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Identifying Fraud in Online Auctions: A Case Study

Author

Listed:
  • Darlene Bay
  • Gail Lynn Cook
  • Jerko Grubisic
  • Alexey Nikitkov

Abstract

According to the FBI (IC3, 2011), losses as a result of auto‐auction fraud exceeded $8.2 million dollars in 2011. How can one detect deception in online auction transactions? The authors use a comprehensive case to teach students about deception detection processes, detection cues, and the e‐commerce environment. Students are challenged to make a professional judgment about whether the transaction under consideration is an attempt to deceive. The case is based on a real‐life situation and provides a valuable exercise for business students, educating them in the reality of online auction markets and developing their critical thinking skills. The case may be used with undergraduate accounting majors in Accounting Information Systems classes and with graduate students in an e‐commerce course either as an in‐class assignment or as a term project. Students provided favorable responses as to the value of the case. Résumé Selon le FBI, les pertes découlant de la fraude dans la vente aux enchères de véhicules automobiles se sont élevées à plus de 8,2 millions de dollars en 2011. Comment déceler les supercheries dans les opérations d'enchères en ligne ? Les auteurs se servent d'un cas global pour enseigner aux étudiants les processus de détection de la fraude, les indices à observer et l'environnement du commerce électronique. Les étudiants sont appelés à poser un jugement professionnel quant à la possibilité que l'opération qu'ils analysent soit une tentative de supercherie. Le cas est inspiré d'une situation réelle et constitue un exercice enrichissant pour des étudiants en gestion, puisqu'il les éclaire sur la réalité des marchés d'enchères en ligne et développe leurs aptitudes à la réflexion critique. L'étude de cas a été utilisée auprès d'étudiants de premier cycle en concentration comptabilité, dans des cours sur les systèmes d'information comptable, et auprès d'étudiants de cycle supérieur, dans un cours de commerce électronique, sous forme d'exercice en classe ou de projet de session. Les commentaires des étudiants quant à la valeur de l'étude de cas ont été favorables.

Suggested Citation

  • Darlene Bay & Gail Lynn Cook & Jerko Grubisic & Alexey Nikitkov, 2014. "Identifying Fraud in Online Auctions: A Case Study," Accounting Perspectives, John Wiley & Sons, vol. 13(4), pages 283-299, December.
  • Handle: RePEc:wly:accper:v:13:y:2014:i:4:p:283-299
    DOI: 10.1111/1911-3838.12033
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