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- All HBS Web (157)
- Faculty Publications (54)
- 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
- 2022
- Working Paper
Politics at Work
By: Emanuele Colonnelli, Valdemar Pinho Neto and Edoardo Teso
We study how individual political views shape firm behavior and labor market outcomes. Using new micro-data on the political affiliation of business owners and private-sector workers in Brazil over the 2002–2019 period, we first document the presence of political... View Details
Colonnelli, Emanuele, Valdemar Pinho Neto, and Edoardo Teso. "Politics at Work." Working Paper, December 2022.
- April 2022
- Case
Marsha Simms: Trailblazer in Corporate Law
By: Robin Ely, Boris Groysberg, Colleen Ammerman and Olivia Hull
Follows the journey of lawyer Marsha Simms from her childhood in racially-segregated St. Louis to the upper echelons of the New York legal community. Describes her education, career choices, accomplishments, and setbacks. Highlights significant moments such as her... View Details
Keywords: Leadership; Career; Career Management; Diversity; Inclusion; Equity; Gender; Race; Corporate Finance; Law; Leadership Development; Personal Development and Career; Relationships; Power and Influence; Social and Collaborative Networks; Status and Position; Social Issues; Legal Services Industry; United States; New York (state, US)
Ely, Robin, Boris Groysberg, Colleen Ammerman, and Olivia Hull. "Marsha Simms: Trailblazer in Corporate Law." Harvard Business School Case 422-012, April 2022.
- 18 Jun 2024
- Research & Ideas
What Your Non-Binary Employees Need to Do Their Best Work
When Katherine Coffman presents her research findings about how gender stereotypes shape the behavior of men and women in the workplace, she is often asked: What about non-binary individuals? “People understandably keep asking, ‘What... View Details
Keywords: by Michael Blanding
Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS
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... View Details
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
- 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
Ammerman, Colleen, and Boris Groysberg. "3 Workplace Biases that Derail Mid-Career Women." Harvard Business Review (website) (September 16, 2022).
- 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
- August 1992 (Revised December 1994)
- Case
Sexual Harassment, Free Speech or ...?
By: Lynn S. Paine
Presents two brief vignettes about female employees who object to gender discrimination in their work environment. In one case, the manager of a convenience store removes "adult" magazines from the store's shelves because she sees them as damaging to women. In the... View Details
Keywords: Moral Sensibility; Working Conditions; Law; Behavior; Managerial Roles; Crime and Corruption; Groups and Teams; Organizational Culture; Problems and Challenges; Gender
Paine, Lynn S. "Sexual Harassment, Free Speech or ...?" Harvard Business School Case 393-033, August 1992. (Revised December 1994.)
- 16 May 2017
- News
Women May Find Management Positions Less Desirable
- 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
Gino, Francesca, Caroline Ashley Wilmuth, and Alison Wood Brooks. "Compared to Men, Women View Professional Advancement as Equally Attainable, but Less Desirable." Proceedings of the National Academy of Sciences 112, no. 40 (October 6, 2015).
- 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.)
- 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
Badaracco, Joseph L., Jr., and Ilyse Barkan. "Ann Hopkins (B)." Harvard Business School Supplement 391-170, March 1991. (Revised July 2001.)
- 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
Cullen, Zoë, and Ricardo Perez-Truglia. "The Salary Taboo: Privacy Norms and the Diffusion of Information." Art. 104890. Journal of Public Economics 222 (June 2023).
- 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
- 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
Ely, Robin, and Colleen Ammerman. "Organizational Behavior Reading: Managing Differences." Core Curriculum Readings Series. Boston, MA: Harvard Business Publishing 8394, 2022.
- 05 Oct 2010
- Working Paper Summaries
A Positive Approach to Studying Diversity in Organizations
Keywords: by Lakshmi Ramarajan & David Thomas
- 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.)
- 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
- 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