative consumer reviews: Evidence from an agricultural product," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(4), pages 587-597, December.
  • Handle: RePEc:bla:canjag:v:66:y:2018:i:4:p:587-597
    DOI: 10.1111/cjag.12184
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    References listed on IDEAS

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    1. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    2. Andreas I. Nicolaou & D. Harrison McKnight, 2006. "Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use," Information Systems Research, INFORMS, vol. 17(4), pages 332-351, December.
    3. Chen, Yubo & Fay, Scott & Wang, Qi, 2011. "The Role of Marketing in Social Media: How Online Consumer Reviews Evolve," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 85-94.
    4. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    5. Michael Luca, 2011. "Reviews, Reputation, and Revenue: The Case of Yelp.com," Harvard Business School Working Papers 12-016, Harvard Business School, revised Mar 2016.
    6. Dellarocas, Chrysanthos, 2004. "The Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    7. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    8. William P. Bottom & Kevin Gibson & Steven E. Daniels & J. Keith Murnighan, 2002. "When Talk Is Not Cheap: Substantive Penance and Expressions of Intent in Rebuilding Cooperation," Organization Science, INFORMS, vol. 13(5), pages 497-513, October.
    9. Sparks, Beverley A. & Browning, Victoria, 2011. "The impact of online reviews on hotel booking intentions and perception of trust," Tourism Management, Elsevier, vol. 32(6), pages 1310-1323.
    10. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    11. Paul A. Pavlou & David Gefen, 2004. "Building Effective Online Marketplaces with Institution-Based Trust," Information Systems Research, INFORMS, vol. 15(1), pages 37-59, March.
    12. Leonard-Barton, Dorothy, 1985. "Experts as Negative Opinion Leaders in the Diffusion of a Technological Innovation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 914-926, March.
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    Cited by:

    1. Xiaofei Li & Baolong Ma & Rubing Bai, 2020. "Do you respond sincerely? How sellers’ responses to online reviews affect customer relationship and repurchase intention," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-13, December.
    2. Sven Anders & Wuyang Hu, 2018. "Introduction to the special issue on food consumption and marketing in Canada, the United States, and China: An intertwined system," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(4), pages 537-538, December.
    3. Lijun Zhang & Wenlin Gao & Xiaoxiao Ma & Rongrong Gong, 2023. "Relationship between Disaster Shock Experience and Farmers’ Entrepreneurial Inclination: Crisis or Opportunity?," Agriculture, MDPI, vol. 13(7), pages 1-26, July.
    4. Kexiao Xie & Dongkai Lin & Weihan Zhu & Yongqiang Ma & Jiaxiong Qiu & Youcheng Chen & Zhidan Chen, 2023. "Analysis of Influencing Factors on the Willingness and Behavioral Consistency of Chinese Consumers to Purchase Tea via E-Commerce Platforms," Agriculture, MDPI, vol. 13(10), pages 1-17, September.
    5. Mengyao Zhang & Hasliza Hassan & Melissa Wendy Migin, 2023. "Exploring the Consumers’ Purchase Intention on Online Community Group Buying Platform during Pandemic," Sustainability, MDPI, vol. 15(3), pages 1-13, January.
    6. Adil Zia & Musaad Alzahrani & Abdullah Alomari & Fahad AlGhamdi, 2022. "Investigating the Drivers of Sustainable Consumption and Their Impact on Online Purchase Intentions for Agricultural Products," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    7. Abdelhalim R. Doeim & Thowayeb H. Hassan & Mohamed Y. Helal & Mahmoud I. Saleh & Amany E. Salem & Mohamed A. S. Elsayed, 2022. "Service Value and Repurchase Intention in the Egyptian Fast-Food Restaurants: Toward a New Measurement Model," IJERPH, MDPI, vol. 19(23), pages 1-17, November.

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