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Data-Driven Platform And Digital Operations, Bing Bai
Data-Driven Platform And Digital Operations, Bing Bai
Olin Business School Electronic Theses and Dissertations
The objective of this dissertation is to study the emerging operations issues on data-driven platforms and digital operations. With the increasing availability of data and the development of information technologies, platforms process a large amount of data in order to efficiently make daily operational decisions. Understanding human behaviors and the human-algorithm connection is instrumental to the success of this process. In my research, I implement field experiments and use structural models to study in-warehouse worker behavior and out-of-warehouse customer behavior in the last mile of logistics.
In Chapter 1, “The Impacts of Algorithmic Work Assignment on Fairness Perceptions and Productivity: …
Optimization And Information Problems In Operations, Puping Jiang
Optimization And Information Problems In Operations, Puping Jiang
Olin Business School Electronic Theses and Dissertations
The main purpose of this dissertation is to study the optimization problems and the value of information in various commercial settings, especially in the emerging platform economy.
Chapter 1, “Data-Driven Asset Selling”. Motivated by online asset selling marketplace business (e.g., used cars and real estate), we formulate a data-driven asset selling dynamic pricing framework which utilizes platforms’ access to customers’ online behavioral data. With mild assumptions on the demand model, careful characterization of the problem structure shows that the model admits some ideal properties that facilitate our regret analysis under our dynamic programming setting. Instead of studying the policy performance …
Optimization And Information Problems In Operations, Puping Jiang
Optimization And Information Problems In Operations, Puping Jiang
Olin Business School Electronic Theses and Dissertations
The main purpose of this dissertation is to study the optimization problems and the value of information in various commercial settings, especially in the emerging platform economy.
Chapter 1, “Data-Driven Asset Selling”. Motivated by online asset selling marketplace business (e.g., used cars and real estate), we formulate a data-driven asset selling dynamic pricing framework which utilizes platforms’ access to customers’ online behavioral data. With mild assumptions on the demand model, careful characterization of the problem structure shows that the model admits some ideal properties that facilitate our regret analysis under our dynamic programming setting. Instead of studying the policy performance …