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Curbing customer-to-customer misbehavior contagion in the sharing economy

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  • Danatzis, Ilias
  • Möller-Herm, Jana
  • Herm, Steffen

Abstract

The sharing economy has fundamentally transformed customers’ lives. Providing short-term access to resources, however, creates environments in which customers regularly become the target of other customers’ misbehavior, either personally or toward shared resources. Although this customer-to-customer (C2C) misbehavior is known to be contagious, the reasons for its spread and the effectiveness of containment measures across sharing economy markets remain unclear. Three experiments reveal the moderating role of on-site supervision: platform-provider-directed blame attributions drive C2C misbehavior contagion in settings with formal on-site supervision, while social norms underlie contagion when on-site supervision is absent. Perpetrator-directed blame attributions reverse contagion irrespective of on-site supervision. More intrusive platform and peer-provider measures (in-person reprimands, in-app messages, and photo features) are most effective at curbing contagion by reducing social norms to misbehave and shifting blame to the perpetrator. However, these measures are only effective at certain C2C misbehavior severity levels for different sharing economy market types.

Suggested Citation

  • Danatzis, Ilias & Möller-Herm, Jana & Herm, Steffen, 2024. "Curbing customer-to-customer misbehavior contagion in the sharing economy," Journal of Business Research, Elsevier, vol. 173(C).
  • Handle: RePEc:eee:jbrese:v:173:y:2024:i:c:s0148296323008196
    DOI: 10.1016/j.jbusres.2023.114460
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    References listed on IDEAS

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    1. Paul Harvey & Mark J. Martinko & Nancy Borkowski, 2017. "Justifying Deviant Behavior: The Role of Attributions and Moral Emotions," Journal of Business Ethics, Springer, vol. 141(4), pages 779-795, April.
    2. Arndt, Aaron D. & Ford, John B. & Babin, Barry J. & Luong, Vinh, 2022. "Collecting samples from online services: How to use screeners to improve data quality," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 117-133.
    3. Habel, Johannes & Alavi, Sascha & Pick, Doreén, 2017. "When serving customers includes correcting them: Understanding the ambivalent effects of enforcing service rules," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 919-941.
    4. Fombelle, Paul W. & Voorhees, Clay M. & Jenkins, Mason R. & Sidaoui, Karim & Benoit, Sabine & Gruber, Thorsten & Gustafsson, Anders & Abosag, Ibrahim, 2020. "Customer deviance: A framework, prevention strategies, and opportunities for future research," Journal of Business Research, Elsevier, vol. 116(C), pages 387-400.
    5. Fleura Bardhi & Giana M. Eckhardt, 2012. "Access-Based Consumption: The Case of Car Sharing," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(4), pages 881-898.
    6. Orazi, Davide C. & Pizzetti, Marta, 2015. "Revisiting fear appeals: A structural re-inquiry of the protection motivation model," International Journal of Research in Marketing, Elsevier, vol. 32(2), pages 223-225.
    7. Yany Grégoire & Fateme Ghadami & Sandra Laporte & Sylvain Sénécal & Denis Larocque, 2018. "How can firms stop customer revenge? The effects of direct and indirect revenge on post-complaint responses," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1052-1071, November.
    8. Benoit, Sabine & Baker, Thomas L. & Bolton, Ruth N. & Gruber, Thorsten & Kandampully, Jay, 2017. "A triadic framework for collaborative consumption (CC): Motives, activities and resources & capabilities of actors," Journal of Business Research, Elsevier, vol. 79(C), pages 219-227.
    9. Fullerton, R. A. & Punj, G., 2004. "Repercussions of promoting an ideology of consumption: consumer misbehavior," Journal of Business Research, Elsevier, vol. 57(11), pages 1239-1249, November.
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