Date of Conferral

2020

Degree

Doctor of Business Administration (D.B.A.)

School

Business Administration

Advisor

Diane Dusick

Abstract

Critical public data in the United States are vulnerable to theft, creating severe financial and legal implications for payment-card acceptors. When security analysts and managers who work for payment card processing organizations implement strategies to reduce or eliminate payment-card fraud, they protect their organizations, consumers, and the local and national economy. Grounded in Cressey’s fraud theory, the purpose of this qualitative single case study was to explore strategies business owners and card processors use to reduce or eliminate payment-card fraud. The participants were 3 data security analysts and 1 manager working for an international payment card processing organization with 10 years or more experience working with payment card fraud detection in the southeastern United States. The data collection process was face-to-face semistructured interviews and review of company documentation. Within-case analysis, pattern matching, and methodological triangulation were used to identify 4 themes. The key themes related to artificial intelligence, cardholder and acceptor education, enhanced security strategies, and Payment Card Industry Data Security Standard (PCI-DSS) rules and regulations to reduce or end card fraud. The key recommendations are enforcement of stricter PCI-DSS rules and regulations for accepting payment cards at the acceptor and processor levels to reduce the potential for fraud through the use of holograms and card reader clearance between customers. The implications for social change include the potential to reduce costs to consumers, reduce overhead costs for businesses, and provide price reductions for consumers. Additionally, consumers may gain a sense of security when using their payment-card for purchases.

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