Conceptualising the use of detective analytics underpinned by actornetwork theory

Abstract

Despite several mitigating measures, crime continues to disrupt and destabilise processes and activities in the financial sector. Detective analytics is increasingly explored as an additional mitigative solution by many financial institutions, to respond to the growing crime activities creatively and innovatively. This study aimed to examine how detective analytics can be used to follow the actors of crime activities. Actornetwork theory (ANT) is employed as a lens to gain a deeper understanding of how activities can be traced, and tracked, to mitigate financial crime in institutions. The interpretive approach was applied. The findings revealed Seamless integration of incidents, Cybersecurity detection, In-house fraud detection, External infiltrate detection, and Image-matching data into one cohesive system. The study highlights the need for gaining a deeper understanding of networks of actors, following the actors, and passage points within an organisation. The findings have significant implications for improving the efficiency and effectiveness of detective analytics, from both technical and non-technical perspectives.