Online counterfeiting in the e-commerce of luxury goods and the role of business intelligence: A systematic mapping study

Abstract

A specific and developing trend in the counterfeit trade is online product counterfeiting on e-commerce platforms. This study also identified gaps in the fragmented current body of knowledge on online product counterfeiting and topics for further study. This systematic mapping effort sought to identify works related to business intelligence-based research on counterfeiting and its countermeasures. For the purpose of this inquiry, studies were identified in seven academic databases. This research involved carefully examining 32 publications out of 296 and revealed that anti-counterfeiting programs use machine learning and pattern recognition technology. To understand customer behavior, certain studies have detailed the fundamentals of the counterfeit trade. The study also provided insight into the potential future growth of business intelligence-based counterfeiting methods.