JOEL GOH

My primary research agenda centers around three applied research domains: healthcare analytics, supply chain analytics, and the operations of service platforms. My work in healthcare analytics falls into four separate themes: (a) preventing, detecting, and treating health conditions, (b) incentives in healthcare, (c) workplace stressors and health, and (d) hospital operations. In the domain of supply chain analytics, I’m primarily interested in understanding how new business models, enabled by digital technology, can be harnessed to unlock hidden efficiencies in supply chains. Finally, I am interested in understanding how service platforms can operate more effectively, which can be achieved through changes in operating policies or different forms of information provision. I also have secondary research interests in methodologies for optimal decision-making and co-created Robust Optimization Made Easy (ROME), a software package for modeling robust optimization problems.

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I currently serve as an Associate Editor at Management Science, Manufacturing & Service Operations Management, and Service Science, as well as a Senior Editor at Production and Operations Management.

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Previous academic appointments:

2020-2025: Dean's Chair Associate Professor, NUS Business School

2017-2020: President's Assistant Professor, NUS Business School

2017-2022: Visiting Scholar, Harvard Business School

2014-2017: Assistant Professor, Harvard Business School

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