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Essays on status recognition and its consequences for top-talent mobility and productivity
(Massachusetts Institute of Technology, 2020)
Organizations increasingly rely on status recognition to motivate members toward higher performance. Yet status recognition inevitably invites social comparisons. Although research in organization theory and strategy has ...
The effect of financial reporting on strategic investments : evidence from purchase obligations
(Massachusetts Institute of Technology, 2020)
I examine whether mandating the disclosure of investments influences firms' strategic interactions. I exploit an SEC regulation requiring firms to report off-balance sheet purchase obligations, such as commitments to ...
Data-driven decision making in online and offline retail/
(Massachusetts Institute of Technology, 2020)
.Retail operations have experienced a transformational change in the past decade with the advent and adoption of data-driven approaches to drive decision making. Granular data collection has enabled firms to make personalized ...
Essays in financial economics
(Massachusetts Institute of Technology, 2020)
Chapter 1 constructs a theoretical model of an ETF. Conventional wisdom warns that exchange-traded funds (ETFs) harm stock price discovery, either by ``stealing'' single-stock liquidity or forcing stock prices to co-move. ...
Dynamic optimization in the age of big data
(Massachusetts Institute of Technology, 2020)
This thesis revisits a fundamental class of dynamic optimization problems introduced by Dantzig (1955). These decision problems remain widely studied in many applications domains (e.g., inventory management, finance, energy ...
Entrepreneurial organizations and human capital
(Massachusetts Institute of Technology, 2020)
This dissertation investigates how human capital shapes both the creation a nd performance of entrepreneurial organizations. In three essays, I study the intricate linkage between startups and the individuals that embody ...
Investigations in applied probability and high-dimensional statistics
(Massachusetts Institute of Technology, 2020)
This thesis makes contributions to the areas of applied probability and high-dimensional statistics. We introduce the Attracting Random Walks model, which is a Markov chain model on a graph. In the Attracting Random Walks ...
Interpretable machine learning methods with applications to health care
(Massachusetts Institute of Technology, 2020)
With data becoming increasingly available in recent years, black-box algorithms like boosting methods or neural networks play more important roles in the real world. However, interpretability is a severe need for several ...
Online and offline learning in operations
(Massachusetts Institute of Technology, 2020)
With the rapid advancement of information technology and accelerated development of data science, the importance of integrating data into decision-making has never been stronger. In this thesis, we propose data-driven ...
Improving farmers' and consumers' welfare in agricultural supply chains via data-driven analytics and modeling : from theory to practice
(Massachusetts Institute of Technology, 2020)
The upstream parts of the agricultural supply chain consists of millions of smallholder farmers who continue to suffer from extreme poverty. The first stream of research in this thesis focuses on online agri-platforms which ...