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How online reviewers and actual customers evaluate their shopping experiences. Evidence from an international retail chain

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  • Daniele Dalli
  • Annamaria Tuan
  • David D?Acunto

Abstract

Online reviews represent an important source of information for consumers and, on the other hand, an important contribution for corporate management. Consumers increasingly rely on other consumers? reviews to make purchase decisions both offline and online. From a corporate perspective, reviews can be used to modify and adapt offerings, services, and to improve communication effectiveness. In this paper we are going to analyze online consumer reviews related to stores from an international retailer. Employing a qualitative and quantitative analysis, we have analyzed 80.910 online store reviews in Italy from April 1st, 2016 to March 31st, 2017. Then, in order to validate online reviews data, we conducted around 800 interviews with consumers at the shops and an online survey on 700 consumers: we want to measure the percentage of online reviewers on total customers and the differences between evaluations from reviewers and non-reviewers. We believe that this validation is necessary for accurate interpretation and further employment of online review data.

Suggested Citation

  • Daniele Dalli & Annamaria Tuan & David D?Acunto, 2018. "How online reviewers and actual customers evaluate their shopping experiences. Evidence from an international retail chain," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2018(3), pages 163-180.
    • Handle: RePEc:fan:mcmcmc:v:html10.3280/mc2018-003009
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    References listed on IDEAS

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    1. Michela C. Mason & Andrea Moretti & Francesco Raggiotto, 2017. "Service Quality, Behavioural Intentions and Lipstick effect. Evidence from a Masstige context," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2017(2), pages 123-147.
    2. Chrysanthos Dellarocas, 2006. "Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms," Management Science, INFORMS, vol. 52(10), pages 1577-1593, October.
    3. Paul Resnick & Richard Zeckhauser & John Swanson & Kate Lockwood, 2006. "The value of reputation on eBay: A controlled experiment," Experimental Economics, Springer;Economic Science Association, vol. 9(2), pages 79-101, June.
    4. Jonah Berger & Alan T. Sorensen & Scott J. Rasmussen, 2010. "Positive Effects of Negative Publicity: When Negative Reviews Increase Sales," Marketing Science, INFORMS, vol. 29(5), pages 815-827, 09-10.
    5. 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.
    6. Cruz, Ryan E. & Leonhardt, James M. & Pezzuti, Todd, 2017. "Second Person Pronouns Enhance Consumer Involvement and Brand Attitude," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 104-116.
    7. Romani, Simona & Grappi, Silvia & Dalli, Daniele, 2012. "Emotions that drive consumers away from brands: Measuring negative emotions toward brands and their behavioral effects," International Journal of Research in Marketing, Elsevier, vol. 29(1), pages 55-67.
    8. Pan, Yue & Zhang, Jason Q., 2011. "Born Unequal: A Study of the Helpfulness of User-Generated Product Reviews," Journal of Retailing, Elsevier, vol. 87(4), pages 598-612.
    9. Bougie, J.R.G. & Pieters, R. & Zeelenberg, M., 2003. "Angry customers don't come back, they get back : The experience and behavioral implications of anger and dissatisfaction in services," Other publications TiSEM 1708fb71-fd68-41d9-b870-e, Tilburg University, School of Economics and Management.
    10. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    11. 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.
    12. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    13. Sarah G. Moore, 2015. "Attitude Predictability and Helpfulness in Online Reviews: The Role of Explained Actions and Reactions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 42(1), pages 30-44.
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    Cited by:

    1. Giuseppe Bertoli & Bruno Busacca & Marta Imperato, 2020. "Premium private label: how product value, trust and category involvement influence consumers willingness to buy," Italian Journal of Marketing, Springer, vol. 2020(2), pages 143-161, September.
    2. Iranmanesh, Mohammad & Min, Connie Low & Senali, Madugoda Gunaratnege & Nikbin, Davoud & Foroughi, Behzad, 2022. "Determinants of switching intention from web-based stores to retail apps: Habit as a moderator," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).

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