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      • December 2020
      • Supplement

      Video Interview with Rebecca Fishman Lipsey

      By: Rosabeth M. Kanter and Joyce 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
      Keywords: Entrepreneurial Ecosystems; Female Entrepreneur; Racism; Sexism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
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      Kanter, Rosabeth M., and Joyce Kim. "Video Interview with Rebecca Fishman Lipsey." Harvard Business School Multimedia/Video Supplement 321-705, December 2020.
      • December 2020 (Revised February 2021)
      • Supplement

      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
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      Desai, Mihir A., and Suzanne Antoniou. "The Tulsa Massacre and the Call for Reparations." Harvard Business School PowerPoint Supplement 221-064, December 2020. (Revised February 2021.)
      • 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
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      Desai, Mihir A., and Suzanne Antoniou. "The Tulsa Massacre and the Call for Reparations." Harvard Business School Teaching Note 221-044, December 2020. (Revised February 2021.)
      • 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
      Keywords: Racism; Cultural Entrepreneurship; Social Entrepreneurship; Diversity; Race; Social Issues; Ethics; Canada; North America
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      Ghosh, Shikhar, Marilyn Morgan Westner, and Reza Satchu. "Wes Hall and the BlackNorth Initiative." Harvard Business School Case 821-056, November 2020. (Revised February 2021.)
      • 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
      Keywords: Race; Law Enforcement; Governance; Decision Making; Safety; Social Issues; Public Administration Industry; United States; Minnesota; Saint Paul
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      Weiss, Mitchell B., and Sarah Mehta. "Community-First Public Safety." Harvard Business School Case 821-005, November 2020. (Revised June 2022.)
      • 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
      Keywords: Homophily; Group Selection; Diversity; Gender; Race; Competition
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      Kirgios, Erika L., Edward H. Chang, and Katherine L. Milkman. "Going It Alone: Competition Increases the Attractiveness of Minority Status." Organizational Behavior and Human Decision Processes 161 (November 2020): 20–33.
      • 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
      Keywords: Health Care and Treatment; Equality and Inequality; Race; Analysis
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      Chandra, Amitabh, Pragya Kakani, and Adam Sacarny. "Hospital Allocation and Racial Disparities in Health Care." NBER Working Paper Series, No. 28018, November 2020.
      • 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
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      Desai, Mihir A., Suzanne Antoniou, and Leanne Fan. "The Tulsa Massacre and the Call for Reparations." Harvard Business School Case 221-039, October 2020. (Revised February 2021.)
      • 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
      Keywords: Female Entrepreneur; Entrepreneurial Ecosystems; Inclusion; Innovation & Entrepreneurship; Racism; Sexism; Start-up; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; Innovation and Invention; City; Culture; Miami
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      Kanter, Rosabeth Moss, and Joyce J. Kim. "Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women." Harvard Business School Case 321-083, October 2020. (Revised April 2021.)
      • 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
      Keywords: Banking; Rural Entrepreneurship; Economic Development; Black Entrepreneurs; Economic Growth; Credit; Banks and Banking; Entrepreneurship; Rural Scope; Development Economics; Race; Investment; Decision Making; Banking Industry
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      Macomber, John D., and Janice Broome Brooks. "HOPE and Transformational Lending: Netflix Invests in Black Led Banks." Harvard Business School Case 221-030, October 2020.
      • September 2020
      • Case

      The Black New Venture Competition

      By: Karen Mills, Jeffrey J. Bussgang, Martin Sinozich and Gabriella Elanbeck
      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
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      Mills, Karen, Jeffrey J. Bussgang, Martin Sinozich, and Gabriella Elanbeck. "The Black New Venture Competition." Harvard Business School Case 821-029, September 2020.
      • 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
      Keywords: Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Technology Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Teaching Note 521-035, September 2020. (Revised July 2022.)
      • 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
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
      • 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
      Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised February 2024.)
      • 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
      Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
      • 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
      Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
      • 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
      Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, 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... 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
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      Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
      • 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
      Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. Spreadsheet Supplement to "Artea: Designing Targeting Strategies". Harvard Business School Spreadsheet Supplement 521-703, September 2020. (Revised July 2022.)
      • 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
      Keywords: Gender; Race; Diversity; Marketing; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea (B) and (C)." Harvard Business School Spreadsheet Supplement 521-704, September 2020. (Revised July 2022.)
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