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- All HBS Web
(357)
- Faculty Publications (90)
- 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
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
- 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
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
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
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
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 (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
- July 2020
- Teaching Plan
Girls Who Code
By: Brian Trelstad and Amy Klopfenstein
This teaching plan serves as a supplement to HBS Case No. 320-055, “Girls Who Code.” Founded 2012 by former lawyer Reshma Saujani, Girls Who Code (GWC) offered coding education programs to middle- and high school-aged girls. The organization also sought to alter... View Details
Keywords: Communication; Communication Strategy; Spoken Communication; Interpersonal Communication; Demographics; Age; Gender; Education; Curriculum and Courses; Learning; Middle School Education; Secondary Education; Leadership Style; Leadership; Social Enterprise; Nonprofit Organizations; Social Psychology; Attitudes; Behavior; Cognition and Thinking; Prejudice and Bias; Power and Influence; Identity; Social and Collaborative Networks; Motivation and Incentives; Society; Civil Society or Community; Culture; Public Opinion; Social Issues; Information Technology; Applications and Software; Education Industry; Technology Industry; North and Central America; United States
- 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
Mayo, Anthony, and Olivia Hull. "Rosalind Fox at John Deere." Harvard Business School Case 421-011, July 2020. (Revised January 2021.)
- June 2020 (Revised September 2020)
- Case
Shellye Archambeau: Becoming a CEO (A)
By: Tsedal Neeley and John Masko
With the economy in a freefall, MetricStream is losing customers, hemorrhaging cash and struggling to make payroll. Several board members are threatening to quit. Others are pressing to sell the company even at dismally low valuations. It’s 2008 and lightning has... View Details
Keywords: Leadership; Race; Gender; Leadership Style; Risk and Uncertainty; Change; Prejudice and Bias; Decision Making; Personal Development and Career; Technology Industry; California
Neeley, Tsedal, and John Masko. "Shellye Archambeau: Becoming a CEO (A)." Harvard Business School Case 420-071, June 2020. (Revised September 2020.)
- June 2020
- Supplement
Shellye Archambeau: Becoming a CEO (B)
By: Tsedal Neeley and Briana Richardson
With the economy in a freefall, MetricStream is losing customers, hemorrhaging cash and struggling to make payroll. Several board members are threatening to quit. Others are pressing to sell the company even at dismally low valuations. It’s 2008 and lightning has... View Details
Keywords: Race; Gender; Leadership Style; Risk and Uncertainty; Change; Prejudice and Bias; Decision Making; Personal Development and Career; Technology Industry; California
Neeley, Tsedal, and Briana Richardson. "Shellye Archambeau: Becoming a CEO (B)." Harvard Business School Supplement 420-073, June 2020.
- Article
The Impact of Penalties for Wrong Answers on the Gender Gap in Test Scores
By: Katherine B. Coffman and David Klinowski
Multiple-choice exams play a critical role in university admissions across the world. A key question is whether imposing penalties for wrong answers on these exams deters guessing from women more than men, disadvantaging female test-takers. We consider data from a... View Details
Coffman, Katherine B., and David Klinowski. "The Impact of Penalties for Wrong Answers on the Gender Gap in Test Scores." Proceedings of the National Academy of Sciences 117, no. 16 (April 21, 2020): 8794–8803.
- 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
Hsieh, Nien-hê, Amy Klopfenstein, and Sarah Mehta. "Culture at Google." Harvard Business School Case 320-050, March 2020. (Revised August 2020.)
- December 2019 (Revised December 2021)
- Case
Negotiating for Equal Pay: The U.S. Women's National Soccer Team (A)
By: Christine Exley, John Beshears, Manuela Collis and Davis Heniford
In 2019, members of the U.S. Women's National Soccer Team (WNT) filed a gender discrimination lawsuit against the U.S. Soccer Federation. The case describes the history of the WNT's quest for equal pay leading up to this event. View Details
Keywords: Equal Pay; Negotiation; Compensation and Benefits; Equality and Inequality; Gender; Prejudice and Bias; Negotiation Tactics; Corporate Governance; Lawsuits and Litigation; Sports; Sports Industry; United States
Exley, Christine, John Beshears, Manuela Collis, and Davis Heniford. "Negotiating for Equal Pay: The U.S. Women's National Soccer Team (A)." Harvard Business School Case 920-029, December 2019. (Revised December 2021.)
- December 2019 (Revised December 2021)
- Supplement
Negotiating for Equal Pay: The U.S. Women's National Soccer Team (B)
By: Christine Exley, John Beshears, Manuela Collis and Davis Heniford
Supplements the (A) case and describes the events following it View Details
Keywords: Equal Pay; Negotiation; Compensation and Benefits; Equality and Inequality; Gender; Prejudice and Bias; Ethics; Negotiation Tactics; Corporate Governance; Lawsuits and Litigation; Sports; Sports Industry; United States
Exley, Christine, John Beshears, Manuela Collis, and Davis Heniford. "Negotiating for Equal Pay: The U.S. Women's National Soccer Team (B)." Harvard Business School Supplement 920-030, December 2019. (Revised December 2021.)
- October 2019
- Case
Harlem Capital: Changing the Face of Entrepreneurship (A)
By: George Serafeim and David Freiberg
Jarrid Tingle and Henri Pierre-Jacques had spent the summer between their first and second years of their Harvard Business School MBA program fund raising for their start-up venture capital (VC) firm, Harlem Capital Partners. Harlem Capital was founded upon the... View Details
Keywords: Impact Investing; Gender Bias; Gender Inequality; Minority Representation; Entrepreneurial Finance; Investment Management; Investing; Inequality; Race And Ethnicity; Black Entrepreneurs; Black Inventors; Black Leadership; Venture Investing; Fund Raising; Venture Capital; Entrepreneurship; Diversity; Gender; Race; Equality and Inequality; Equity; Mission and Purpose; Investment Funds; Financial Services Industry; United States
Serafeim, George, and David Freiberg. "Harlem Capital: Changing the Face of Entrepreneurship (A)." Harvard Business School Case 120-040, October 2019.
- October 2019
- Supplement
Harlem Capital: Changing the Face of Entrepreneurship (B)
By: George Serafeim and David Freiberg
The (B) case describes Tingle and Pierre-Jacques’ decision to commit fully to Harlem Capital as their post-graduation job. The case explores the results of their fundraising efforts, new strategic partnerships, and how they plan to “build the market” in order to... View Details
Keywords: Impact Investing; Gender Bias; Gender Inequality; Minority Representation; Entrepreneurial Finance; Investment Management; Investing; Inequality; Venture Capital; Entrepreneurship; Diversity; Gender; Equality and Inequality; Equity; Mission and Purpose; Investment Funds; Financial Services Industry
Serafeim, George, and David Freiberg. "Harlem Capital: Changing the Face of Entrepreneurship (B)." Harvard Business School Supplement 120-041, October 2019.
- September 2019
- Case
Sonia Millar: Negotiating for the C-Suite
By: Joshua D. Margolis and Anne Donnellon
This case addresses the nuances of gender dynamics and career progression at the top of the organization, where even women who have strong leadership expertise, experience, and alliances with powerful male colleagues still get stuck. Told from the point of view of... View Details
Keywords: Executives; CEO; Promotion; Gender Bias; Personal Development and Career; Gender; Diversity; Power and Influence
Margolis, Joshua D., and Anne Donnellon. "Sonia Millar: Negotiating for the C-Suite." Harvard Business School Brief Case 920-555, September 2019.
- Article
The Mixed Effects of Online Diversity Training
By: Edward H. Chang, Katherine L. Milkman, Dena M. Gromet, Robert W. Rebele, Cade Massey, Angela L. Duckworth and Adam M. Grant
We present results from a large (n = 3,016) field experiment at a global organization testing whether a brief science-based online diversity training can change attitudes and behaviors toward
women in the workplace. Our preregistered field experiment included an... View Details
Chang, Edward H., Katherine L. Milkman, Dena M. Gromet, Robert W. Rebele, Cade Massey, Angela L. Duckworth, and Adam M. Grant. "The Mixed Effects of Online Diversity Training." Proceedings of the National Academy of Sciences 116, no. 16 (April 16, 2019): 7778–7783.