Gorkem Turgut (G.T.) Ozer

Assistant Professor
Decision Sciences
Phone: (603) 862-2709
Office: UNH Decision Sciences, Paul College 270K, Durham, NH 03824
gorkem turgut ozer

Gorkem Turgut (G.T.) Ozer is an Assistant Professor of Decision Sciences at the Paul College of Business and Economics. His research lies at the nexus of technology, organization, and governance, and involves the development and application of statistical models and machine learning algorithms to collect and analyze large-scale data. Specifically, he examines the (1) societal implications of digital platforms and markets (aka multisided platforms, sharing economy, peer-to-peer markets), and (2) how emerging information technologies and tools such as of big data analytics and artificial intelligence affect decision making in strategy, business model and process innovation. He teaches “Predictive Analytics and Modeling,” “Big Data and Artificial Intelligence: Strategy & Analytics,” and “Managing Information Systems: Strategy, Software, and Data” at the graduate level. 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 Information Systems Society at INFORMS and the advisory committee for Business Analytics Initiative.

Prior to pursuing his doctoral degree (PhD) in Information, Risk, and Operations Management at the McCombs School of Business, University of Texas at Austin, he completed doctoral coursework in Strategic Management. He has an MBA degree with a thesis on cognitive biases in financial decision making and an MSc degree in Management Information Systems. Outside of academia, he has advised companies at the executive level on data centricity and digital transformation, started 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, and he cares and acts for the good of the other 8.7 million species.


  • Ph.D., University of Texas at Austin
  • M.B.A., Middle East Tech Univ
  • B.S., TOBB Univer of Econ & Engineer

Research Interests

  • Artificial Intelligence
  • Big Data
  • Digital Economics / Economy
  • Information Science/Systems
  • Longitudinal data analysis

Courses Taught

  • ADMN 872: Predictive Analytics
  • ADMN/DS 898/720: Topics/Regression Analytics
  • DS 720/898: top/Pred Analy: Regress Model
  • INCO 790: Advanced Research Experience

Selected Publications

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. 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). Pittsburgh, PA.

OZER, G. T. 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.