Yulia Sullivan

Professional Summary

Yulia Sullivan is an associate professor of Information Systems and Business Analytics (ISBA) at Hankamer School of Business, Baylor University. She earned her PhD degree in information systems from the University of North Texas. Her research interests encompass a diverse range of topics, including cognitive information systems, the value of IT for organizations, artificial intelligence and ethics, human-computer interaction and research methods. Sullivan has published in premier outlets, such as MIS Quarterly, Journal of the Association for Information Systems, Journal of Business Ethics, Annals of Operations Research, Journal of Business Research and International Journal of Information Management, among others. She is also a co-author of the textbook titled "Conducting Mixed-Methods Research: From Classical Social Sciences to the Age of Big Data and Analytics," contributing her expertise in the mixed-methods area. In recognition of her research contributions, Sullivan was honored with the Habicht Early Career Research Award by the Hankamer School of Business. She was also a recipient of Baylor’s Outstanding Faculty Research Award (Tenured) in 2024.   

Sullivan currently serves as a board member of the Responsible Research in Business and Management Honor Roll, an international non-profit organization dedicated to promoting credible and valuable research in the business and management disciplines. She also currently serves as the undergraduate program director for the ISBA Department at Hankamer School of Business.

Education

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

Courses

• MIS 3320 – System Analysis and Design
• MIS 5335 - Information Systems Analysis and Design

Research Interests

• Cognitive Information Systems
• Human-Computer Interaction
• Ethics and Artificial Intelligence
• Business Value of IT 
• Research Methods

Selected Publications

• Sullivan, Y., & Wamba, S. F. (2024). Artificial intelligence and adaptive response to market changes: A strategy to enhance firm performance and innovation. Journal of Business Research, 174, 114500.
• Sullivan, Y. W., Wamba, S. F., & Dunaway, M. (2023). Internet of Things and competitive advantage: A dynamic capabilities perspective. Journal of the Association for Information Systems, 23(3), pp. 754-781.
• Sullivan, Y. W., & Wamba, F. S. (2022). Moral judgments in the age of artificial intelligence. Journal of Business Ethics, 178, pp. 917-943. 
• Sullivan, Y. W., Davis, F. D., & Koh, C. E. (2022). Executive functions and information systems learning. MIS Quarterly, 46(2), pp. 813-846. 
• Sullivan, Y. W., de Bourmont, M., & Dunaway, M. (2022). Appraisals of harm and injustice trigger an eerie feeling that decreases trust in artificial intelligence systems. Annals of Operations Research, 308, pp. 525-548.
• Venkatesh, V., Brown, S., & Sullivan, Y. W. (2016). Guidelines for conducting mixed-methods research: An extension and illustration. Journal of the Association for Information Systems, 17(7), pp. 435-494.