Sezgin Ayabakan

Profile Picture of Sezgin Ayabakan

Sezgin Ayabakan

  • Fox School of Business and Management

    • Management Information Systems

      • Assistant Professor


Dr. Sezgin Ayabakan joins the Fox School on a tenure-track appointment within the Department of Management Information Systems.

He taught undergraduate and graduate courses in Information Systems at the University of Baltimore and the University of Texas at Dallas prior to his arrival. His research focuses on the impact of health information technology initiatives on the cost and quality of healthcare delivery. Other research interests include data analytics techniques in the healthcare and social media subjects in which he mastered various data analytics tools.

Ayabakan graduated from the University of Texas at Dallas, where he earned a PhD in Management Science, with an emphasis on MIS. He received a Master of Science degree in Industrial and Systems Engineering from the University of Florida, and a Bachelor of Science degree in Industrial Engineering from Turkey’s Bilkent University.

Research Interests

  • Healthcare Analytics
  • Business Value of Information Systems
  • Open Source Production

Courses Taught




MIS 2101

Digital Systems


Selected Publications


  • Bardhan, I.R., Bao, C., & Ayabakan, S. (2023). Value Implications of Sourcing Electronic Health Records: The Role of Physician Practice Integration. Information Systems Research, 34(3), 1169-1190. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2022.1183.

  • Srivastava, A., Ayyalasomayajula, S., Bao, C., Ayabakan, S., & Delen, D. (2022). Relationship between electronic health records strategy and user satisfaction: a longitudinal study using clinicians' online reviews. J Am Med Inform Assoc, 29(9), 1577-1583. England. 10.1093/jamia/ocac082

  • Ayabakan, S., Bardhan, I., & Zheng, Z.E. (2021). Triple Aim and the Hospital Readmission Reduction Program. Health Serv Res Manag Epidemiol, 8, 2333392821993704. United States. 10.1177/2333392821993704

  • Dennis, A.R., Kim, A., Rahimi, M., & Ayabakan, S. (2020). User reactions to COVID-19 screening chatbots from reputable providers. J Am Med Inform Assoc, 27(11), 1727-1731. England. 10.1093/jamia/ocaa167