Publications

Educators

08 Mar 2022
Research & Ideas

Representation Matters: Building Case Studies That Empower Women Leaders

Association presented their “Guidelines for Avoiding Discrimination against Women in Written Materials” to top HBS administrators, and have been elevating the issue of gender in cases ever since. Although... View Details

Keywords: by Colleen Ammerman and Boris Groysberg

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

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October 6, 2015
Article

Compared to Men, Women View Professional Advancement as Equally Attainable, but Less Desirable

By: Francesca Gino, Caroline Ashley Wilmuth and Alison Wood Brooks

Women are underrepresented in most high-level positions in organizations. While a great deal of research has provided evidence that bias and discrimination give rise to and perpetuate this gender disparity, in the current research, we explore another explanation: men... View Details

Keywords: Personal Development and Career; Gender

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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

Educators

June 2023
Article

The Salary Taboo: Privacy Norms and the Diffusion of Information

By: Zoë Cullen and Ricardo Perez-Truglia

The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of... View Details

Keywords: Search Costs; Privacy; Norms; Compensation; Financial Industry; Field Experiment; Knowledge Dissemination; Equality and Inequality; Gender; Compensation and Benefits; Societal Protocols

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2022
Other Teaching and Training Material

Organizational Behavior Reading: Managing Differences

By: Robin Ely and Colleen Ammerman

This reading provides principles and practices managers can draw upon to leverage differences in social identities - such as gender and race - to create more effective work relationships, teams, and organizations. The Essential Reading's first section draws upon... View Details

Keywords: Diversity; Groups and Teams; Prejudice and Bias; Identity; Management Practices and Processes

04 Mar 2020
Research & Ideas

How Schmoozing with the Boss Helps Men Get Promoted

39 percent of the gender pay gap The social advantage male employees enjoyed with male bosses didn’t occur instantly when they were first paired together, which suggests that knee-jerk discrimination and... View Details

Keywords: by Dina Gerdeman

March 1991 (Revised July 2001)
Supplement

Ann Hopkins (B)

By: Joseph L. Badaracco Jr. and Ilyse Barkan

Describes the reasons why the courts found in favor of Ann Hopkins in the sexual discrimination suit. Also explains why the courts concluded she was the victim of sexual stereotyping. View Details

Keywords: Law; Ethics; Human Resources; Gender

05 Oct 2010
Working Paper Summaries

A Positive Approach to Studying Diversity in Organizations

Keywords: by Lakshmi Ramarajan & David Thomas

March 2021
Teaching Plan

The Black New Venture Competition

By: Karen G. Mills, Jeffrey J. Bussgang, Martin A. Sinozich and Gabriella Elanbeck

Black entrepreneurs encounter many unique obstacles when raising capital to start and grow a business, some stemming from deep systemic discrimination. During their second year at Harvard Business School (HBS), MBA students Kimberly Foster and Tyler Simpson decided to... View Details

September 2020 (Revised February 2024)
Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

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

23 Jun 2015
First Look

First Look: June 23, 2015

Publications Forthcoming National Bureau of Economic Research Innovation Policy and the Economy, Volume 16 By: Lerner, Josh, and Scott Stern Abstract—No abstract available. Publisher's link: http://papers.nber.org/books/lern15-1 2015 International Encyclopedia of the... View Details

Keywords: Sean Silverthorne

2024
Working Paper

Social Movements and Public Opinion in the United States

By: Amory Gethin and Vincent Pons

Recent social movements stand out by their spontaneous nature and lack of stable leadership, raising doubts on their ability to generate political change. This article provides systematic evidence on the effects of protests on public opinion and political attitudes.... View Details

Keywords: Attitudes; Social Issues; Voting; Public Opinion; Social Media

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September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

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

September 2020 (Revised July 2022)
Exercise

Artea (B): Including Customer-Level Demographic Data

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

14 Sep 2017
Op-Ed

Op-Ed: Google Engineer Deserved to be Fired by the CEO

pointed out, he justified his assertions by cherry-picking research on gender differences. The real risk of Damore’s generalizations, expressed in a business context, is that they give license to people to behave as if those beliefs are... View Details

Keywords: by Bill George

06 Nov 2018
First Look

New Research and Ideas, November 6, 2018

Transition to Democracy Promotion The Pivot: Neoconservatives, the Philippines, and the Democracy Agenda By: Fibiger, Mattias Abstract—No abstract available. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=54829 forthcoming Organization Science An... View Details

Keywords: Dina Gerdeman

March 2021
Supplement

Artea (A), (B), (C), and (D): Designing Targeting Strategies

Power Point Supplement to 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... View Details

Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States