Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2018. / Cataloged from PDF version of thesis. / Includes bibliographical references (pages 127-138). / In Chapter 1, we design controlled laboratory experiments to investigate whether and how process-driven discussions may improve information sharing, information integration, and the resulting group performance in collective decision making. We first investigate three different conditions on group discussion and find that while suggesting a process (without enforcement) significantly enhances information sharing, enforcing the process is a critical enabler for the group to integrate the shared information into its final decision making and hence improves group performance. We then replicate our results with a more complex task in the context of operations management, and find evidence that the underlying mechanism for process to induce better performance is reduced difficulty and hence lowered mental effort involved in the task. Chapter 2 and 3 focus on supply-chain and governance measures to improve food safety management. In Chapter 2, we employ Heckman's sample selection framework to investigate whether and how structural properties of China's farming supply chains and the strength of governance within the regions in which the supply chains operate jointly influence the risks of economically motivated adulteration (EMA) of food products. We find that both supply chain dispersion and weak local governance are associated with higher EMA risks. In Chapter 3, we further explore a set of innovative transparency measures for quantifying the strength of governance in food safety, which are designed based on data scraped from relevant government websites. / by Shujing Wang. / Ph. D.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/120225 |
| Date | January 2018 |
| Creators | Wang, Shujing, Ph. D. Massachusetts Institute of Technology |
| Contributors | Karen Y. Zheng and Retsef Levi., Massachusetts Institute of Technology. Operations Research Center., Massachusetts Institute of Technology. Operations Research Center. |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 138 pages, application/pdf |
| Rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission., http://dspace.mit.edu/handle/1721.1/7582 |
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