Zachary Michael Kelley

  • Assoc Professor of Instruction at Dept of Information Systems & Analytics, McCoy College of Business

Biography

I am an Associate Professor of Instruction in the Department of Information Systems & Analytics at Texas State University’s McCoy College of Business, with more than 20 years of executive experience in information technology and its application within complex business environments. My professional background spans transportation and logistics (domestic and international), manufacturing, and higher education.

Over the course of my industry career, I led information technology organizations for four companies and served as a senior executive, including President, for three additional firms with annual revenues ranging from approximately $5 million to $700 million. My responsibilities included enterprise systems strategy, governance, and implementation, with extensive hands-on experience deploying, maintaining, and adapting industry-specific ERP platforms including SAP, Infor XA (MAPICS), Innovative IES, and proprietary logistics systems.

I hold a Bachelor of Business Administration with a major in Computer Information Systems and a Master of Science in Accounting & Information Technology. I am currently completing a Master of Science in Artificial Intelligence, with expected completion by the end of Summer 2026, and am a member of the inaugural cohort of the Doctor of Business Administration (DBA) program at Texas State University, which I began in 2026.
My academic and professional interests focus on the intersection of analytics, artificial intelligence, fraud risk, and governance, with particular emphasis on how emerging technologies influence investigation methods, evidence handling, internal controls, and organizational decision-making.

I am a regular contributor to Fraud Magazine, the flagship publication of the Association of Certified Fraud Examiners (ACFE). In collaboration with Dr. Carolyn Conn, I currently author a bi-monthly column that examines emerging technologies and provides early, practitioner-focused analysis of what comes next in fraud detection and investigation. In 2025, our work on real-time deepfakes received the ACFE Hubbard Award, a global honor selected by approximately 95,000 ACFE members worldwide. I have also been recognized for teaching excellence as a Sun Belt Conference Faculty of the Year, representing faculty across 12 states.

Research Interests

Artificial Intelligence and Fraud Risk
Deepfakes and Synthetic Media
AI-Assisted Evidence Analysis and Investigation
Governance and Control Implications of Emerging Technologies
Large Language Models in Professional and Educational Contexts
Cybersecurity and Cyber-Warfare Implications of AI

Teaching Interests

Artificial Intelligence in Business and Analytics
Agentic and Autonomous Artificial Intelligence
Information Systems Design and Analytics
Fraud Examination, Investigation, and Controls
Information Security, Governance, and Cyber-Warfare
Applied Programming and Systems Design