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Show Results For

  • All HBS Web  (350)
    • News  (53)
    • Research  (176)
    • Events  (2)
    • Multimedia  (7)
  • Faculty Publications  (111)
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  • October 2015 (Revised January 2017)
  • Exercise

Gender at Work

By: Boris Groysberg and Colleen Ammerman
Keywords: Gender Bias; Gender Stereotypes; Prejudice and Bias; Gender
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Groysberg, Boris, and Colleen Ammerman. "Gender at Work." Harvard Business School Exercise 416-026, October 2015. (Revised January 2017.)
  • 2024
  • Working Paper

A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?

By: Paula Rettl, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi and Sergi Pardos-Prado
The growing participation of women in the labor market has marked a significant societal transformation, coinciding with the rise of gender conservatism and far-right support. We study whether the economic consequences of labor market feminization and gender backlash... View Details
Keywords: Gender Bias; Gender Equality; Gender Inclusivity; Politics; Political Backlash; Political Culture; Conservatism; Gender; Government and Politics; Equality and Inequality; Prejudice and Bias; Labor
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Rettl, Paula, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi, and Sergi Pardos-Prado. "A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?" Harvard Business School Working Paper, No. 25-022, November 2024.
  • 14 Dec 2016
  • Book

Simple Ways to Take Gender Bias Out of Your Job Ads

Keywords: by Carmen Nobel
  • 19 Nov 2019
  • Op-Ed

Gender Bias Complaints against Apple Card Signal a Dark Side to Fintech

bias in Goldman Sachs’s underwriting model. (Goldman developed and issued the card.) Adding fuel to the fire, Apple co-founder Steve Wozniak shared that the same thing had happened to him and his wife. Officials from the New York... View Details
Keywords: by Karen G. Mills; Financial Services
  • May–June 2021
  • Article

How to Close the Gender Gap

By: Colleen Ammerman and Boris Groysberg
Most companies say they’re committed to advancing women into leadership roles. What they may fail to recognize, though, is that systemic barriers are holding women back. As a result, women remain disadvantaged at every stage of their employment and underrepresented in... View Details
Keywords: Gender Discrimination; Employment; Gender; Prejudice and Bias; Talent and Talent Management; Organizational Change and Adaptation
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Ammerman, Colleen, and Boris Groysberg. "How to Close the Gender Gap." Harvard Business Review 99, no. 3 (May–June 2021): 124–133.
  • May–June 2024
  • Article

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: Prejudice and Bias; Gender; Training; Recruitment; Personal Development and Career
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Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Organization Science 35, no. 3 (May–June 2024): 911–927.
  • 2023
  • Working Paper

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
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Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
  • 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 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 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 2021
  • Article

Gender Stereotypes in Deliberation and Team Decisions

By: Katherine B. Coffman, Clio Bryant Flikkema and Olga Shurchkov
We explore how groups deliberate and decide on ideas in an experiment with communication. We find that gender biases play a significant role in which group members are chosen to answer on behalf of the group. Conditional on the quality of their ideas, individuals are... View Details
Keywords: Gender Differences; Stereotypes; Teams; Economic Experiments; Gender; Prejudice and Bias; Groups and Teams; Perception
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Coffman, Katherine B., Clio Bryant Flikkema, and Olga Shurchkov. "Gender Stereotypes in Deliberation and Team Decisions." Games and Economic Behavior 129 (September 2021): 329–349.
  • May 28, 2018
  • Article

How Companies Can Identify Racial and Gender Bias in Their Customer Service

By: Alexandra C. Feldberg and Tami Kim
Research shows that minority customers — blacks and Asians — regularly receive worse customer service than whites in ways that are not immediately obvious to onlookers (or even managers). These results prompt a couple of questions for executives and managers. One, does... View Details
Keywords: Internal Audit; Customers; Service Delivery; Prejudice and Bias; Race; Gender; Organizational Change and Adaptation
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Feldberg, Alexandra C., and Tami Kim. "How Companies Can Identify Racial and Gender Bias in Their Customer Service." Harvard Business Review (website) (May 28, 2018).
  • Article

Men as Cultural Ideals: Cultural Values Moderate Gender Stereotype Content.

By: Amy Cuddy, Elizabeth Baily Wolf, Peter Glick, Susan Crotty, Jihye Chong and Michael I. Norton
Four studies tested whether cultural values moderate the content of gender stereotypes, such that male stereotypes more closely align with core cultural values (specifically, individualism vs. collectivism) than do female stereotypes. In Studies 1 and 2, using... View Details
Keywords: Gender Stereotypes; Stereotype Content; Individualism; Collectivism; Prejudice and Bias; Values and Beliefs; Culture; Gender
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Cuddy, Amy, Elizabeth Baily Wolf, Peter Glick, Susan Crotty, Jihye Chong, and Michael I. Norton. "Men as Cultural Ideals: Cultural Values Moderate Gender Stereotype Content." Journal of Personality and Social Psychology 109, no. 4 (October 2015): 622–635.
  • 19 Mar 2009
  • Working Paper Summaries

Beyond Gender and Negotiation to Gendered Negotiations

Keywords: by Deborah Kolb & Kathleen L. McGinn
  • June 2021
  • Article

The Role of Beliefs in Driving Gender Discrimination

By: Katherine B. Coffman, Christine L. Exley and Muriel Niederle
While there is ample evidence of discrimination against women in the workplace, it can be difficult to understand what factors contribute to discriminatory behavior. We use an experiment to both document discrimination and unpack its sources. First, we show that, on... View Details
Keywords: Gender Discrimination; Behavioral Decision Making; Gender; Attitudes; Prejudice and Bias; Economics; Behavior; Decision Making
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Coffman, Katherine B., Christine L. Exley, and Muriel Niederle. "The Role of Beliefs in Driving Gender Discrimination." Management Science 67, no. 6 (June 2021).
  • Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
  • June 18, 2021
  • Article

Who Do We Invent for? Patents by Women Focus More on Women's Health, but Few Women Get to Invent

By: Rembrand Koning, Sampsa Samila and John-Paul Ferguson
Women engage in less commercial patenting and invention than do men, which may affect what is invented. Using text analysis of all U.S. biomedical patents filed from 1976 through 2010, we found that patents with all-female inventor teams are 35% more likely than... View Details
Keywords: Innovation; Gender Bias; Health; Innovation and Invention; Research; Patents; Gender; Prejudice and Bias
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Koning, Rembrand, Sampsa Samila, and John-Paul Ferguson. "Who Do We Invent for? Patents by Women Focus More on Women's Health, but Few Women Get to Invent." Science 372, no. 6548 (June 18, 2021): 1345–1348.
  • 22 Jan 2018
  • Working Paper Summaries

When Gender Discrimination Is Not About Gender

Keywords: by Katherine B. Coffman, Christine L. Exley, and Muriel Niederle
  • 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
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Margolis, Joshua D., and Anne Donnellon. "Sonia Millar: Negotiating for the C-Suite." Harvard Business School Brief Case 920-555, September 2019.
  • October 2024
  • Article

Sampling Bias in Entrepreneurial Experiments

By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
Keywords: Target Market; Sampling Biases; Beta Testing; Product Launch; Entrepreneurship; Gender
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Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
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