Publications

June 2021
Article

Making Marketplaces Safe: Dominant Individual Rationality and Applications to Market Design

By: Benjamin N. Roth and Ran I. Shorrer

Often market designers cannot force agents to join a marketplace rather than using pre-existing institutions. We propose a new desideratum for marketplace design that guarantees the safety of participation: Dominant Individual Rationality (DIR). A marketplace is DIR if... View Details

Keywords: Dominant Individual Rationality; Market Design; Safety

SSRN

TeachingInterests

Behavioral Economics and Applications in Markets (Econ 970, Spring 2013 and 2014)

Second-year undergraduate course introducing students to academic research in the field of behavioral economics. The course covers key models of time-inconsistent preferences, overconfidence, social preferences, and projection bias. The students are introduced to... View Details

Article

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan

Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details

Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software

Working Paper

Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

By: Flora Feng, Charis Li and Shunyuan Zhang

Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details

Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing

March 1986 (Revised July 1986)
Case

Applications for Financial Futures

Consists of a series of four brief descriptions of the use of financial futures as hedging vehicles: a savings and loan hedging the rollover of three-month money market certificates with T-bill futures, a corporate debt issuer hedging the cost of a future debt issue... View Details

Keywords: Financial Instruments

Educators

May 2021
Simulation

Customer Compatibility Exercise Application

By: Ryan W. Buell

Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort... View Details

Keywords: Customer Compatibility; Customer Relationship Management; Strategy; Service Operations; Service Delivery; Performance Efficiency; Analysis; Consumer Behavior; Analytics and Data Science

February 2015
Article

Risk, Information, and Incentives in Online Affiliate Marketing

By: Benjamin Edelman and Wesley Brandi

We examine online affiliate marketing programs in which merchants oversee thousands of affiliates they have never met. Some merchants hire outside specialists to set and enforce policies for affiliates, while other merchants ask their ordinary marketing staff to... View Details

Keywords: Affiliate Marketing; Incentives; Fraud; Advertising; Internet and the Web; Marketing Communications; Ethics; Digital Marketing

March 2019
Case

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli and David Lane

DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details

Educators

Article

Entry into Platform-based Markets

By: Feng Zhu and Marco Iansiti

This paper examines the relative importance of platform quality, indirect network effects, and consumer expectations on the success of entrants in platform-based markets. We develop a theoretical model and find that an entrant's success depends on the strength of... View Details

Keywords: Platform-based Markets; Winnter-take-all; First-mover Advantage; Indirect Network Effects; Video Game Industry; Quality; Network Effects; Market Entry and Exit; Digital Platforms; Motion Pictures and Video Industry

March 2008
Course Overview Note

Dynamic Markets

By: Joshua D. Coval and Erik Stafford

The Dynamic Markets course at Harvard Business School is organized around the hands-on application of financial decision making in a wide variety of capital market settings. The course relies heavily on in-class simulations of a range of market settings where students... View Details

Keywords: Value Creation; Decision Making; Capital Markets; Competitive Strategy; Profit; Applications and Software; Information; Strategy; Price; Outcome or Result; Curriculum and Courses; Theory

05 Jul 2016
Working Paper Summaries

The Impact of Campus Scandals on College Applications

Keywords: by Michael Luca, Patrick Rooney, and Jonathan Smith; Education

November 2020
Teaching Note

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli

Teaching Note for HBS Case No. 519-010. DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals.... View Details

April 2024
Article

Detecting Routines: Applications to Ridesharing CRM

By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman

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... View Details

Keywords: Ride-sharing; Routine; Machine Learning; Customer Relationship Management; Consumer Behavior; Segmentation

February 2017
Article

How Much Is a Win Worth? An Application to Intercollegiate Athletics

By: Doug J. Chung

Intercollegiate athletics in the United States have become a multibillion-dollar industry over the past several decades. In this study, we investigate the short- and long-term direct monetary effects of operating a winning athletics program for an academic institution... View Details

Keywords: Dynamic Panel Data; Heterogeneity; Instrumental Variables; Intercollegiate Athletics; Educational Finance; Entertainment Marketing; Higher Education; Marketing; Sports; Revenue; Education Industry; United States

January 2018
Article

Who Gets Hired? The Importance of Competition Among Applicants

By: Edward P. Lazear, Kathryn L. Shaw and Christopher Stanton

Despite seeming to be an important requirement for hiring, the concept of a slot is absent from virtually all of economics. Macroeconomic studies of vacancies and search come closest, but the implications of slot-based hiring for individual worker outcomes has not been... View Details

Keywords: Hiring; Selection and Staffing; Employment; Competency and Skills

2023
Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan

he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details

Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing

23 Mar 2018
Working Paper Summaries

Experience Markets: An Application to Outsourcing and Hiring

Keywords: by Christopher T. Stanton and Catherine Thomas

February 2011 (Revised February 2012)
Case

Online Marketing at Big Skinny

By: Benjamin Edelman and Scott Duke Kominers

Describes a wallet maker's application of seven Internet marketing technologies: display ads, algorithmic search, sponsored search, social media, interactive content, online distributors, and A/B testing. Provides concise introductions to the key features of each... View Details

Keywords: Advertising Campaigns; Digital Marketing; Resource Allocation; Marketing Strategy; Performance Evaluation; Internet and the Web; Retail Industry

Educators