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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... View Details
- 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... View Details
- 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... View Details
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... View Details
- 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... View Details
- 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... View Details
- 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... View Details
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
- 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... View Details
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
- 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... View Details
- 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... View Details
- 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... View Details
- 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... View Details
- 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... View Details
- 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... View Details
- 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... View Details
- 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... View Details
- 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... View Details
- 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... View Details
Keywords: Asset Pricing; Goods and Commodities; Price; Risk and Uncertainty; Valuation; Production; Projects; Cash Flow
- 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... View Details
- 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... View Details