Antonio Moreno-Garcia
Antonio Moreno-Garcia

Associate Professor of Operations

Print Overview

Antonio (Toni) Moreno-Garcia is Associate Professor of Operations at the Kellogg School of Management. He received his PhD in Operations and Information Management from The Wharton School of the University of Pennsylvania and has been at Kellogg since 2011. His research focus is on empirical operations management, with a particular emphasis on studying the effect of new technologies on service and supply chain strategies. On that front, he is exploring topics such as service procurement through online service marketplaces, the operations of peer-to-peer markets, and the interaction between online and brick-and-mortar channels in retail. His work has appeared in leading journals such as Management Science, Marketing Science, Manufacturing & Service Operations Management, Information Systems Research, and Sloan Management Review, and has been covered by several media outlets.

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Areas of Expertise
Pricing and Price Perception
Service Management
Supply Chain Design and Management

Print Vita
PhD, 2012, Operations and Information Management, The Wharton School, University of Pennsylvania
M.A., 2010, Statistics, The Wharton School, University of Pennsylvania
M.Sc., 2003, Industrial Engineering, Technical University of Catalonia
M.Sc., 2003, Electrical Engineering, Technical University of Catalonia
B.Sc., 1999, Electrical Engineering, Technical University of Catalonia

Academic Positions
Assistant Professor of Managerial Economics, Kellogg School of Management, Northwestern University, 2011-present
Donald P. Jacobs Scholar/Assistant Professor, Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, 2011-2012

Other Professional Experience
Business Development Manager, Barcelona Supercomputing Center, 2005-2007
Project Manager, Barcelona City Council, 2001-2005
IT Engineer, Amena, 1998-2000

Honors and Awards
Skinner Early-Career Research Accomplishments Award, Production and Operations Management Society (POMS)
Manufacturing and Service Operations Management Meritorious Service Award, Manufacturing and Service Operations Management
Manufacturing and Service Operations Management Meritorious Service Award, Manufacturing & Service Operations Management
Management Science Meritorious Service Award, Management Science
Winner of the POMS Applied Research Challenge, Production and Operations Management Society (POMS)
Winner of the Overall Best Paper Award in the Workshop of Information Systems and Economics, WISE (Workshop of Information Systems and Economics) (

Editorial Positions
Ad-hoc Reviewer, Quantitative Marketing and Economics, 2017
Ad-hoc Reviewer, Information Systems Research
Ad-hoc Reviewer, Management Science
Ad-hoc Reviewer, Operations Research
Ad-hoc Reviewer, Manufacturing & Service Operations Management
Ad-hoc Reviewer, Production and Operations Management
Ad-hoc Reviewer, Journal of Retailing
Ad-hoc Reviewer, MIT Sloan Management Review
Ad-hoc Reviewer, California Management Review
Ad-hoc Reviewer, Communications of the ACM
Ad-hoc Reviewer, International Journal of eCommerce
Ad-hoc Reviewer, MSOM Conference and SIGS

Print Research
Research Interests
Empirical operations management, pricing, supply chain management, service marketplaces, empirical industrial organization, retail operations, business analytics

Gallino, Santiago and Antonio Moreno-Garcia. 2014. Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information. Management Science.
Moreno-Garcia, Antonio and Christian Terwiesch. 2014. Doing Business with Strangers: Reputation in Online Service Marketplaces. Information Systems Research.
Bell, David, Santiago Gallino and Antonio Moreno-Garcia. 2014. How to Win in an Omnichannel World. MIT Sloan Management Review. 56(1)
Moreno-Garcia, Antonio and Christian Terwiesch. 2015. Pricing and Production Flexibility: An Empirical Study of the U.S. Automotive Industry. Manufacturing & Service Operations Management (M&SOM). 17(4)
Moreno-Garcia, Antonio and Christian Terwiesch. 2017. The Effects of Product Line Breadth: Evidence from the U.S. Automotive Industry. Marketing Science.
Cui, Ruomeng, Santiago Gallino, Antonio Moreno-Garcia and Dennis Zhang. Forthcoming. The Operational Value of Social Media Information. Production and Operations Management.
Gallino, Santiago, Antonio Moreno-Garcia and Yannis Stamatopoulos. Forthcoming. Channel Integration, Sales Dispersion, and Inventory Management. Management Science.
Bell, David, Santiago Gallino and Antonio Moreno-Garcia. Forthcoming. Offline Showrooms in Omni-Channel Retail: Demand and Operational Benefits. Management Science.
Working Papers
Bassamboo, AchalAntonio Moreno-Garcia and Ioannis Stamatopoulos. 2017. The Effects of Menu Costs on Supply Chain Efficiency: Evidence from the Adoption of Electronic Shelf Label Technology.
Karacaoglu, Nil and Antonio Moreno-Garcia. 2017. Perception of Dynamic Pricing in On-Demand Services.
Bandi, ChaithanyaAntonio Moreno-Garcia and Richard Xu. 2017. The Hidden Costs of Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets.
Karacaoglu, Nil, Antonio Moreno-Garcia and Can Ozkan. 2017. Strategically Giving Service: Visibility and Efficiency in Service Markets.
Bassamboo, AchalAntonio Moreno-Garcia and Yannis Stamatopoulos. 2017. Optimal Replenishment in Vendor Managed Inventory Systems Using Point-of-Sales Data.
Gurvich, ItaiMartin Lariviere and Antonio Moreno-Garcia. 2015. Operations in the on-demand economy: Staffing services with self-scheduling capacity.
Gallino, Santiago and Antonio Moreno-Garcia. 2017. The Value of Fit Information in Online Retail: Evidence from a Randomized Field Experiment.
Bassamboo, Achal, Ruomeng Cui and Antonio Moreno-Garcia. 2015. The Wisdom of Crowds in Operations: Forecasting Using Prediction Markets.
Li, Jun, Antonio Moreno-Garcia and Dennis Zhang. 2017. Pros vs. Joes: Agent Pricing Behavior in the Sharing Economy.
Gallino, Santiago and Antonio Moreno-Garcia. 2016. Growth Strategies for an Online Retailer (with Santiago Gallino).
Gallino, Santiago and Antonio Moreno-Garcia. 2014. Evaluating an Omnichannel Intervention in Retail.
Gurvich, ItaiMartin Lariviere and Antonio Moreno-Garcia. 2014. Managing Independent Agents at Maison Service Providers.

Print Teaching
Teaching Interests
Operations management
Full-Time / Evening & Weekend MBA
Operations Management (OPNS-430-0)
1Ys: This course is typically waived through the admissions process or the equivalent course Operations Management (Turbo) (OPNS-438A) was completed during the Summer term. MMMs: This course is equivalent to the MMM core course Designing and Managing Business Processes (OPNS-440) Operations management is the management of business processes--that is, the management of the recurring activities of a firm. This course aims to familiarize students with the problems and issues confronting operations managers, and to provide the language, concepts, insights and tools to deal with these issues to gain competitive advantage through operations. We examine how different business strategies require different business processes and how different operational capabilities allow and support different strategies to gain competitive advantage. A process view of operations is used to analyze different key operational dimensions such as capacity management, cycle time management, supply chain and logistics management, and quality management. Finally, we connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition and business re-engineering.

Emerging Areas in Operations Managements (OPNS-525-0)
This course offers an advanced introduction to topics at the intersection of statistical (machine) learning and sequential decision-making. A tentative course plan is as follows. We will begin by covering classic work on optimal hypothesis testing when data can be gathered sequentially and interactively. The second part of the class focuses on bandit learning and the design and analysis of algorithms that balance exploration/exploitation. The last part of the course introduces reinforcement learning, including methods for value function approximation and algorithms for efficient exploration.