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- June 2024
- Article
Information Spillovers in Experience Goods Competition
By: Zhuoqiong Charlie Chen, Christopher Stanton and Catherine Thomas
When experience goods compete, consuming one product can be informative about value for similar untried products. We study a two-period model of duopoly competition in markets that have this feature and where firms can price discriminate between consumers based on...
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Chen, Zhuoqiong Charlie, Christopher Stanton, and Catherine Thomas. "Information Spillovers in Experience Goods Competition." Management Science 70, no. 6 (June 2024): 3923–3950.
- 2022
- Working Paper
Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market
By: Zach Y. Brown, Mark Egan, Jihye Jeon, Chuqing Jin and Alex A. Wu
Index funds are one of the most common ways investors access financial markets and are perceived to be a transparent and low-cost alternative to active investment management. Despite these purported virtues of index fund investing and the introduction of new products...
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Keywords:
Mutual Funds;
Passive Investing;
Asset Management;
Financial Markets;
Investment Funds;
Financial Management;
Financial Services Industry;
United States
Brown, Zach Y., Mark Egan, Jihye Jeon, Chuqing Jin, and Alex A. Wu. "Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market." Harvard Business School Working Paper, No. 24-019, October 2023. (NBER Working Paper Series, No. 31778, October 2023.)
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea...
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Keywords:
Algorithm Bias;
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Pricing Algorithms;
A/B Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
E-commerce;
Analytics and Data Science;
Retail Industry;
Apparel and Accessories Industry;
United States
- Article
How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships
By: Ayelet Israeli, Fiona Scott-Morton, Jorge Silva-Risso and Florian Zettelmeyer
This paper investigates empirically the effect of market power on dynamic pricing in the presence of inventories. Our setting is the auto retail industry; we analyze how automotive dealerships adjust prices to inventory levels under varying degrees of market power. We...
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Keywords:
Dynamic Pricing;
Market Power;
Pricing;
Price Discrimination;
Inventory Production;
Marketing;
Price;
Competitive Strategy;
Auto Industry;
Retail Industry
Israeli, Ayelet, Fiona Scott-Morton, Jorge Silva-Risso, and Florian Zettelmeyer. "How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships." Management Science 68, no. 2 (February 2022): 895–916.
- Winter 2021
- Article
Mobile Internet Usage and Usage-based Pricing
By: Jeffrey Prince and Shane Greenstein
Using data on mobile Internet usage of thousands of individuals, we provide some of the first analyses linking mobile usage to key demographics such as income. We find a reverse-U relationship between mobile Internet usage and income—notably different than the...
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Keywords:
Mobile Internet Usage;
Pricing Strategy;
Internet and the Web;
Mobile and Wireless Technology;
Demographics;
Income;
Price;
Strategy
Prince, Jeffrey, and Shane Greenstein. "Mobile Internet Usage and Usage-based Pricing." Journal of Economics & Management Strategy 30, no. 4 (Winter 2021): 760–783.
- September–October 2021
- Article
Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb
By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among...
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Keywords:
Smart Pricing;
Pricing Algorithm;
Machine Bias;
Discrimination;
Racial Disparity;
Social Inequality;
Airbnb Revenue;
Revenue;
Race;
Equality and Inequality;
Prejudice and Bias;
Price;
Mathematical Methods;
Accommodations Industry
Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no. 5 (September–October 2021): 813–820.
- September 2020 (Revised July 2022)
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Promotion;
"Marketing Analytics";
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-Commerce Strategy;
Discrimination;
Targeting;
Targeted Advertising;
Pricing Algorithms;
Ethical Decision Making;
Customer Heterogeneity;
Marketing;
Race;
Ethnicity;
Gender;
Diversity;
Prejudice and Bias;
Marketing Communications;
Analytics and Data Science;
Analysis;
Decision Making;
Ethics;
Customer Relationship Management;
E-commerce;
Retail Industry;
Apparel and Accessories Industry;
United States
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
"Marketing Analytics";
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analytics;
Data Analysis;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Targeting;
Pricing Algorithms;
A/B Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Algorithmic Bias;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
E-commerce;
Analytics and Data Science;
Retail Industry;
Apparel and Accessories Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- December 2019
- Article
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even...
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Keywords:
Online Retailing;
Friction;
Effor;
Search Costs;
Price Discrimination;
Marketing;
Consumer Behavior;
Strategy;
Price;
E-commerce;
Retail Industry;
Fashion Industry
Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Journal of Marketing Research (JMR) 56, no. 6 (December 2019): 944–959.
- June 2019
- Article
Brokers vs. Retail Investors: Conflicting Interests and Dominated Products
By: Mark Egan
I study how brokers distort household investment decisions. Using a novel convertible bond dataset, I find that consumers often purchase dominated bonds—cheap and expensive versions of otherwise identical bonds coexist in the market. The empirical evidence suggests...
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Keywords:
Brokers;
Fiduciary Standard;
Consumer Finance;
Structured Products;
Household;
Investment;
Decisions;
Motivation and Incentives;
Conflict of Interests
Egan, Mark. "Brokers vs. Retail Investors: Conflicting Interests and Dominated Products." Journal of Finance 74, no. 3 (June 2019): 1217–1260.
- 2019
- Working Paper
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even...
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Keywords:
E-commerce;
Online Retailing;
Friction;
Effor;
Search Costs;
Price Discrimination;
Consumer Behavior;
Price;
Search Technology
Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Harvard Business School Working Paper, No. 19-080, January 2019.
- November–December 2017
- Article
Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy
By: Pavel Kireyev, Vineet Kumar and Elie Ofek
Multichannel retailing has created several new strategic choices for retailers. With respect to pricing, an important decision is whether to offer a “self-matching policy,” which allows a multichannel retailer to offer the lowest of its online and store prices to...
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Keywords:
Price Self-matching;
Multichannel Retailing;
Pricing Strategy;
Online Shopping;
Omnichannel;
Price Discrimination;
Price;
Strategy;
Competitive Strategy
Kireyev, Pavel, Vineet Kumar, and Elie Ofek. "Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy." Marketing Science 36, no. 6 (November–December 2017): 908–930.
- Article
Repairing the Damage: The Effect of Price Knowledge and Gender on Auto-Repair Price Quotes
By: Meghan Busse, Ayelet Israeli and Florian Zettelmeyer
In this paper we investigate whether sellers treat consumers differently on the basis of how well informed consumers appear to be. We implement a large-scale field experiment in which callers request price quotes from automotive repair shops. We show that sellers alter...
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Keywords:
Pricing;
Price Discrimination;
Automobiles;
Field Experiment;
Information;
Fairness;
Price;
Knowledge Use and Leverage;
Internet and the Web;
Gender;
Service Industry;
Auto Industry
Busse, Meghan, Ayelet Israeli, and Florian Zettelmeyer. "Repairing the Damage: The Effect of Price Knowledge and Gender on Auto-Repair Price Quotes." Journal of Marketing Research (JMR) 54, no. 1 (February 2017): 75–95.
- March 2016
- Article
To Groupon or Not to Groupon: The Profitability of Deep Discounts
By: Benjamin Edelman, Sonia Jaffe and Scott Duke Kominers
We examine the profitability and implications of online discount vouchers, a relatively new marketing tool that offers consumers large discounts when they prepay for participating firms' goods and services. Within a model of repeat experience good purchase, we examine...
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Keywords:
Voucher Discounts;
Groupon;
Experience Goods;
Repeat Purchase;
Internet and the Web;
Marketing Strategy;
Marketing Communications
Edelman, Benjamin, Sonia Jaffe, and Scott Duke Kominers. "To Groupon or Not to Groupon: The Profitability of Deep Discounts." Marketing Letters 27, no. 1 (March 2016): 39–53. (First circulated in June 2011. Featured in Working Knowledge: Is Groupon Good for Retailers? Excerpted in HBR Blogs: To Groupon or Not To Groupon: New Research on Voucher Profitability.)
- December 2011
- Article
Platform Envelopment
By: Thomas R. Eisenmann, Geoffrey Parker and Marshall Van Alstyne
Due to network effects and switching costs in platform markets, entrants generally must offer revolutionary functionality. We explore a second entry path that does not rely upon Schumpeterian innovation: platform envelopment. Through envelopment, a provider in one...
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Keywords:
Digital Platforms;
Business and Stakeholder Relations;
Economic Systems;
Development Economics;
Business or Company Management;
Business Strategy;
Network Effects;
Information Technology Industry;
Technology Industry
Eisenmann, Thomas R., Geoffrey Parker, and Marshall Van Alstyne. "Platform Envelopment." Strategic Management Journal 32, no. 12 (December 2011): 1270–1285.
- 2007
- Working Paper
Platform Envelopment
By: Thomas Eisenmann, Geoffrey Parker and Marshall Van Alstyne
Due to network effects and switching costs in platform markets, entrants generally must offer revolutionary functionality. We explore a second entry path that does not rely upon Schumpeterian innovation: platform envelopment. Through envelopment, a provider in one...
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Eisenmann, Thomas, Geoffrey Parker, and Marshall Van Alstyne. "Platform Envelopment." Harvard Business School Working Paper, No. 07-104, June 2007. (Revised September 2008, October 2009, July 2010.)
- February 2000 (Revised August 2000)
- Case
Priceline WebHouse Club
By: Thomas R. Eisenmann and Jon K Rust
Priceline empowered consumers to "name their own price" for airline tickets and hotel rooms; then it shopped these offers to marketers. Priceline's founder Jay Walker described the resulting transactions as a new ecosystem, that helped consumers realize lower prices...
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Keywords:
Business Model;
Strategy;
Disruptive Innovation;
Internet and the Web;
Entrepreneurship;
Retail Industry
Eisenmann, Thomas R., and Jon K Rust. "Priceline WebHouse Club." Harvard Business School Case 800-287, February 2000. (Revised August 2000.)
- 1998
- Article
Alternative Models of Uncertain Commodity Prices for Use with Modern Asset Pricing Methods
By: Malcolm Baker, E. S. Mayfield and John Parsons
This paper provides an introduction to alternative models of uncertain commodity prices. A model of commodity price movements is the engine around which any valuation methodology for commodity production projects is built, whether discounted cash flow (DCF) models or...
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Keywords:
Asset Pricing;
Goods and Commodities;
Price;
Risk and Uncertainty;
Valuation;
Production;
Projects;
Cash Flow
Baker, Malcolm, E. S. Mayfield, and John Parsons. "Alternative Models of Uncertain Commodity Prices for Use with Modern Asset Pricing Methods." Energy Journal 19, no. 1 (1998): 115–148.
- February 1991 (Revised August 2001)
- Case
Ann Hopkins (A)
By: Joseph L. Badaracco Jr. and Ilyse Barkan
Intended to help students understand the many barriers organizations face as their members and their management ranks grow more diverse. As a case on business ethics, it encourages students to discuss what "fairness" and "diversity" mean when an organization is also...
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Keywords:
Ethics;
Employee Relationship Management;
Organizational Culture;
Organizational Structure;
Problems and Challenges;
Groups and Teams
Badaracco, Joseph L., Jr., and Ilyse Barkan. "Ann Hopkins (A)." Harvard Business School Case 391-155, February 1991. (Revised August 2001.)
- Forthcoming
- Article
Dynamic Competition for Customer Memberships
By: Cristian Chica, Julian Jimenez-Cardenas and Jorge Tamayo
A competitive two-period membership (subscription) market is analyzed. Two symmetric firms charge a “membership” fee that allows consumers to buy products or services at a given unit price for both periods. Firms can choose between long- or short-term memberships. When...
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Keywords:
Competitive Price Discrimination;
Membership;
Dynamic Competition;
Competition;
Price;
Consumer Behavior;
Business Model
Chica, Cristian, Julian Jimenez-Cardenas, and Jorge Tamayo. "Dynamic Competition for Customer Memberships." Journal of Economics & Management Strategy (forthcoming). (Pre-published online August 12, 2024.)