Prejudice - Publications - Faculty & Research - Harvard Business School

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April 2025
Case

Giving Up on a Passion: Elizabeth Rowe at the Boston Symphony Orchestra

By: Jon M. Jachimowicz, Maisie Wiltshire-Gordon and Alexis Lefort

For 20 years, Elizabeth Rowe was a world-renowned principal flutist with the Boston Symphony Orchestra. But in 2024, Rowe decided to leave her position to pursue a new full-time career as a leadership coach. At 50, Rowe was well under the typical retirement age, and,... View Details

April 2025
Article

Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang

Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details

Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception

December 2020
Supplement

Video Interview with Pandwe Gibson

By: Rosabeth M. Kanter and Joyce J. Kim

Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details

Keywords: Female Entrepreneur; Entrepreneurial Ecosystems; Sexism; Racism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami

October 2017 (Revised November 2017)
Case

NYC311

By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick

Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details

May 2011
Article

Overconfidence by Bayesian Rational Agents

By: Eric J. Van den Steen

This paper derives two mechanisms through which Bayesian-rational individuals with differing priors will tend to be relatively overconfident about their estimates and predictions, in the sense of overestimating the precision of these estimates. The intuition behind one... View Details

Keywords: Decision Choices and Conditions; Forecasting and Prediction; Knowledge Acquisition; Risk Management; Prejudice and Bias

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2006
Working Paper

Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning

To date, little research has been done on managing the organizational and political dimensions of generating and improving forecasts in corporate settings. We examine the implementation of a supply chain planning process at a consumer electronics company, concentrating... View Details

Keywords: Prejudice and Bias; Business or Company Management; Supply Chain Management; Forecasting and Prediction; Planning; Electronics Industry

November 2007
Case

Differences at Work: Alex (A)

By: Sandra J. Sucher and Rachel Gordon

At an interview for his dream job, Alex has been asked an inappropriate question by the interviewer. How will Alex handle the situation? Should he accept the position is offered? View Details

Keywords: Prejudice and Bias; Behavior; Job Interviews; Ethics; Human Resources; Diversity; Power and Influence

March 2024
Case

Unintended Consequences of Algorithmic Personalization

By: Eva Ascarza and Ayelet Israeli

“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details

Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States

2012
Working Paper

When Performance Trumps Gender Bias: Joint versus Separate Evaluation

By: Iris Bohnet, Alexandra van Geen and Max H. Bazerman

We examine a new intervention to overcome gender biases in hiring, promotion, and job assignments: an "evaluation nudge," in which people are evaluated jointly rather than separately regarding their future performance. Evaluators are more likely to focus on individual... View Details

Keywords: Prejudice and Bias; Selection and Staffing; Behavior; Groups and Teams; Decision Making; Performance Evaluation; Gender

2010
Working Paper

Valuation When Cash Flow Forecasts Are Biased

By: Richard S. Ruback

This paper focuses adaptations to the discount cash flow (DCF) method when valuing forecasted cash flows that are biased measures of expected cash flows. I imagine a simple setting where the expected cash flows equal the forecasted cash flows plus an omitted downside.... View Details

Keywords: Forecasting and Prediction; Cash Flow; Cost of Capital; Performance Expectations; Prejudice and Bias; Valuation

April 2021 (Revised April 2021)
Teaching Plan

Nehemiah Mfg. Co.: Providing a Second Chance

By: Brian Trelstad and John Masko

Teaching Plan for HBS Case No. 320-008. In 2009, Dan Meyer and Richard Palmer, two veterans of the fast-moving consumer goods (FMCG) industry, founded Nehemiah Manufacturing to build FMCG brands while providing jobs to Cincinnati, Ohio’s beleaguered urban core. Two... View Details

Keywords: Social Entrepreneurship; Retention; Selection and Staffing; Employment; Human Capital; Growth Management; Brands and Branding; Social Marketing; Mission and Purpose; Prejudice and Bias; City; Urban Scope; Consumer Products Industry; Manufacturing Industry; Ohio; United States

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

23 Sep 2008
First Look

First Look: September 23, 2008

incompetence. Warmth and competence judgments support systematic patterns of cognitive, emotional, and behavioral reactions, including ambivalent prejudices. Past views of prejudice as a univalent antipathy have obscured the unique... View Details

Keywords: Martha Lagace

July 1977
Article

Social Roles, Social Control and Biases in Social Perception Processes

By: L. D. Ross, T. M. Amabile and J. Steinmetz

To make accurate social judgments, an individual must both recognize and adequately correct for the self-presentation advantages or disadvantages conferred upon actors by their social roles. Two experiments using 120 undergraduates examined social perceptions formed... View Details

Keywords: Perception; Prejudice and Bias; Social Psychology; Judgments; Power and Influence; Status and Position; Situation or Environment

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Article

Stereotype Content Model across Cultures: Universal Similarities and Some Differences

By: A.J.C. Cuddy, S.T. Fiske, V.S.Y. Kwan, P. Glick, S. Demoulin, J. Ph. Leyens and M.H. Bond

The stereotype content model (SCM; Fiske, Cuddy, Glick, & Xu, 2002) proposes potentially universal principles of societal stereotypes and their relation to social structure. Here, the SCM reveals theoretically grounded, cross-cultural, cross-groups' similarities and... View Details

Keywords: Cross-Cultural and Cross-Border Issues; Management Analysis, Tools, and Techniques; Relationships; Groups and Teams; Prejudice and Bias; Culture; Societal Protocols; East Asia; Europe

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January 2008
Article

Innovation Killers: How Financial Tools Destroy Your Capacity to Do New Things

By: Clayton M. Christensen, Stephen P. Kaufman and Willy C. Shih

Most companies aren't half as innovative as their senior executives want them to be (or as their marketing claims suggest they are). What's stifling innovation? There are plenty of usual suspects, but the authors finger three financial tools as key accomplices.... View Details

Keywords: Investment; Innovation and Management; Growth and Development Strategy; Business and Shareholder Relations; Prejudice and Bias; Value Creation

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2010
Article

The Ethical Mirage: A Temporal Explanation as to Why We Are Not as Ethical as We Think We Are

By: A. E. Tenbrunsel, K. Diekmann, K A. Wade-Benzoni and Max Bazerman

This paper explores the biased perceptions that people hold of their own ethicality. We argue that the temporal trichotomy of prediction, action and recollection is central to these misperceptions: People predict that they will behave more ethically than they actually... View Details

Keywords: Forecasting and Prediction; Values and Beliefs; Framework; Research; Behavior; Cognition and Thinking; Perception; Prejudice and Bias

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25 Feb 2020
News

Alumni and Faculty Books for March 2020

Preface by Augustus White III, M.D. (AMP 94, 1984) Harvard University Press Growing up in Jim Crow–era Tennessee and training and teaching in overwhelmingly white medical institutions, Gus White witnessed firsthand how prejudice works in... View Details

2013
Chapter

Behavioral Corporate Finance: A Current Survey

By: Malcolm Baker and Jeffrey Wurgler

We survey the theory and evidence of behavioral corporate finance, which generally takes one of two approaches. The market timing and catering approach views managerial financing and investment decisions as rational managerial responses to securities mispricing. The... View Details

Keywords: Managerial Roles; Theory; Corporate Finance; Financial Management; Investment; Market Timing; Behavioral Finance; Prejudice and Bias; Economics; Forecasting and Prediction

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June 2018
Teaching Note

Difficult Conversations and Dealing with Challenging Situations at Work

By: Boris Groysberg and Amram Migdal

Teaching Note for HBS Nos. 416-031, 416-032, 416-033, 416-034, 416-035, and 416-036. View Details

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