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- April 2021
- Case
Borusan CAT: Monetizing Prediction in the Age of AI (A)
By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. Esra Durgun (Director of Strategy, Digitization, and Innovation) and Ozgur Gunaydin (CEO) seem to have bet their careers on developing Muneccim, a new predictive technology that is designed to...
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Keywords:
Turkey
- April 2021
- Case
StockX: The Stock Market of Things (Abridged)
By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust...
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Keywords:
Markets;
Auctions;
Bids and Bidding;
Demand and Consumers;
Consumer Behavior;
Data and Data Sets;
Market Design;
Market Platforms;
Two-Sided Platforms;
Multi-Sided Platforms;
Market Transactions;
Marketplace Matching;
Supply and Industry;
Analysis;
Price;
Product Marketing;
Product Launch;
Apparel and Accessories Industry;
Fashion Industry;
North and Central America;
United States;
Michigan;
Detroit
- April 2021
- Teaching Note
Drinkworks: Home Bar by Keurig
By: Sunil Gupta and Jonathan Levav
Teaching Note for HBS Case No. 521-010. In the summer of 2018, Drinkworks CEO Nathaniel Davis needed to make a number of go-to-market decisions ahead of his company’s upcoming product launch. Formed through a joint venture between Keurig Dr. Pepper and Anheuser-Busch...
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Keywords:
Marketing;
Marketing Strategy;
Product Marketing;
Product Launch;
Product Positioning;
Markets;
Bids and Bidding;
Demand and Consumers;
Consumer Behavior;
Market Design;
Distribution;
Distribution Channels;
Product;
Product Design;
Product Development;
Business Model;
Customers;
Customer Value and Value Chain;
Decision Making;
Decisions;
Goods and Commodities;
Innovation and Invention;
Technological Innovation;
Business or Company Management;
Growth and Development Strategy;
Research;
Research and Development;
Strategy;
Adoption;
Competitive Advantage;
Segmentation;
Technology;
Hardware;
Value;
Value Creation;
Food and Beverage Industry;
Consumer Products Industry;
North and Central America;
United States
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. 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...
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- March 12, 2021
- Article
Market Design to Accelerate COVID-19 Vaccine Supply
By: Juan Camilo Castillo, Amrita Ahuja, Susan Athey, Arthur Baker, Eric Budish, Tasneem Chipty, Rachel Glennerster, Scott Duke Kominers, Michael Kremer, Greg Larson, Jean Lee, Canice Prendergast, Christopher M. Snyder, Alex Tabarrok, Brandon Joel Tan and Witold Wiecek
Build more capacity, and stretch what we already have.
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- February 12, 2021
- Article
The Commercial Space Age Is Here
By: Matt Weinzierl and Mehak Sarang
In May of 2020, SpaceX made history as the first private company to send humans into space. This marks not only a tremendous technological achievement, but also the first indication that an entirely new “space-for-space” industry—that is, goods and services designed to...
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- January 2021 (Revised February 2021)
- Technical Note
A Three-Part Framework for Entrepreneurial Marketplace Design
- January 2021
- Article
Chain Stability in Trading Networks
By: John William Hatfield, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky and Alexander Westkamp
We show that in general trading networks with bilateral contracts, a suitably adapted chain stability concept (Ostrovsky, 2008) is equivalent to stability (Hatfield and Kominers, 2012; Hatfield et al., 2013) if all agents' preferences are fully substitutable and...
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- December 2020
- Article
The Parable of the Auctioneer: Complexity in Paul R. Milgrom's Discovering Prices
By: Scott Duke Kominers and Alexander Teytelboym
Designing marketplaces in complex settings requires both novel economic theory and real-world engineering, often drawing upon ideas from fields such as computer science and operations research. In Discovering Prices, Milgrom (2017) explains the theory and design...
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- 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...
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- October 2020
- Article
Comparative Statics for Size-Dependent Discounts in Matching Markets
By: David Delacretaz, Scott Duke Kominers and Alexandru Nichifor
We prove a natural comparative static for many-to-many matching markets in which agents’ choice functions exhibit size-dependent discounts: reducing the extent to which some agent discounts additional partners leads to improved outcomes for the agents on the other side...
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- September 2020 (Revised April 2021)
- 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;
E-commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Targeting;
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;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020 (Revised April 2021)
- Exercise
Artea (B): Including Customer-level Demographic Data
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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- September 2020 (Revised April 2021)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
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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- September 2020 (Revised March 2021)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
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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- September 2020 (Revised December 2020)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. 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...
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- September 2020 (Revised March 2021)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. 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...
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- September 2020
- Case
True North: Pioneering Analytics, Algorithms and Artificial Intelligence
By: Karim R. Lakhani, Kairavi Dey and Hannah Mayer
True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented...
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- September 2020
- Case
Uber at a Crossroads (2017)
By: Ramon Casadesus-Masanell and Karen Elterman
This case describes the history of Uber, its business model—including the ways it differed from that of the traditional taxi industry—and its competition with Lyft. The case is set in 2017, a year in which Uber was plagued by even more scandals than usual, though its...
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Keywords:
Business Startups;
Business Model;
Customer Satisfaction;
Fairness;
Values and Beliefs;
Price;
Profit;
Revenue;
Investment;
Government Legislation;
Business History;
Compensation and Benefits;
Resignation and Termination;
Employment;
Wages;
Lawfulness;
Leadership Style;
Leading Change;
Management Style;
Market Entry and Exit;
Two-Sided Platforms;
Product Design;
Organizational Culture;
Problems and Challenges;
Attitudes;
Strategy;
Competitive Strategy;
Expansion;
Transportation Networks;
Mobile Technology;
Technology Platform;
Valuation;
Transportation Industry;
Technology Industry;
United States