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Seize the Day: How Online Retailers Should Respond to Positive Reviews

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  • Wu, Jintao
  • Wu, Tong
  • Schlegelmilch, Bodo B.

Abstract

Research on online retailer–customer interactions has extensively focused on how to turn negative reviews into marketing wins. By contrast, few prior studies have investigated how retailers should best respond to positive reviews. The current study aims to fill this gap. Drawing on interpersonal relationship research into capitalizing on positive experience, together with reinforcement effect theory and automatic behavioral priming theory, this study explores how retailers should respond to positive reviews to drive consumer repurchase intention. Two laboratory experiments reveal that an active–constructive response in a friendly communication style increases consumer repurchase intention, and consumer positive affect mediates this process. Our findings provide new theoretical insights and useful guidance for retailers on designing effective online communication strategies for consumers.

Suggested Citation

  • Wu, Jintao & Wu, Tong & Schlegelmilch, Bodo B., 2020. "Seize the Day: How Online Retailers Should Respond to Positive Reviews," Journal of Interactive Marketing, Elsevier, vol. 52(C), pages 52-60.
    • Handle: RePEc:eee:joinma:v:52:y:2020:i:c:p:52-60
    DOI: 10.1016/j.intmar.2020.04.008
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    References listed on IDEAS

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    1. 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.
    2. Liye Ma & Baohong Sun & Sunder Kekre, 2015. "The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter," Marketing Science, INFORMS, vol. 34(5), pages 627-645, September.
    3. Jintao Wu & Junsong Chen & Wenyu Dou, 2017. "The Internet of Things and interaction style : the effect of smart interaction on brand attachment," Post-Print hal-02312314, HAL.
    4. de Vries, Lisette & Gensler, Sonja & Leeflang, Peter S.H., 2012. "Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 83-91.
    5. Pankaj Aggarwal & Ann L. Mcgill, 2012. "When Brands Seem Human, Do Humans Act Like Brands? Automatic Behavioral Priming Effects of Brand Anthropomorphism," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(2), pages 307-323.
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    Cited by:

    1. Ghouri, Arsalan Mujahid & Mani, Venkatesh & Haq, Mirza Amin ul & Kamble, Sachin S., 2022. "The micro foundations of social media use: Artificial intelligence integrated routine model," Journal of Business Research, Elsevier, vol. 144(C), pages 80-92.
    2. Nazir, Sajjad & Khadim, Sahar & Ali Asadullah, Muhammad & Syed, Nausheen, 2023. "Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach," Technology in Society, Elsevier, vol. 72(C).
    3. 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.

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