The Role of AI in Preventing Return Fraud: A Study of Amazon’s Flexible Return Policy and Consumer Behavior
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https://doi.org/10.14419/s5jc3m02
Received date: June 6, 2025
Accepted date: July 4, 2025
Published date: July 20, 2025
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Artificial Intelligence; Return Fraud; Amazon; Consumer Behavior; Flexible Return Policy; E-commerce -
Abstract
Purpose – The purpose of this study is to examine the role of Artificial Intelligence (AI) in identifying and preventing return fraud on Amazon. It also seeks to explore the behavioral patterns and motivations behind the exploitation of Amazon’s flexible return policy by consumers.
Design/Methodology/Approach – This research employed a quantitative approach using structured online surveys distributed to Amazon customers with return experience. The data were analyzed using descriptive statistics, chi-square tests, and regression analysis. Reliability was tested through Cronbach’s Alpha to ensure consistency of constructs such as AI awareness, policy perception, and return behavior.
Findings – The study found that higher awareness of AI monitoring significantly reduces the likelihood of return fraud. Demographic factors such as age and shopping frequency were also found to influence return behavior. Perceptions of policy leniency increased the chances of policy exploitation. Overall, AI was viewed positively when implemented with transparency and fairness.
Originality/Value – This study contributes to the emerging body of literature on AI applications in fraud prevention within e-commerce, particularly in return management. It provides actionable insights for online retailers, especially Amazon, on leveraging AI ethically to enhance fraud detection while maintaining customer trust and satisfaction.
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How to Cite
Muthulingam , M. K. ., & Amirtharaj , D. E. N. . (2025). The Role of AI in Preventing Return Fraud: A Study of Amazon’s Flexible Return Policy and Consumer Behavior. International Journal of Accounting and Economics Studies, 12(3), 162-173. https://doi.org/10.14419/s5jc3m02
