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  • All HBS Web  (536)
    • News  (94)
    • Research  (390)
    • Events  (16)
  • Faculty Publications  (145)

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  • All HBS Web  (536)
    • News  (94)
    • Research  (390)
    • Events  (16)
  • Faculty Publications  (145)
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  • 2010
  • Chapter

The Impact of Employer Matching on Savings Plan Participation under Automatic Enrollment

By: John Beshears, James J. Choi, David Laibson and Brigitte C. Madrian
Existing research has documented the large impact that automatic enrollment has on savings plan participation. All the companies examined in these studies, however, have combined automatic enrollment with an employer match. This raises a question about how effective... View Details
Keywords: Motivation and Incentives; Consumer Behavior; Personal Finance; Investment Funds; Microeconomics; Compensation and Benefits
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Beshears, John, James J. Choi, David Laibson, and Brigitte C. Madrian. "The Impact of Employer Matching on Savings Plan Participation under Automatic Enrollment." In Research Findings in the Economics of Aging, edited by David A. Wise, 311–327. Chicago: University of Chicago Press, 2010.
  • November 2024
  • Article

Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge

By: Alberto Cavallo and Oleksiy Kryvtsov
We study how within-store price variation changes with inflation, and whether households exploit it to attenuate the inflation burden. We use micro price data for food products sold by 91 large multi-channel retailers in ten countries between 2018 and 2024. Measuring... View Details
Keywords: Macroeconomics; Inflation and Deflation; Price; Consumer Behavior; Personal Finance; Product Positioning
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Cavallo, Alberto, and Oleksiy Kryvtsov. "Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge." Journal of Monetary Economics 148 (November 2024).
  • Research Summary

Overview

By: Reshmaan N. Hussam

Engaged with field work in South Asia and East Africa, Professor Hussam places a focus on exploring questions with strong theoretical motivation in the economics literature as well as relevant downstream policy implications. Her research spans four broad interests.... View Details

  • 2023
  • Working Paper

Algorithm Failures and Consumers' Response: Evidence from Zillow

By: Isamar Troncoso, Runshan Fu, Nikhil Malik and Davide Proserpio
In November 2021, Zillow announced the closure of its iBuyer business. Popular media largely attributed this to a failure of its proprietary forecasting algorithm. We study the response of consumers to Zillow’s iBuyer business closure. We show that after the iBuyer... View Details
Keywords: Algorithmic Pricing; Price; Forecasting and Prediction; Consumer Behavior; Real Estate Industry
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Troncoso, Isamar, Runshan Fu, Nikhil Malik, and Davide Proserpio. "Algorithm Failures and Consumers' Response: Evidence from Zillow." Working Paper, July 2023.
  • August 2019
  • Article

When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
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Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
  • 2011
  • Working Paper

Do Not Trash the Incentive! Monetary Incentives and Waste Sorting

By: Alessandro Bucciol, Natalia Montinari and Marco Piovesan
This paper examines whether monetary incentives are an effective tool for increasing domestic waste sorting. We exploit the exogenous variation in the pricing systems experienced during the 1999-2008 decade by the 95 municipalities in the district of Treviso (Italy).... View Details
Keywords: Household; Cost Management; Consumer Behavior; Wastes and Waste Processing; Motivation and Incentives; Public Administration Industry; Italy
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Bucciol, Alessandro, Natalia Montinari, and Marco Piovesan. "Do Not Trash the Incentive! Monetary Incentives and Waste Sorting." Harvard Business School Working Paper, No. 11-093, March 2011.
  • Article

Moment-to-moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing

By: Thales S. Teixeira, Michel Wedel and Rik Pieters
We develop a conceptual framework for understanding the impact that branding activity (the audio-visual representation of brands) and consumers' dispersion of attention have on their moment-to-moment avoidance decisions during television advertising. It formalizes this... View Details
Keywords: Advertising; Decision Choices and Conditions; Television Entertainment; Brands and Branding; Consumer Behavior; Mathematical Methods
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Teixeira, Thales S., Michel Wedel, and Rik Pieters. "Moment-to-moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing." Marketing Science 29, no. 5 (September–October 2010): 783–804. (Lead Article.)
  • January 2024
  • Article

Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger

By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
Keywords: Platform Differentiation; Digital Platforms; Network Effects; Measurement and Metrics; Mergers and Acquisitions; Outcome or Result
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Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." Management Science 70, no. 1 (January 2024): 464–483.
  • 2020
  • Working Paper

Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger

By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
Keywords: Platform Differentiation; Digital Platforms; Network Effects; Measurement and Metrics; Mergers and Acquisitions; Outcome or Result
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Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." NBER Working Paper Series, No. 28047, November 2020.
  • 10 Dec 2013
  • First Look

First Look: December 10

Brands The case explores the collateralization of intellectual property in a loan agreement between a highly leveraged apparel company and a large U.S. bank. Leveraging intangibles in the credit market is a new practice that has significantly grown over the past few... View Details
Keywords: Sean Silverthorne
  • 08 Nov 2011
  • First Look

First Look: Nov. 8

industry to measure to what extent waiting-time performance impacts different firms' market shares and price decisions. We report on a large-scale empirical industrial organization study in which the demand equations for fast-food... View Details
Keywords: Sean Silverthorne
  • May–June 2023
  • Article

Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail

By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
The impact of delays has been widely studied in various offline services. The focus of this study is online services, and we explore the impact of in-process delays—measured by website speed—on customer behavior. We leverage novel retail and website speed data to... View Details
Keywords: Online Retail; Quasi-experiments; Abandonment; Synthetic Control; E-commerce; Internet and the Web; Consumer Behavior; Policy; Retail Industry
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Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail." Operations Research 71, no. 3 (May–June 2023): 876–894.
  • 15 Sep 2008
  • Research & Ideas

The Coming Transformation of Social Enterprise

nation's social enterprise organizations. Today, the United States has more than 1.4 million non-profit organizations, and they account for 5 percent of GDP. Annual contributions have grown faster than the economy for years, and experts predict an avalanche of cash... View Details
Keywords: by Roger Thompson
  • September–October 2020
  • Article

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details
Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
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Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Marketing Science 39, no. 5 (September–October 2020): 956–973.
  • 27 Jan 2015
  • First Look

First Look: January 27

The Effect of Service Quality and Competition on Demand By: Balasubramanian, Karthik, and David F. Drake Abstract—The use of electronic money transfer through cellular networks ("mobile money") is rapidly increasing in the... View Details
Keywords: Sean Silverthorne
  • September 2020
  • Article

Customer Supercharging in Experience-Centric Channels

By: David R. Bell, Santiago Gallino and Antonio Moreno
We conjecture that for online retailers, experience-centric offline store formats do not simply expand market coverage, but rather, serve to significantly amplify future positive customer behaviors, both online and offline. We term this phenomenon “supercharging” and... View Details
Keywords: Retail Operations; Marketing-operations Interface; Omnichannel Retailing; Experience Attributes; Quasi-experimental Methods; Operations; Internet and the Web; Marketing Channels; Consumer Behavior; Retail Industry
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Bell, David R., Santiago Gallino, and Antonio Moreno. "Customer Supercharging in Experience-Centric Channels." Management Science 66, no. 9 (September 2020).
  • 2019
  • Working Paper

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details
Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
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Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Harvard Business School Working Paper, No. 14-020, September 2013. (Revised December 2019. Forthcoming at Marketing Science.)
  • June 2024 (Revised September 2024)
  • Case

Major League Baseball: Changing the Rules of America's Pastime

By: Stephen A. Greyser, Mac Levin and Brent Schwarz
This case describes the efforts of Major League Baseball (MLB) to make meaningful changes in the rules affecting the ways the game is played. These changes are intended to speed the pace of the game and make it more appealing to younger fans. The principal changes... View Details
Keywords: Change Management; Age; Games, Gaming, and Gambling; Leading Change; Organizational Change and Adaptation; Demand and Consumers; Sports Industry
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Greyser, Stephen A., Mac Levin, and Brent Schwarz. "Major League Baseball: Changing the Rules of America's Pastime." Harvard Business School Case 924-307, June 2024. (Revised September 2024.)
  • 15 Sep 2015
  • First Look

September 15, 2015

account for the majority of sales and revenue. To tackle this challenge, we use machine learning techniques to estimate historical lost sales and predict future demand of new products. The nonparametric... View Details
Keywords: Sean Silverthorne
  • 20 Feb 2008
  • First Look

First Look: February 20, 2008

highlight a two-stage process for marketing resource allocation. In stage one, a model of demand is estimated. This model empirically assesses the impact of marketing actions on consumer demand of a... View Details
Keywords: Martha Lagace
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