Research
My research interest is in understanding how on-demand service platforms (e.g., ridesharing, food/grocery/courier delivery platforms) can be designed considering worker and customer behavior to improve platforms' operational outcomes and worker welfare.
Topics: On-demand service platform operations, Information-sharing and transparency, Sustainability/social responsibility in operations, People-centric operations, Human-Technology interaction, Future of work, Behavioral operations.
Methodologies: Game-theory, laboratory and online experiments.
Spatial Information Sharing on On-Demand Service Platforms
(with Basak Kalkanci)
[Methodology: Game-theory modeling, Behavioral lab experiments]
Under review (after a Minor Revision at Management Science)
**Honorable Mention, POMS College of Behavioral Operations Management Junior Scholar Paper Competition (2022)**
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Pay Model Intuitiveness and Transparency on On-Demand Service Platforms
(with Basak Kalkanci and Chris Parker)
[Methodology: Online behavioral experiments]
Under preparation for resubmission (Major Revision at Management Science)
**Accepted at MSOM SIG Conference, Technology, Innovation and Entrepreneurship Track (2024)**
**Finalist, POMS College of Behavioral Operations Management Junior Scholar Paper Competition (2022)**
**Accepted for full presentation at Early-Career Sustainable Operations Management Workshop (2023)**
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Commission and its Transparency on On-Demand Service Platforms
[Methodology: Online behavioral experiments]
(with Basak Kalkanci)
Work in progress (More details)
PhD thesis (projects 1-3): Information Sharing and Operational Transparency on On-Demand Service Platforms (Link)
**Finalist, 2024 INFORMS TIMES Doctoral Dissertation Award**
Wages and Tipping on On-Demand Service Platforms
[Methodology: Game theory, Behavioral lab experiments, Field experiments]
(with Laurens Debo and Raghav Singhal)
Work in progress (More details)