Ken Moon

Ken Moon is an Assistant Professor of Operations, Information and Decisions at the Wharton School.  His research integrates empirical methodologies and theoretical modeling to study problems in operations management.  In his recent and ongoing empirical work, he collaborates with online retailers and platforms, apps, and large manufacturers.

Ken completed his undergraduate studies in mathematics and economics at Stanford University, his JD at the Harvard Law School, and his PhD at the Stanford Graduate School of Business.

Ken Moon, Kostas Bimpikis, Haim Mendelson (2016), Randomized Markdowns and Online Monitoring, Management Science, Forthcoming.

Haim Mendelson and Ken Moon (Under Review), Growth and Customer Loyalty: Evidence from the App Economy.

Past Courses

OIDD101 INTRODUCTION TO OIDD

OIDD 101 explores a variety of common quantitative modeling problems that arise frequently in business settings, and discusses how they can be formally modeled and solved with a combination of business insight and computerbased tools. The key topics covered include capacity management, service operations, inventory control, structured decision making, constrained optimization and simulation. This course teaches how to model complex business situations and how to master tools to improve business performance. The goal is to provide a set of foundational skills useful for future coursework atWharton as well as providing an overview of problems and techniques that characterize disciplines that comprise Operations and Information Management.

OIDD615 OPERATIONS STRATEGY

Operations strategy is about organizing people and resources to gain a competitive advantage in the delivery of products (both goods and services) to customers. This course approaches this challenge primarily from two perspectives: 1) how should a firm design their products so that they can be profitably offered; 2) how can a firm best organize and acquire resources to deliver its portfolio of products to customers. To be able to make intelligent decisions regarding these highlevel choices, this course also provides a foundation of analytical methods. These methods give students a conceptual framekwork for understanding the linkage between how a firm manages its supply and how well that supply matches the firm's resulting demand. Specific course topics include designing service systems, managing inventory and product variety, capacity planning, approaches to sourcing and supplier management, constructing global supply chains, managing sustainability initiatives, and revenue management. This course emphasizes both quantitative tools and qualitative frameworks. Neither is more important than the other.

Knowledge @ Wharton

How to Turn Online Data into a Pricing Strategy That Works, Knowledge @ Wharton 06/06/2017