Developing business analytic capabilities for combating e-commerce identity fraud: A study of Trustev's digital verification solution

Given the significant growth in e-commerce, organizations are seeking novel capabilities and technological innovations to deal simultaneously with the volume of data generated and the need to combat potentially damaging fraudulent activity. Although recent studies identify business analytics (BA) as a potential means of combating fraud, significant inroads into the interrelationships between capabilities and the articulation of a pathway to analytical capability have yet to be made. This study presents an investigation of Trustev, a global provider of digital verification technology, and its development of the profile-based social fingerprinting fraud detection solution. Adopting an interpretive structural modeling technique for data analysis, we construct a framework and reveal a road map for organizations to become analytically capable in online fraud detection. Our study adds to the discourse of the application of BA to combat online fraud.