Ken Moon

Ken Moon is an associate professor of operations, technology and information management at the Cornell SC Johnson College of Business. His research focuses on business analytics, operations management, quantitative modeling, applied economics, innovation, machine learning, services operations management, and technology strategy. He uses large datasets to study and optimize the organization of workers and markets, applying mathematical modeling, causal analysis, and algorithms to improve workforce performance, online market operations, and policy design for complex networks. His work is supported by his faculty page at https://business.cornell.edu/faculty-research/faculty/khm57/.

Ken Moon is a researcher at Cornell University focusing on digital markets, labor economics, and operations management. His work explores topics such as worker turnover, gig economy dynamics, and the impact of digital platforms on business practices. Moon's research interests include the effects of worker turnover on product reliability, the role of multihoming in gig economy platforms, and the strategic behavior of workers in online marketplaces. He also investigates the implications of algorithmic decision-making in marketplace operations and the challenges of responsible sourcing in supply chains. His studies often combine empirical analysis with theoretical insights to understand complex economic and operational phenomena in digital environments.