Gorkem Turgut (G.T.) Ozer is a member of the Decision Sciences faculty in the Paul College of Business and Economics. His research lies at the intersection of business, technology, and society, and involves the development and application of statistical and machine learning models to collect and analyze large-scale data for causal problem solving. Of particular interest are (1) the societal implications of digital platforms and markets (a.k.a. multisided platforms, sharing economy, peer-to-peer markets), and (2) how emerging information technologies and tools such as big data analytics and artificial intelligence affect decision making in organizations and society at large. He teaches the graduate courses “Predictive Analytics and Modeling,” “Big Data and Artificial Intelligence: Strategy & Analytics,” and “Managing Information Systems: Strategy, Software, and Data." He is a member of the Association for Information Systems (AIS), Association for Computing Machinery (ACM), Academy of Management (AOM), Strategic Management Society (SMS), and Institute for Operations Research and the Management Sciences (INFORMS). He serves on the governing body of the Information Systems Society at INFORMS and on the advisory board of the Business Analytics Initiative.
Prior to earning his Ph.D. in Information, Risk, and Operations Management from the McCombs School of Business, University of Texas at Austin, he completed doctoral work in Strategic Management. He holds an MBA with a thesis on cognitive biases in financial decision making and an MSc in Management Information Systems. Outside of academia, he has advised companies at the executive level on data centricity and digital transformation, founded tech companies as an entrepreneur, and mentored startups on strategy making in technology ecosystems. He is a backcountry camper, nature lover, coder, and Go player, who cares and acts for the good of the other 8.7 million species.
Ph.D., Information, Risk & Operations Management, University of Texas at Austin
M.B.A., Management Information Systems, Middle East Tech Univ
B.S., Business/Commerce, TOBB University of Econ & Tech
Digital Economics / Economy
Longitudinal data analysis
ADMN 872: Predictive Analytics
ADMN/DS 898/720: Topics/Regression Analytics
DS 720/898: top/Pred Analy: Regress Model
DS 810: Big Data
INCO 790: Advanced Research Experience
Ozer, G. T., Greenwood, B. N., & Gopal, A. (2022). Digital Multisided Platforms and Women's Health: An Empirical Analysis of Peer-to-Peer Lending and Abortion Rates. INFORMATION SYSTEMS RESEARCH. doi:10.1287/isre.2022.1126
Anderson, E. G., Lewis, K., & Ozer, G. T. (2018). Combining stock‐and‐flow, agent‐based, and social network methods to model team performance. System Dynamics Review, 34(4), 527-574. doi:10.1002/sdr.1613
Ozer, G. T., & Gopal, A. (2023, June 8). Does AI Help Users “Get the Picture?" – On the Complementarity between Algorithms and Craftsmen in Helping Search and Discovery on Craft Platforms. In Statistical Challenges in Electronic Commerce Research (SCECR). Bogotá, Colombia.
Wang, Y., Ozer, G. T., & Gao, G. (2022, October 15). Does “Instagram Perfect” Makes One Selfish? An Experimental Study of the Instagram Effect on Prosocial Behavior. In Conference on Information Systems and Technology (CIST). Indianapolis, IN.
Ozer, G. T., Anderson, E., & Figge, P. (2021, December 12). Organizational learning in the context of multisided digital platforms: A multi-method simulation study. In International Conference on Information Systems (ICIS). Austin, TX.
Ozer, G. T., Jarvenpaa, S., & Akinyemi, J. P. (2023, January 3). Boundary Reinforcement in Multisided Platforms: A Configurational Analysis of External Conditions. In Hawaii International Conference on System Sciences (HICSS). Maui, HI.
Ozer, G. T., Greenwood, B., & Gopal, A. (2023, May 5). Let it Ride! An Empirical Investigation of Problem Gambling and the Implications of Legalized Sports Betting on Societal Outcomes. In Conference on Health IT and Analytics (CHITA). Washington, D.C..
Ozer, G. T., Paulson, C., & Hu, D. (2022, June 7). Time Series Anomaly Detection in the Age of Big Data: Matching Data Generation Processes with Algorithms. In Symposium on Data Science and Statistics (SDSS) by American Statistical Association. Pittsburgh, PA.
Ozer, G. T., & Gopal, A. (2022, December 14). Does AI Help in “Getting the Picture”? – On Comparing the Effectiveness of Algorithms and Craftsmen in Helping Search and Discovery on Craft Platforms. In Workshop on Information Systems & Economics (WISE). Copenhagen, Denmark.
Ozer, G. T., Gopal, A., & Jarvenpaa, S. (2021, December 16). On Examining Crafts in the Context of Digital Platforms: An Institutional Logics Perspective. In Workshop on Information Systems & Economics (WISE). Austin, TX.