News and Awards
Hortense Fong, 2021 MSI Alden G. Clayton Doctoral Dissertation Proposal Competition, for her submission, “A Theory-Based Interpretable Deep Learning Architecture for Music Emotion.
”Toubia, Olivier, and Andrew T. Stephen. "Intrinsic vs. image-related utility in social media: Why do people contribute content to twitter?." Marketing Science 32.3 (2013): 368-392.
Alisa Wu, a Bernstein Center Doctoral Research Grant for her project titled “Are females more emotional? Gender stereotypes and how to overcome them,”
Lan Luo, for his project titled “Decomposing the Impact of Gender on Facial Discrimination: Using GANs for Modular Stimuli.”
Melanie Brucks for receiving a joint grant from the Sanford C. Bernstein & Co. Center for Leadership and Ethics and the Diversity, Equity and Inclusion Office to pursue a project entitled, "The Great Equalizer: Does Virtual Interaction Reduce Gender Disparities in Classroom Participation?"
Oded Netzer for also receiving a Sanford C. Bernstein Center Faculty Research Grant to pursue a project entitled, " Diversity in U.S. Advertising in Times of Racial Unrest."
Newsletter
What was new in the Marketing Division in 2022?
New Faculty: The Marketing Division is pleased to welcome Professor George Gui.
George Gui
George Zhida Gui is a faculty member in the Marketing Division at Columbia Business School. His research leverages causal inference techniques and behavioral economics to study consumer behaviors in digital marketplaces, with a primary focus on E-commerce and online grocery platforms. He is also broadly interested in enhancing predictive machine learning models and generative AIs by integrating causal inference and economic theory into their training and usage.
Professor Gui received his B.A. with honors in Economics and B.S. in Applied Mathematics from the University of Chicago, and his Ph.D. in Quantitative Marketing from Stanford University Graduate School of Business.
In the Media
The ‘Senior’ Jobs That Require Little or No Experience
Mentioned Faculty (1)
Daniel (Dongil) Keum is an Associate Professor of Management at Columbia Business School. His research interests lie in innovation, organizational structure, labor market policy, and their application to public policy formation. He holds a PhD from NYU Stern School of Business and an AB with high honors in economics and mathematics from Dartmouth College. Prior to pursuing a career in academia, Daniel worked at McKinsey & Company for four years. His primary industry experience is in retail, fashion, and corporate portfolio restructuring.
How Airline "Drip Pricing" Can Disguise the True Cost of Flying
Mentioned Faculty (1)
Vicki Morwitz is the Bruce Greenwald Professor of Business and Professor of Marketing at Columbia University's Graduate School of Business. Professor Morwitz earned a B.S in applied mathematics and computer science from Rutgers University, an M.S. in operations research from Polytechnic Institute of New York (now NYU’s Tandon School), and an M.A. in statistics and a Ph.D. in marketing from the Wharton School at the University of Pennsylvania. Prior to joining Columbia, she served on the faculty of the Stern School at NYU for 28 years.
Why Giving Shoppers an Easy Way to Return Items Has Become Retail Gold
Mentioned Faculty (1)
Matthew Quint is Director of the Center on Global Brand Leadership. Matthew researches, writes, and presents on a wide range of issues critical to building a strong brand. His expertise is in marketing ROI, strategies for marketing in the digital age, and the development of creative and effective brand communications. He is also the producer and host of the Center's BRITE conference.
Should Sustainable Brands Steer Clear of IPOs?
Mentioned Faculty (1)
Mark A. Cohen has been in the retail business since his graduation from Columbia University in 1971. (MBA '71, BS Electrical Engineering '69) He has over 20 years experience in president/chairman, chief executive officer level positions. Most recently he was Chairman/CEO of Sears Canada Inc, Chief Marketing Officer and President of Softlines of Sears Roebuck & Co., Chairman/CEO of Bradlees Inc., and Chairman/CEO of Lazarus Department Stores. He has also held positions with Abraham & Strauss, The Gap, Lord Taylor, Mervyn's and Goldsmith's Department Stores.
AI Will Change Work, for Better and Worse
Mentioned Faculty (1)
Daniel (Dongil) Keum is an Associate Professor of Management at Columbia Business School. His research interests lie in innovation, organizational structure, labor market policy, and their application to public policy formation. He holds a PhD from NYU Stern School of Business and an AB with high honors in economics and mathematics from Dartmouth College. Prior to pursuing a career in academia, Daniel worked at McKinsey & Company for four years. His primary industry experience is in retail, fashion, and corporate portfolio restructuring.
Research
Detecting Routines: Applications to Ridesharing CRM
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines — which we define as repeated behaviors with recurring, temporal structures — for customer management. One reason for this dearth is the difficulty of measuring routines from transaction data, particularly when routines vary substantially across customers. We propose a new approach for doing so, which we apply in the context of ridesharing.
Hidden Markov Models in Marketing
Brand Identity: Brand Naming Process and Brand Linguistics in an International Context
The Lexicon and Grammar of Affect-as-Information in Consumer Decision Making: The GAIM
This chapter examines how the original tenets of the affect-as-information hypothesis can be extended to explain a wide range of judgment phenomena, especially with respect to consumer decision making. To this end, research within social psychology as well as research from other fields such as consumer behavior and behavioral decision making is reviewed. The chapter is organized into three main sections. The first section identifies distinct types of information that people seem to derive from their feelings.