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- News (22)
- Research (362)
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All HBS Web
(416)
- News (22)
- Research (362)
- Multimedia (1)
- Faculty Publications (287)
- 30 Jan 2006
- Research & Ideas
Looking Behind Bad Decisions
other through these welfare payments. People do not choose less for themselves. Q: In this working paper it is stated that, ". . . nationalism may be the last type of prejudice to be widely tolerated." Please elaborate. A: It is...
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by Manda Salls
- 13 Jun 2005
- Research & Ideas
Rescuing Products with Stealth Positioning
difference between stealth positioning and deceit. The difference is both ethical and economic. When used thoughtfully, stealth positioning is a legitimate way to diffuse prejudice about a product or company, encourage acceptance, and...
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by Youngme Moon
- 01 Mar 2023
- News
Is AI OK?
Illustrations by Dan Bejar Illustrations by Dan Bejar When she began investigating Airbnb’s smart-pricing algorithm several years ago, Assistant Professor Shunyuan Zhang wasn’t looking for evidence that it generated discriminatory outcomes, a problem known as...
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- 01 Oct 2001
- News
Making a World of Difference
side, telling stories and getting to know each other, any fear and prejudice they may have felt before meeting is gone. This is the sort of scene that Alan B. Slifka (MBA '53) had in mind in 1989 when he cofounded The Abraham Fund, a...
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- 21 Oct 2008
- First Look
First Look: October 21, 2008
Stereotype Content Model Authors:P. Caprariello, A.J.C. Cuddy, and S.T. Fiske Publication:Group Processes and Intergroup Relations (in press) Abstract The stereotype content model (SCM) posits that social structure predicts specific cultural stereotypes and associated...
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Martha Lagace
- May 2021
- Teaching Note
Megan Ming Francis: Leadership and Racial Injustice
Teaching Note for Multimedia Case No. 921-701.
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- May 2021
- Case
Megan Ming Francis: Leadership and Racial Injustice
By: Francesca Gino and Frances X. Frei
In this multimedia case, Megan Ming Francis, a professor in the Department of Political Science at the University of Washington (UW) and a visiting professor at the Harvard Kennedy School, discusses the roots of racial injustice and the need for change. Through...
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Keywords:
Racial Injustice;
Race;
Prejudice and Bias;
Organizational Change and Adaptation;
Leadership
Gino, Francesca, and Frances X. Frei. "Megan Ming Francis: Leadership and Racial Injustice." Harvard Business School Multimedia/Video Case 921-701, May 2021.
- July–August 2013
- Article
The Costs of Racial 'Color Blindness'
By: Michael I. Norton and Evan P. Apfelbaum
The article looks at research on people's attitudes and behaviors with respect to noticing and referring to a person's race. It explains the 2013 study, in which participants played a "Guess Who?" style game of asking yes-or-no questions about a group of faces...
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Norton, Michael I., and Evan P. Apfelbaum. "The Costs of Racial 'Color Blindness'." Harvard Business Review 91, nos. 7/8 (July–August 2013): 22.
- March 2007
- Article
Gender Effects and Stock Market Reactions to the Announcement of Top Executive Appointments
This study uses Kanter's token status theory to link announcements of top executives to shareholder reactions, highlighting possible gender effects. Using a sample of top executive announcements from 1990 to 2000, our results show that investor reactions to the...
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- 04 Mar 2019
- Working Paper Summaries
The Revision Bias
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it...
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Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- December 1994 (Revised May 2008)
- Case
Jensen Shoes: Jane Kravitz's Story
Jane Kravitz (Caucasian female), strategic product manager, and Lyndon Twitchell (African American male), a member of her staff at Jensen Shoes, a successful producer and marketer of casual, athletic, and children's footwear, are assigned to new positions and to each...
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Keywords:
Prejudice and Bias;
Race Characteristics;
Attitudes;
Personal Development and Career;
Performance Evaluation;
Gender Characteristics;
Apparel and Accessories Industry
Gentile, Mary C., and Pamela J. Maus. "Jensen Shoes: Jane Kravitz's Story." Harvard Business School Case 395-120, December 1994. (Revised May 2008.)
- June 5, 2015
- Article
How Banking Analysts' Biases Benefit Everyone Except Investors
By: George Serafeim, Joanne Horton and Shan Wu
Keywords:
Banking;
Sell-side Analysts;
Financial Analysis;
Financial Analysts;
Career Management;
Career Advancement;
Labor Market;
Prejudice and Bias;
Investment Banking;
Personal Development and Career
Serafeim, George, Joanne Horton, and Shan Wu. "How Banking Analysts' Biases Benefit Everyone Except Investors." Harvard Business Review (website) (June 5, 2015).
- September 2011
- Article
Taking Gender into Account: Theory and Design for Women's Leadership Development Programs
By: Robin J. Ely, Herminia Ibarra and Deborah Kolb
We conceptualize leadership development as identity work and show how subtle forms of gender bias in the culture and in organizations interfere with the identity work of women leaders. Based on this insight, we revisit traditional approaches to standard leadership...
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Keywords:
Programs;
Prejudice and Bias;
Leadership Development;
Identity;
Organizational Culture;
Gender
Ely, Robin J., Herminia Ibarra, and Deborah Kolb. "Taking Gender into Account: Theory and Design for Women's Leadership Development Programs." Academy of Management Learning & Education 10, no. 3 (September 2011): 474–493. (Winner, Academy of Management Learning and Education, Decade Award, 2021.)
- 2008
- Working Paper
Taste Heterogeneity, IIA, and the Similarity Critique
By: Thomas J. Steenburgh and Andrew Ainslie
The purpose of this paper is to show that allowing for taste heterogeneity does not address the similarity critique of discrete-choice models. Although IIA may technically be broken in aggregate, the mixed logit model allows neither a given individual nor the... View Details
Steenburgh, Thomas J., and Andrew Ainslie. "Taste Heterogeneity, IIA, and the Similarity Critique." Harvard Business School Working Paper, No. 09-049, September 2008.
- 2005
- Working Paper
Silent Saboteurs: How Implicit Theories of Voice Inhibit the Upward Flow of Knowledge in Organizations
By: James R. Detert and Amy C. Edmondson
This article examines, in a series of three studies, how people working in organizational hierarchies wrestle with the challenge of upward voice. We first undertook in-depth exploratory research in a knowledge-intensive multinational corporation in which employee input...
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Keywords:
Prejudice and Bias;
Working Conditions;
Knowledge Management;
Attitudes;
Organizational Culture
Detert, James R., and Amy C. Edmondson. "Silent Saboteurs: How Implicit Theories of Voice Inhibit the Upward Flow of Knowledge in Organizations." Harvard Business School Working Paper, No. 06-024, December 2005. (Revised October 2006, December 2008.)
- June 2005
- Article
This Old Stereotype: The Stubbornness and Pervasiveness of the Elderly Stereotype
By: A.J.C. Cuddy, M. I. Norton and S. T. Fiske
Americans stereotype elderly people as warm and incompetent, following from perceptions of them as noncompetitive and low status, respectively. This article extends existing research regarding stereotyping of older people in two ways. First, we discuss whether the...
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Cuddy, A.J.C., M. I. Norton, and S. T. Fiske. "This Old Stereotype: The Stubbornness and Pervasiveness of the Elderly Stereotype." Journal of Social Issues 61, no. 2 (June 2005): 267–285.
- November–December 2023
- Article
Look the Part? The Role of Profile Pictures in Online Labor Markets
By: Isamar Troncoso and Lan Luo
Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"...
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Keywords:
Freelancers;
Gig Workers;
Demographics;
Prejudice and Bias;
Selection and Staffing;
Jobs and Positions;
Analytics and Data Science
Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
- Article
Fighting Bias on the Front Lines
By: Alexandra C. Feldberg and Tami Kim
Most companies aim for exceptional customer service, but too few are attentive to the subtle discrimination by frontline employees that can alienate customers, lead to lawsuits, or even cause lasting brand damage by going viral.
This article presents research... View Details
This article presents research... View Details
Keywords:
Customer Service;
Customer Focus and Relationships;
Service Delivery;
Diversity;
Prejudice and Bias;
Organizational Change and Adaptation
Feldberg, Alexandra C., and Tami Kim. "Fighting Bias on the Front Lines." Harvard Business Review 99, no. 6 (November–December 2021): 90–98.
- 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...
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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.)