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Having uncovered the scope of discrimination taking place against Black guests and hosts on Airbnb, researcher Michael Luca and his colleagues put...
- 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 2021
- Teaching Plan
The Black New Venture Competition
Black entrepreneurs encounter many unique obstacles when raising capital to start and grow a business, some stemming from deep systemic discrimination. During their second year at Harvard Business School (HBS), MBA students Kimberly Foster and Tyler Simpson decided to...
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Keywords:
Analytics;
Startup;
Start-up;
Startup Financing;
Financing;
Startups;
Start-ups;
Business And Community;
Business And Society;
Business Growth;
Discrimination;
Women;
Women-owned Businesses;
African Americans;
African-american Entrepreneurs;
African-american Investors;
African-american Protagonist;
African-american Women;
Diversity;
Venture Capital;
Early Stage Funding;
Early Stage;
Technology;
Innovation ＆ Entrepreneurship;
Innovation Competitions;
Entrepreneurship;
Entrepreneurial Financing;
Business Plan
- 2021
- Working Paper
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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- 2021
- Working Paper
Faith and Assimilation: Italian Immigrants in the U.S.
By: Stefano Gagliarducci and Marco Tabellini
We study the effects of religious organizations on immigrants' assimilation. We focus on the arrival of Italian Catholic churches in the US between 1900 and 1920, when four million Italians had moved to America, and anti-Catholic sentiments were widespread. We combine...
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- 2021
- Working Paper
Dynamic Competition for Customer Memberships
By: Cristian Chica 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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- September 2020
- Case
The Black New Venture Competition
Black entrepreneurs encounter many unique obstacles when raising capital to start and grow a business. During their second year at Harvard Business School (HBS), MBA students Kimberly Foster and Tyler Simpson decided to do something to make a difference for...
View Details
Keywords:
Startup;
Start-up;
Startup Financing;
Startups;
Start-ups;
African-american Protagonist;
African-american Entrepreneurs;
African-american Investors;
African-americans;
African-american Women;
Black Leadership;
Black Inventors;
Black Entrepreneurs;
Harvard Business School;
Harvard;
Business And Society;
Early Stage Funding;
Early Stage Finance;
Technology Entrepreneurship;
Discrimination;
Technology Ventures;
Entrepreneurial Finance;
Entrepreneurial Financing;
Business Plan;
Business Startups;
Business Ventures;
Business Growth and Maturation;
Diversity;
Gender;
Race;
Entrepreneurship;
Venture Capital;
Small Business;
Leadership;
Technology;
Competition;
Technology Industry
- September 2020
- 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;
E-commerce;
Discrimination;
Targeting;
Targeted Advertising;
Pricing Algorithms;
Ethical Decision Making;
Customer Heterogeneity;
Marketing;
Race;
Ethnicity;
Gender;
Diversity;
Prejudice and Bias;
Marketing Communications;
Data and Data Sets;
Analysis;
Decision Making;
Ethics;
Customer Relationship Management;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020 (Revised March 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
- 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
- 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
- Supplement
Spreadsheet Supplement to Artea (B) and (C)
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to "Artea (B): Including Customer-level Demographic Data" and "Artea (C): Potential Discrimination through Algorithmic Targeting"
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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...
View Details
- 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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- 2020
- Working Paper
(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial
By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker
While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between...
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- September 2020
- Teaching Note
Miami's Tech Future (C): Reaching Another Miami
By: Rosabeth Moss Kanter and Joyce J. Kim
The effects of Miami’s startup scene have not reached many “left-behind” lower-income Black communities, which are disproportionately affected by problems such as segregation and racial discrimination, lack of transportation access, crime, education quality, government...
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- 2020
- Working Paper
The Pursuit of Passion Propagates Privilege
By: Josephine Tan and Jon M. Jachimowicz
For many graduating college students entering the workforce, “pursue your passion” is not only a frequently repeated graduation mantra but also a commonly embraced ideal. In line with this view, prior academic research finds that passion connotes work-related benefits,...
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- 2020
- Article
Beyond Dislike: Blatant Dehumanization Predicts Teacher Discrimination
By: Emile Bruneau, Hanna Szekeres, Nour Kteily, Linda Tropp and Anna Kende
- March 2020
- Case
Racial Discrimination on Airbnb: The Role of Platform Design
By: Michael Luca, Scott Stern, Devin Cook and Hyunjin Kim
Facing mounting criticism and evidence of widespread racial discrimination on the platform, apartment rental platform Airbnb needed to decide a path forward. For years, Airbnb had given hosts extensive discretion about whether to reject a guest after seeing little more...
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- March 2020
- Teaching Note
Racial Discrimination on Airbnb: The Role of Platform Design
By: Michael Luca
Teaching Note for HBS No. 920-051.
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