Profile
Dicle Yagmur Ozdemir is an Assistant Professor of Business Information Management at the Rotterdam School of Management, Erasmus University. She holds a PhD in Management Science with a concentration in Information Systems from University of Texas at Dallas, a Master of Science in Industrial Engineering from Sabanci University, and a Bachelor of Science in Industrial Engineering from Istanbul Technical University. She joined RSM in September 2023.
Her current research examines issues related to user-generated content on online platforms and the usage of generative AI in healthcare. In one line of work, she is interested in understanding how novel information in user-generated content can be incorporated by different stakeholders into their decisions/actions by examining and designing the information flow in online settings. She uses econometric modeling and natural language processing to examine and quantify how user-generated content influences platforms, businesses, content creators, and consumers. She also focuses on designing algorithms for online content selection to overcome consumers’ information overload. In another line of work, she conducts experiments to examine the influence of generative AI on patient-provider interaction in the healthcare context. She has presented her work at prestigious conferences such as CIST, WITS, ICIS, WCBA, and INFORMS.
Publications
Conference proceeding (1)
Academic (1)
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Ozdemir, D. Y., Singh, H., & Sarkar, S. (2021). Credibility, Novelty and Helpfulness in Online Reviews. In ICIS 2021 Proceedings
Doctoral Thesis (1)
External (1)
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Ozdemir, D. Y. (2023). Essays on Novelty in Online Reviews. [Doctoral Thesis, University of Texas at Dallas].
Working paper (4)
Academic (4)
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Ozdemir, D. Y., Singh, H., & Sarkar, S. (2024). The Moderating Role of Review Dissimilarity on the Relationship between Credibility and Helpfulness.
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Ozdemir, D. Y., Ayvaci, M., & Zentner, A. (2024). What People Think of Machines as Doctors: Unveiling the Value of Gen-AI for e-Health.
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Ozdemir, D. Y., Singh, H., & Sarkar, S. (2023). When Positive Reviews Hurt and Negative Reviews Help: The Role of Review Novelty, Volume, and Valence.
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Ozdemir, D. Y., & Sarkar, S. (2023). Tell Me Something New: Selecting Novel Online Reviews.
Courses
Data Management & Ethics
- Study year: 2024/2025, 2023/2024, 2022/2023
- Code: BM02BAM
- Level: Master
BIM Master Thesis
- Study year: 2024/2025, 2023/2024
- Code: BMMTBIM
- Level: Master
BIM Thesis Clinic
- Study year: 2024/2025, 2023/2024
- Code: BMRM1BIM
- Level: Master
Past courses
AI/Computer Interaction
- Study year: 2023/2024
- Code: BMME202
- Level: Master, Master, Master, Master
Programming for managers
- Study year: 2023/2024, 2022/2023
- Code: BMME008
- Level: Master, Master, Master