Yulia Sullivan

Yulia Sullivan is an Associate Professor and Undergraduate Program Director in the Information Systems and Business Analytics (ISBA) Department at the Hankamer School of Business, Baylor University. She earned her PhD in Computer Information Systems from the University of North Texas and maintains an active research program at the intersection of information systems, cognitive psychology, and artificial intelligence ethics.

Her educational background includes:

• PhD in Computer Information Systems (Minor: Behavioral Analysis), University of North Texas, 2016
• MBA, Chosun University, South Korea, 2011
• BA in Economics and Management, Bina Nusantara University, Jakarta, Indonesia, 2007

Dr. Sullivan's research investigates how cognitive processes influence information systems adoption, the ethical implications of AI in business contexts, and the organizational value derived from IT investments. Her work in human-computer interaction focuses on trust mechanisms in AI systems and the psychological impact of algorithmic decision-making, with significant contributions to understanding moral judgments in AI-driven environments.

Analysis of her recent publications (2016-2024) reveals a concentrated research trajectory in artificial intelligence ethics and cognitive information systems, with publications spanning premier journals including MIS Quarterly and Journal of Business Ethics. Her work demonstrates methodological rigor through mixed-methods approaches and addresses critical business challenges such as AI-driven market adaptation, IoT-enabled competitive advantage, and ethical frameworks for emerging technologies.

Her research excellence has been recognized through:

• Habicht Early Career Research Award (Hankamer School of Business)
• Baylor’s Outstanding Faculty Research Award (Tenured), 2024

As Undergraduate Program Director for the ISBA Department, Dr. Sullivan oversees curriculum development and academic advising for business analytics students. She teaches core courses including System Analysis and Design (MIS 3320) and Information Systems Analysis and Design (MIS 5335), though specific graduate student advising details and grant funding information are not documented in available sources.

No dedicated research laboratories or specialized research teams are mentioned in the provided materials.