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A Note on the Impact of Daily Deals on Local Retailers’ Online Reputation: Mediation Effects of the Consumer Experience

Author

Listed:
  • Xue Bai

    (Department of Marketing and Supply Chain Management, Department of Management Information Systems, Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

  • James R. Marsden

    (Operations and Information Management, School of Business, University of Connecticut, Storrs, Connecticut 06269)

  • William T. Ross

    (Marketing Department, School of Business, University of Connecticut, Storrs, Connecticut 06269)

  • Gang Wang

    (Accounting and Management Information Systems, Alfred Lerner College of Business and Economics, University of Delaware, Newark, Delaware 19716)

Abstract

This study investigates the impact of daily deals on local retailers’ (restaurants’) online ratings. We collected and utilized a comprehensive panel data set that combines information on restaurants’ deal offerings (Groupon or LivingSocial) with their Yelp review details. Although demonstrating a negative main effect of daily deals on a restaurant’s monthly average ratings, we worked to uncover the underlying mechanisms by focusing on the mediating role of consumers’ postconsumption perception. Our mediation analyses show that daily deals are associated with the reduction of both consumers’ perceived food quality and perceived service quality as revealed in review texts, which leads to subsequent declines in a restaurant’s online ratings. We further noted and studied two types of reviews that existed during the deal-redemption period: (1) reviews that mentioned daily deals ( DD Reviews ) and (2) reviews that did not mention daily deals ( NDD Reviews ). NDD Reviews are usually from regular customers, whereas DD Reviews are likely from a different base of customers, deal users. Our separate analyses demonstrate differential mediation processes between DD Reviews and NDD Reviews . For DD Reviews , both perceived food and service quality had mediation roles, suggesting a mismatch effect. That is, daily deals attract discount-focused consumers, including new customers, who are less likely to appreciate the food or service and, therefore, leave a negative review. In contrast, for NDD Reviews , only perceived service quality had a mediation role, suggesting a negative externality effect. That is, the large volume of deal redemptions by deal users may induce a longer waiting time (to be seated and/or served) and, thus, reduced perceived service quality for regular customers. These results deepen our understanding of the impact of daily deals on business online reputation and provide important practical guidance to both local retailers and daily deal platforms.

Suggested Citation

  • Xue Bai & James R. Marsden & William T. Ross & Gang Wang, 2020. "A Note on the Impact of Daily Deals on Local Retailers’ Online Reputation: Mediation Effects of the Consumer Experience," Information Systems Research, INFORMS, vol. 31(4), pages 1132-1143, December.
  • Handle: RePEc:inm:orisre:v:31:y:2020:i:4:p:1132-1143
    DOI: 10.1287/isre.2020.0935
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    2. Alantari, Huwail J. & Currim, Imran S. & Deng, Yiting & Singh, Sameer, 2022. "An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 1-19.
    3. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
    4. Lei Wang & Ram Gopal & Ramesh Shankar & Joseph Pancras, 2022. "Forecasting venue popularity on location‐based services using interpretable machine learning," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2773-2788, July.
    5. Wang, Feng & Zhang, Xueting & Chen, Man & Zeng, Wei & Cao, Rong, 2022. "The influential paradox: Brand and deal content sharing by influencers in friendship networks," Journal of Business Research, Elsevier, vol. 150(C), pages 503-514.

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