gorkem turgut ozer

Gorkem Turgut (G.T.) Ozer

Assistant Professor
Decision Sciences
Phone: (603) 862-2709
Office: Paul College, Room 270k, Durham, NH 03824
Websites:
Curriculum Vitae
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 advisory board of the Business Analytics Initiative and the Information Systems Society of INFORMS.

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.

Courses Taught

  • ADMN 872: Predictive Analytics
  • ADMN/DS 898/720: Topics/Regression Analytics
  • DS 720/898: top/Pred Analy: Regress Model
  • DS 772/872: Predictive Analytics&Modeling
  • DS 772/898: Predictive Analytics&Modeling
  • DS 810: Big Data
  • DS 816: Tools for Business Analytics
  • INCO 790: Advanced Research Experience

Education

  • Ph.D., Information, Risk, and Operations Management, The University of Texas at Austin
  • M.Sc., Management Information Systems, The University of Texas at Austin
  • Ph.D., Strategic Management, Georgia State University
  • M.B.A., Management Information Systems, Middle East Technical University
  • B.S., Business/Commerce, TOBB University of Economics and Technology

Research Interests

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

Selected Publications

  • Huntington-Klein, N., Pörtner, C. C., Acharya, Y., Adamkovic, M., Adema, J., Agasa, L. O., . . . Zanoli, R. (2025). The Sources of Researcher Variation in Economics.

  • Ozer, G. T., Gopal, A., & Jarvenpaa, S. (2025). On Influence in Online Creative Craft Communities and the Relevance of Virtuosity and Community Engagement. Journal of the Association for Information Systems, 0(0).

  • Ozer, G. T., Greenwood, B. N., & Gopal, A. (2024). Noisebnb: An Empirical Analysis of Home-Sharing Platforms and Residential Noise Complaints. Information Systems Research, 35(4), 1824-1847. doi:10.1287/isre.2022.0070

  • 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., Greenwood, B., & Gopal, A. (2024, October 19). Let it Ride! An Empirical Investigation of Problem Gambling and the Implications of Legalized Sports Betting on Societal Outcomes. In Conference on Information Systems and Technology (CIST). Seattle, WA.

  • Ozer, G. T. G. T., Wang, Y., & Gopal, A. (2023, December). Does Black Music also matter? The Effect of The George Floyd’s Death on Hip-hop Music Streaming in the United States. In International Conference on Information Systems (ICIS). Hyderabad, India.

  • 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., 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., 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.

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