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Show Results For
- All HBS Web
(8,946)
- People (21)
- News (1,751)
- Research (5,542)
- Events (58)
- Multimedia (75)
- Faculty Publications (3,868)
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- 26 Jan 2015
- Working Paper Summaries
The Rise and Fall of Demand for Securitizations
- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
- January 1979 (Revised February 1987)
- Background Note
Note on Market and Consumer Research
Discusses scope of market and consumer research, steps in the research process, and how managers use research in marketing and decision-making. View Details
Reibstein, David J., and L. Scott Ward. "Note on Market and Consumer Research." Harvard Business School Background Note 579-136, January 1979. (Revised February 1987.)
- 2014
- Working Paper
The Rise and Fall of Demand for Securitizations
By: Sergey Chernenko, Samuel G. Hanson and Adi Sunderam
Collateralized debt obligations (CDOs) and private-label mortgage-backed securities (MBS) backed by nonprime loans played a central role in the recent financial crisis. Little is known, however, about the underlying forces that drove investor demand for these... View Details
Chernenko, Sergey, Samuel G. Hanson, and Adi Sunderam. "The Rise and Fall of Demand for Securitizations." NBER Working Paper Series, No. 20777, December 2014.
- April 2010
- Teaching Note
Metabical: Pricing, Packaging, and Demand Forecasting Recommendations for a New Weight Loss Drug (Brief Case)
By: John A. Quelch and Heather Beckham
Teaching Note to 4183 View Details
- 2021
- Article
Consumer Disclosure
By: Tami Kim, Kate Barasz and Leslie John
As technological advances enable consumers to share more information in unprecedented ways, today’s disclosure takes on a variety of new forms, triggering a paradigm shift in what “disclosure” entails. This review introduces two factors to conceptualize consumer... View Details
Keywords: Disclosure; Passive Disclosure; Information; Internet and the Web; Consumer Behavior; Situation or Environment
Kim, Tami, Kate Barasz, and Leslie John. "Consumer Disclosure." Consumer Psychology Review 4 (2021): 59–69.
- November 2007
- Article
Measuring Consumer and Competitive Impact with Elasticity Decompositions
Marketing investments are designed to change consumer behavior in ways that help goods compete in the marketplace. Previous research has focused on using elasticity decompositions to measure how these investments affect either consumer decision making or competing... View Details
Keywords: Decision Choices and Conditions; Investment Return; Marketing Strategy; Consumer Behavior; Measurement and Metrics; Mathematical Methods; Competitive Advantage
Steenburgh, Thomas J. "Measuring Consumer and Competitive Impact with Elasticity Decompositions." Journal of Marketing Research (JMR) 44, no. 4 (November 2007): 636–646.
- 05 Jul 2006
- Working Paper Summaries
Measuring Consumer and Competitive Impact with Elasticity Decompositions
- Forthcoming
- Article
Supply and Demand and the Term Structure of Interest Rates
By: Robin Greenwood, Samuel G. Hanson and Dimitri Vayanos
We survey the growing literature emphasizing the role that supply-and-demand forces play in shaping the term structure of interest rates. Our starting point is the Vayanos and Vila (2009, 2021) model of the term structure of default-free bond yields, which we present... View Details
Greenwood, Robin, Samuel G. Hanson, and Dimitri Vayanos. "Supply and Demand and the Term Structure of Interest Rates." Annual Review of Financial Economics (forthcoming). (Pre-published online April 19, 2024.)
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Working Conditions; Performance Productivity
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
- Article
Consumer Behavior, Retailer Power and Performance in Consumer Goods Industries
By: M. E. Porter
Keywords: Consumer Behavior; Performance; Goods and Commodities; Supply and Industry; Consumer Products Industry
Porter, M. E. "Consumer Behavior, Retailer Power and Performance in Consumer Goods Industries." Review of Economics and Statistics 56, no. 4 (November 1974): 419–436.
- September 2010 (Revised December 2010)
- Case
Santander Consumer Finance
By: J. Gunnar Trumbull, Elena Corsi and Andrew Barron
A Spanish company has to decide if they should expand into the fragmented European consumer finance market and has to make important organizational strategy decisions in the midst of the world economic downturn that followed the 2007 U.S. credit crunch. Since 2002, the... View Details
Keywords: Borrowing and Debt; Financial Markets; International Finance; Personal Finance; Consolidation; Corporate Strategy; Expansion; Financial Services Industry; European Union; Spain
Trumbull, J. Gunnar, Elena Corsi, and Andrew Barron. "Santander Consumer Finance." Harvard Business School Case 711-015, September 2010. (Revised December 2010.)
- July 2011 (Revised January 2012)
- Teaching Note
Demand Media (TN)
By: John Deighton and Leora Kornfeld
Teaching Note for 512021. View Details
- August 2022
- Article
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset... View Details
Keywords: Sharing Economy; Airbnb; Property Demand; Computer Vision; Deep Learning; Image Feature Extraction; Content Engineering; Property; Marketing; Demand and Consumers
Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
- Article
Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits
By: David R. Bell, Santiago Gallino and Antonio Moreno
Omnichannel environments where customers shop online and offline at the same retailer are ubiquitous and are deployed by online-first and traditional retailers alike. We focus on the relatively understudied domain of online-first retailers and the engagement of a key... View Details
Keywords: Experience Attributes; Marketing–operations Interface; Omnichannel Retailing; Quasi-experimental Methods; Retail Operations; Showrooms; Marketing Channels; Demand and Consumers; Performance Efficiency; Retail Industry
Bell, David R., Santiago Gallino, and Antonio Moreno. "Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits." Management Science 64, no. 4 (April 2018): 1629–1651. (Winner of the 2014 POMS Applied Research Challenge. Workshop on Information Systems Economics Overall Best Paper Award 2014.)
- Article
Shorting Demand and Predictability of Returns
By: Lauren Cohen, Karl B. Diether and Christopher J. Malloy
Cohen, Lauren, Karl B. Diether, and Christopher J. Malloy. "Shorting Demand and Predictability of Returns." Journal of Investment Management 7, no. 1 (First Quarter 2009): 36–52.