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      • 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.)
      • 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
      Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; 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. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
      • September 2020
      • Teaching Plan

      Harlem Capital: Changing the Face of Entrepreneurship

      By: George Serafeim
      Jarrid Tingle and Henri Pierre-Jacques had spent the summer between their first and second years of their MBA program fund raising for their start-up venture capital (VC) firm, Harlem Capital Partners. Harlem Capital was founded upon the principle that addressing the... View Details
      Keywords: Venture Capital Firm Compensation; Entrepreneurial Finance; Entrepreneurial Financing; Black Entrepreneurs; Black Leadership; Black Inventors; Inclusion; Minority-owned Businesses; Race And Ethnicity; Race Characteristics; Entrepreneurship; Venture Capital; Diversity; Race; Gender; Mission and Purpose; Social Enterprise; Financial Services Industry; United States
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      Serafeim, George. "Harlem Capital: Changing the Face of Entrepreneurship." Harvard Business School Teaching Plan 121-027, September 2020.
      • August 2020 (Revised May 2021)
      • Case

      PayPal: The Next Chapter

      By: Michael Porter, Mark Kramer and Annelena Lobb
      Can a social purpose and stakeholder capitalism confer a powerful competitive advantage in the age of COVID-19? For PayPal, the answer is yes. After spinning off from eBay in a 2015 IPO, the company declared its purpose as "democratizing financial services" by ensuring... View Details
      Keywords: Mission and Purpose; Finance; Business and Stakeholder Relations; Social Entrepreneurship; Competitive Advantage; Financial Services Industry
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      Porter, Michael, Mark Kramer, and Annelena Lobb. "PayPal: The Next Chapter." Harvard Business School Case 721-378, August 2020. (Revised May 2021.)
      • July 2020
      • Background Note

      Gender Diversity on Boards: Views from Norway

      By: Aiyesha Dey
      The issue of gender diversity on boards has received increased attention in U.S markets over the past few years. In 2018, California introduced a law which required boards of U.S-listed firms with headquarters in California to include at least one female director by... View Details
      Keywords: Board Of Directors; Board Decisions; Gender; Diversity; Governing and Advisory Boards; Norway; United States
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      Dey, Aiyesha. "Gender Diversity on Boards: Views from Norway." Harvard Business School Background Note 120-065, July 2020.
      • July 2020 (Revised March 2021)
      • Case

      Board Diversity at Amazon (A)

      By: Aiyesha Dey and Anu Atluru
      The case revolves around the decisions that the board of directors of ecommerce giant Amazon would need to make in response to the controversial letter that activist shareholder CtW investment group sent to Amazon’s shareholders, urging them to vote in favor of a... View Details
      Keywords: Board Of Directors; Boards; Governing and Advisory Boards; Diversity; Gender; Race; United States
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      Dey, Aiyesha, and Anu Atluru. "Board Diversity at Amazon (A)." Harvard Business School Case 121-012, July 2020. (Revised March 2021.)
      • July 2020
      • Supplement

      Board Diversity at Amazon (B): The Board's Decision

      By: Aiyesha Dey and Anu Atluru
      Keywords: Board Of Directors; Diversity; Gender
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      Dey, Aiyesha, and Anu Atluru. "Board Diversity at Amazon (B): The Board's Decision." Harvard Business School Supplement 121-013, July 2020.
      • July 2020 (Revised January 2021)
      • Case

      Rosalind Fox at John Deere

      By: Anthony Mayo and Olivia Hull
      Rosalind Fox, the factory manager at John Deere’s Des Moines, Iowa plant, has improved the financial standing of the factory in the three years she’s been at its helm. But employee engagement scores—which measured employees’ satisfaction with working conditions and... View Details
      Keywords: Agribusiness; Change Management; Experience and Expertise; Talent and Talent Management; Diversity; Gender; Race; Engineering; Geographic Location; Globalized Markets and Industries; Leadership Development; Leadership Style; Leading Change; Management Style; Management Teams; Organizational Culture; Personal Development and Career; Prejudice and Bias; Power and Influence; Status and Position; Trust; Agriculture and Agribusiness Industry; United States
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      Mayo, Anthony, and Olivia Hull. "Rosalind Fox at John Deere." Harvard Business School Case 421-011, July 2020. (Revised January 2021.)
      • June 2020
      • Article

      The Isolated Choice Effect and Its Implications for Gender Diversity in Organizations

      By: Edward H. Chang, Erika L. Kirgios, Aneesh Rai and Katherine L. Milkman
      We highlight a feature of personnel selection decisions that can influence the gender diversity of groups and teams. Specifically, we show that people are less likely to choose candidates whose gender would increase group diversity when making personnel selections in... View Details
      Keywords: Behavior And Behavioral Decision Making; Organizational Studies; Decision Analysis; Economics; Decision Making; Behavior; Analysis; Organizations; Diversity; Gender
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      Chang, Edward H., Erika L. Kirgios, Aneesh Rai, and Katherine L. Milkman. "The Isolated Choice Effect and Its Implications for Gender Diversity in Organizations." Management Science 66, no. 6 (June 2020): 2752–2761.
      • March 2020 (Revised May 2020)
      • Case

      Redefining Mogul

      By: Ethan C. Rouen
      Tiffany Pham taught herself to code and created a technology platform, Mogul, with the goal of providing girls and women around the world with information and opportunities. After several years Mogul had reached more than 146 million women around the world and had... View Details
      Keywords: Women; Inclusion; Technology; Branding; Social Impact; Entrepreneurship; Internet and the Web; Information; Knowledge Dissemination; Gender; Diversity; Brands and Branding; Expansion; Strategy; Media; Personal Development and Career; Technology Industry; Media and Broadcasting Industry; United States
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      Serafeim, George, Ethan Rouen, and Sarah Gazzaniga. "Redefining Mogul." Harvard Business School Case 120-043, March 2020. (Revised May 2020.)
      • March 2020 (Revised August 2020)
      • Case

      Culture at Google

      By: Nien-hê Hsieh, Amy Klopfenstein and Sarah Mehta
      Beginning in 2017, technology (tech) company Google faced a series of employee-relations issues that threatened its unique culture of innovation and open communication. Issues included protests surrounding Google’s contracts with the U.S. government, restrictions of... View Details
      Keywords: Human Resources; Employee Relationship Management; Recruitment; Retention; Resignation and Termination; Labor; Working Conditions; Employment; Labor Unions; Wages; Law; Lawsuits and Litigation; Rights; Ethics; Values and Beliefs; Fairness; Organizations; Organizational Culture; Mission and Purpose; Social Psychology; Attitudes; Behavior; Conflict Management; Trust; Motivation and Incentives; Prejudice and Bias; Power and Influence; Information Technology; Internet and the Web; Information Infrastructure; Society; Social Issues; Culture; Civil Society or Community; Demographics; Diversity; Ethnicity; Gender; Race; Technology Industry; North and Central America; United States; California
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      Hsieh, Nien-hê, Amy Klopfenstein, and Sarah Mehta. "Culture at Google." Harvard Business School Case 320-050, March 2020. (Revised August 2020.)
      • March–April 2020
      • Article

      An Institutional Approach to Gender Diversity and Firm Performance

      By: Letian Zhang
      This study examines data from 35 countries and 24 industries to understand the relationship between gender diversity and firm performance. Previous studies report conflicting evidence: some find that gender-diverse firms experience more positive performance and others... View Details
      Keywords: Institutional Theory; Cross-cultural; Diversity; Gender; Organizations; Performance; Situation or Environment; Cross-Cultural and Cross-Border Issues
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      Zhang, Letian. "An Institutional Approach to Gender Diversity and Firm Performance." Organization Science 31, no. 2 (March–April 2020): 439–457.
      • February 2020
      • Case

      Leading Change in Talent at L'Oréal

      By: Lakshmi Ramarajan, Vincent Dessain and Emer Moloney
      Jean-Claude Le Grand just stepped into a new role as Executive Vice-President for Human Resources at the global cosmetics company, L’Oréal. He is now responsible for the hiring, development, promotion, and retention of 83,000 employees worldwide. The highly successful... View Details
      Keywords: Advertising; Business Headquarters; Business Divisions; Business Organization; Change; Change Management; Transformation; Competency and Skills; Experience and Expertise; Talent and Talent Management; Demographics; Diversity; Gender; Nationality; Multinational Firms and Management; Human Resources; Employees; Recruitment; Retention; Selection and Staffing; Innovation and Management; Jobs and Positions; Employment; Human Capital; Leadership; Leadership Development; Leadership Style; Leading Change; Management Practices and Processes; Marketing; Brands and Branding; Product Marketing; Organizations; Organizational Change and Adaptation; Organizational Structure; Personal Development and Career; Planning; Strategic Planning; Problems and Challenges; Networks; Social Psychology; Attitudes; Power and Influence; Social and Collaborative Networks; Business Strategy; Advertising Industry; Beauty and Cosmetics Industry; Consumer Products Industry; France; Paris
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      Ramarajan, Lakshmi, Vincent Dessain, and Emer Moloney. "Leading Change in Talent at L'Oréal." Harvard Business School Case 420-106, February 2020.
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