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个人简介
My research focuses on how technology and data are re-shaping the organization and management of workers, service platforms, and supply chains—all of which call for actively managing decentralized incentives and information. I use data to study the principled design of such incentives and information flows.
I am always open to new collaborations with academics and data partners. Current endeavors, which I am happy to talk about, include partnerships to enhance worker productivity and welfare within complex operations by collecting and leveraging better big data. Examples include (1) using biosensors to track and manage stress and rapid burnout among hospital intensive care providers, (2) ongoing initiatives with the Apple Worker Exit Study to understand disruptive worker turnover in the supply chain, and (3) using blockchain technology to tailor incentives to improve the welfare of first-mile producers in global, agricultural supply chains. I also study and collaborate extensively with online platforms managing flexible work arrangements.
I am always open to new collaborations with academics and data partners. Current endeavors, which I am happy to talk about, include partnerships to enhance worker productivity and welfare within complex operations by collecting and leveraging better big data. Examples include (1) using biosensors to track and manage stress and rapid burnout among hospital intensive care providers, (2) ongoing initiatives with the Apple Worker Exit Study to understand disruptive worker turnover in the supply chain, and (3) using blockchain technology to tailor incentives to improve the welfare of first-mile producers in global, agricultural supply chains. I also study and collaborate extensively with online platforms managing flexible work arrangements.
研究兴趣
论文共 18 篇作者统计合作学者相似作者
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Social Science Research Network (2023)
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Social Science Research Network (2023)
SSRN Electronic Journal (2023)
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Social Science Research Network (2023)
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SSRN Electronic Journal (2022)
Social Science Research Network (2021)
Social Science Research Network (2021)
SSRN Electronic Journalno. 5 (2020): 3755-3767
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