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  • 26 Feb 2019
  • HBS Seminar

Christopher Hsee, University of Chicago Booth School of Business

  • 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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  • 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
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  • May 2018
  • Supplement

Abe on Womenomics, part 1: Introductions & Japan's Corporate Culture: Excerpt from Opening Address to the World Assembly of Women, Tokyo, August 28, 2015

By: Boris Groysberg
This video supplement part one of a lightly edited 2015 speech by Japanese prime minister Shinzo Abe in which he describes Womenomics--policies and aspirations to promote greater economic participation by Japan's women, thereby promoting economic growth, greater... View Details
Keywords: Gender Equality; Japan; Leadership; Government-business Relations; Shinzo Abe; Economic Growth; Aging Society; Womenomics; Abenomics; Labor Market Discrimination; Workplace Culture; Women And Leadership; Change Management; Leading Change; Gender; Business and Government Relations; Growth and Development; Employment; Working Conditions; Japan
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  • January 2018 (Revised June 2018)
  • Teaching Note

Womenomics in Japan

By: Boris Groysberg and David Lane
Teaching Note for HBS No. 417-002. View Details
Keywords: Gender Equality; Japan; Leadership; Government-business Relations; Shinzo Abe; Economic Growth; Aging Society; Womenomics; Abenomics; Labor Market Discrimination; Workplace Culture; Women And Leadership; Change Management; Working Conditions; Leading Change; Gender; Business and Government Relations; Growth and Development; Employment; Japan
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    Alexandra C. Feldberg

    Alexandra (Allie) Feldberg is an Assistant Professor of Business Administration in the Organizational Behavior Unit at Harvard Business School.

    Professor Feldberg uses qualitative and quantitative methods to examine intersections between gender,... View Details

    • 06 Mar 2019
    • Sharpening Your Skills

    Has the Glass Ceiling Been Broken (or at Least Cracked)?

    Employers Favor MenWhy are women discriminated against in hiring decisions? The reason is subtle. Simple Ways to Take Gender Bias Out of Your Job Ads The book What Works: Gender Equality by Design, discusses how organizations can leverage... View Details
    Keywords: by Sean Silverthorne
    • September 16, 2022
    • Article

    3 Workplace Biases that Derail Mid-Career Women

    By: Colleen Ammerman and Boris Groysberg
    Mid-career women are often surprised by the levels of bias and discrimination they encounter in the workplace, especially if they’ve successfully avoided it earlier in their careers. After speaking to 100 senior women executives, the authors identified three distinct... View Details
    Keywords: Personal Development and Career; Prejudice and Bias; Gender
    Related
    • 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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    • 02 May 2017
    • News

    Are You A Victim Of Price Discrimination?

    • June 18, 2022
    • Article

    In Defense of Online Anonymity

    By: Michael Luca
    Lack of transparency on the internet may help fuel toxic dialogue, but it also encourages honest feedback and protects people against discrimination View Details
    Keywords: Transparency; Anonymity; Honesty; Social Media; Prejudice and Bias
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    • June 1994 (Revised March 1995)
    • Case

    Kurt Landgraf and Du Pont Merck Pharmaceutical Co. (A)

    Kurt Landgraf, newly named CEO of Du Pont Merck Pharmaceutical Co., addresses complaints of discrimination from African-American scientists in R&D during significant downsizing and dramatic changes within the pharmaceutical industry. View Details
    Keywords: Prejudice and Bias; Race Characteristics; Gender Characteristics; Diversity Characteristics; Conflict and Resolution; Pharmaceutical Industry
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    • 02 Jun 2016
    • News

    Some Airbnb Users Claim Hosts Rejected Them Over Race

    • 10 Aug 2016
    • News

    The meaning of trust in the age of Airbnb

    • 2011
    • Article

    Strike Three: Discrimination, Incentives, and Evaluation

    By: Christopher Parsons, J. Sulaeman, M. Yates and D. Hamermesh
    Major League Baseball umpires express their racial/ethnic preferences when they evaluate pitchers. Strikes are called less often if the umpire and pitcher do not match race/ethnicity, but mainly where there is little scrutiny of umpires. Pitchers understand the... View Details
    Keywords: Wages; Motivation and Incentives; Prejudice and Bias; Ethnicity; Race; Performance Productivity; Sports; Sports Industry
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    • Research Summary

    Making Machine Learning Models Fair

    By: Himabindu Lakkaraju
    The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details
    • 28 Aug 2020
    • Video

    Manu Chandaria

    Manu Chandaria, Chair of the Comcraft Group in Kenya, describes the racial discrimination he experienced as an ethnic Asian in colonial Kenya, and more recent ethnic tensions in the country. View Details

      Airbnb Isn't Doing Enough

      Not that long ago, online commerce promised not only to make markets more efficient but also more inclusive and less prone to discrimination. The rationale was simple: On the internet, no one knows whether you’re black or white, male or female, making it more difficult... View Details
      • 28 Aug 2020
      • Video

      Cas Coovadia

      Cas Coovadia, the long-running Managing Director of the Banking Association South Africa, argues that the government needs proactive policies to support the Black community because of the discrimination it experienced under apartheid. View Details
      • Video

      Sizwe Nxasana

      Sizwe Nxasana, the founding partner of SizweNtsalubaGobodo, the largest Black accounting firm in South Africa, discusses the discrimination he experienced as a young Black accountant during the apartheid era, and how he initially built his business serving Black... View Details