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- December 2020 (Revised February 2021)
- Teaching Note
The Tulsa Massacre and the Call for Reparations
By: Mihir A. Desai and Suzanne Antoniou
How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
Keywords: Cost vs Benefits; Decision Choices and Conditions; Decisions; Judgments; Race; Fairness; Moral Sensibility; Values and Beliefs; Corporate Accountability; Corporate Governance; Policy; Governing Rules, Regulations, and Reforms; Government Legislation; Government and Politics; Government Administration; Lawsuits and Litigation; Legal Liability; Leading Change; Mission and Purpose; Corporate Social Responsibility and Impact; Conflict and Resolution; Conflict Management; Loss; Motivation and Incentives; Perspective; Prejudice and Bias; Civil Society or Community; Social Issues; Welfare; Tulsa; Oklahoma; United States
- November 2020 (Revised February 2021)
- Case
Wes Hall and the BlackNorth Initiative
By: Shikhar Ghosh, Marilyn Morgan Westner and Reza Satchu
Wes Hall founded Kingsdale Advisors and built it into one of Canada’s leading shareholder services and advisory firms. Influenced by the Black Lives Matter (BLM) movement and a series of social injustices—specifically the death of George Floyd in police custody—Hall... View Details
- November 2020 (Revised June 2022)
- Case
Community-First Public Safety
By: Mitchell B. Weiss and Sarah Mehta
How many police officer positions to fund? In August 2020, the question facing St. Paul Mayor Melvin Carter, which might have seemed routine to another mayor at another time in another place, was anything but. A pandemic had rendered the city some $19-$34 million short... View Details
- Article
Going It Alone: Competition Increases the Attractiveness of Minority Status
By: Erika L. Kirgios, Edward H. Chang and Katherine L. Milkman
Past research demonstrates that people prefer to affiliate with others who resemble them demographically. However, we posit that when competing for scarce opportunities, strategic considerations moderate the strength of this tendency toward homophily. Across six... View Details
- 2020
- Working Paper
Hospital Allocation and Racial Disparities in Health Care
By: Amitabh Chandra, Pragya Kakani and Adam Sacarny
We develop a simple framework to measure the role of hospital allocation in racial disparities in health care and use it to study Black and white Medicare patients who are treated for heart attacks—a condition where virtually everyone receives care, hospital care is... View Details
- October 2020 (Revised February 2021)
- Case
The Tulsa Massacre and the Call for Reparations
By: Mihir A. Desai, Suzanne Antoniou and Leanne Fan
How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
Keywords: Cost vs Benefits; Decision Choices and Conditions; Decisions; Judgments; Race; Fairness; Moral Sensibility; Values and Beliefs; Corporate Accountability; Corporate Governance; Policy; Governing Rules, Regulations, and Reforms; Government Legislation; Government and Politics; Government Administration; Lawsuits and Litigation; Legal Liability; Leading Change; Mission and Purpose; Corporate Social Responsibility and Impact; Conflict and Resolution; Conflict Management; Loss; Motivation and Incentives; Perspective; Prejudice and Bias; Civil Society or Community; Social Issues; Tulsa; Oklahoma; United States
- October 2020 (Revised April 2021)
- Case
Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women
By: Rosabeth Moss Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
- October 2020
- Case
HOPE and Transformational Lending: Netflix Invests in Black Led Banks
By: John D. Macomber and Janice Broome Brooks
Following the killing of George Floyd on Memorial Day in 2020, the large US corporation Netflix elected to make a "transformational deposit" of $10 million into Hope Credit Union (HCU), a small Black led community development finance institution (CDFI) based in... View Details
- 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; Financing and Loans; Business Growth and Maturation; Diversity; Gender; Race; Entrepreneurship; Venture Capital; Small Business; Leadership; Information Technology; Competition; Technology Industry
- September 2020 (Revised July 2022)
- Teaching Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
Teaching Note for HBS No. 521-020. 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... 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 February 2024)
- 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 July 2022)
- 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... View Details
- September 2020 (Revised July 2022)
- 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... View Details
- September 2020 (Revised July 2022)
- 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... View Details
- 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
- September 2020 (Revised July 2022)
- Supplement
Spreadsheet Supplement to "Artea: Designing Targeting Strategies"
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to "Artea: Designing Targeting Strategies" (521-021). View Details
- September 2020 (Revised July 2022)
- 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" View Details
- September 2020 (Revised June 2023)
- 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... View Details
- September 2020
- Teaching Note
West Side United: Hospitals Tackle the Racial Health and Wealth Gap
By: Rosabeth Moss Kanter and Joyce J. Kim
Teaching Note for HBS Case No. 321-026. View Details
Keywords: COVID-19; COVID; Hospital; Coalition; Health Pandemics; Race; Health; Wealth and Poverty; Equality and Inequality; Change; Leadership; Chicago