Date of Conferral

11-11-2024

Degree

Doctor of Information Technology (D.I.T.)

School

Information Systems and Technology

Advisor

Nawaz Khan

Abstract

The emergence of digital banking has led to an increase in transaction volume in Nigeria's financial industry, resulting in a rise in fraud cases. This is gradually eroding trust in the economic system and posing a major challenge to the Central Bank's goal of financial inclusion. Fraud detection and prevention strategies must be put in place by IT leaders of Nigerian financial institutions, as fraud in the country can undermine the integrity and trust that are essential to maintaining the integrity of the country's financial system. Grounded in the unified theory of acceptance and use of technology 2 (UTAUT 2) model, this qualitative pragmatic study was to investigate how IT leaders in the Nigerian financial sector employ big data analytics to develop strategies for detecting and preventing fraud. The participants were 15 IT leaders from various financial institutions. Data were collected using semistructured interviews. Through thematic analysis, three themes were identified: (a) fraud categories; (b) the role of technology and human vulnerability on fraud facilitation; and (c) the implementation of big data analytics along with investments in technology, training, governance, and collaboration. A key recommendation is for IT managers to develop fraud detection and prevention strategies that protect sensitive data and maintain transaction integrity within their organizations. The implications for positive social change include the potential for IT managers to enhance data security, promote organizational collaboration, improve digital integrity, and ultimately strengthen the nation’s financial infrastructure, boosting its reputation and fostering economic stability in Nigeria.

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