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How reviews influence product usage post-purchase: An examination of video game playtime

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  • Philp, Matthew
  • Nepomuceno, Marcelo Vinhal

Abstract

Previous research on software products, such as video games, has largely focused on how user experience elements like visuals, audio, and content impact consumer engagement. However, these elements are internal factors controlled by the firm. It is equally important to identify and understand how external factors can influence usage and engagement. This study investigates the role of product reviews as an external factor that can shape post-purchase usage behavior for video games. We analyze data from the field and conduct two experiments to explore how reviews affect current owners' usage intentions and playtime. Our results suggest that negative reviews can decrease usage among current owners, in part due to concerns about appearing as an incompetent consumer. These findings highlight the power of product reviews beyond their intended audience of prospective buyers and offer implications for theory and firms alike.

Suggested Citation

  • Philp, Matthew & Nepomuceno, Marcelo Vinhal, 2024. "How reviews influence product usage post-purchase: An examination of video game playtime," Journal of Business Research, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:jbrese:v:172:y:2024:i:c:s0148296323008159
    DOI: 10.1016/j.jbusres.2023.114456
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    1. Jennifer J. Argo & Darren W. Dahl & Rajesh V. Manchanda, 2005. "The Influence of a Mere Social Presence in a Retail Context," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 207-212, September.
    2. Jennifer J. Argo & Katherine White & Darren W. Dahl, 2006. "Social Comparison Theory and Deception in the Interpersonal Exchange of Consumption Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(1), pages 99-108, June.
    3. Matthew Philp & Martin A. Pyle & Laurence Ashworth, 2018. "Risking the self: the impact of self-esteem on negative word-of-mouth behavior," Marketing Letters, Springer, vol. 29(1), pages 101-113, March.
    4. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    5. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    6. Philp, Matthew & Ashworth, Laurence, 2020. "I should have known better!: When firm-caused failure leads to self-image concerns and reduces negative word-of-mouth," Journal of Business Research, Elsevier, vol. 116(C), pages 283-293.
    7. Mansoor Javed & Sanjit Roy & Bano Mansoor, 2015. "Will You Defend Your Loved Brand?," Palgrave Macmillan Books, in: Marc Fetscherin & Tobias Heilmann (ed.), Consumer Brand Relationships, chapter 2, pages 31-54, Palgrave Macmillan.
    8. Yi Zhao & Sha Yang & Vishal Narayan & Ying Zhao, 2013. "Modeling Consumer Learning from Online Product Reviews," Marketing Science, INFORMS, vol. 32(1), pages 153-169, May.
    9. Delre, Sebastiano A. & Luffarelli, Jonathan, 2023. "Consumer reviews and product life cycle: On the temporal dynamics of electronic word of mouth on movie box office," Journal of Business Research, Elsevier, vol. 156(C).
    10. Philp, Matthew & Jacobson, Jenna & Pancer, Ethan, 2022. "Predicting social media engagement with computer vision: An examination of food marketing on Instagram," Journal of Business Research, Elsevier, vol. 149(C), pages 736-747.
    11. Marchand, André & Hennig-Thurau, Thorsten & Wiertz, Caroline, 2017. "Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 336-354.
    12. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    13. Xueming Luo, 2009. "Quantifying the Long-Term Impact of Negative Word of Mouth on Cash Flows and Stock Prices," Marketing Science, INFORMS, vol. 28(1), pages 148-165, 01-02.
    14. Chernev, Alexander, 2001. "The Impact of Common Features on Consumer Preferences: A Case of Confirmatory Reasoning," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(4), pages 475-488, March.
    15. David A. Reinstein & Christopher M. Snyder, 2005. "The Influence Of Expert Reviews On Consumer Demand For Experience Goods: A Case Study Of Movie Critics," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 27-51, March.
    16. Yinlong Zhang & Lawrence Feick & Vikas Mittal, 2014. "How Males and Females Differ in Their Likelihood of Transmitting Negative Word of Mouth," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(6), pages 1097-1108.
    17. Jennifer J. Argo & Kelley J. Main, 2008. "Stigma by Association in Coupon Redemption: Looking Cheap because of Others," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(4), pages 559-572, July.
    18. Fullerton, Gordon, 2011. "Creating advocates: The roles of satisfaction, trust and commitment," Journal of Retailing and Consumer Services, Elsevier, vol. 18(1), pages 92-100.
    19. Kyoungmi Lee & Hakkyun Kim & Kathleen D. Vohs, 2011. "Stereotype Threat in the Marketplace: Consumer Anxiety and Purchase Intentions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(2), pages 343-357.
    20. Su, Lujun & Swanson, Scott R. & Chinchanachokchai, Sydney & Hsu, Maxwell K. & Chen, Xiaohong, 2016. "Reputation and intentions: The role of satisfaction, identification, and commitment," Journal of Business Research, Elsevier, vol. 69(9), pages 3261-3269.
    21. Kim, Ho & Hanssens, Dominique M., 2017. "Advertising and Word-of-Mouth Effects on Pre-launch Consumer Interest and Initial Sales of Experience Products," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 57-74.
    22. Russell-Bennett, Rebekah & McColl-Kennedy, Janet R. & Coote, Leonard V., 2007. "Involvement, satisfaction, and brand loyalty in a small business services setting," Journal of Business Research, Elsevier, vol. 60(12), pages 1253-1260, December.
    23. Kos Koklic, Mateja & Kukar-Kinney, Monika & Vegelj, Spela, 2017. "An investigation of customer satisfaction with low-cost and full-service airline companies," Journal of Business Research, Elsevier, vol. 80(C), pages 188-196.
    24. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
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