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(425)
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- Faculty Publications (302)
Show Results For
- All HBS Web
(425)
- News (20)
- Research (383)
- Multimedia (1)
- Faculty Publications (302)
- May 2022
- Article
When Harry Fired Sally: The Double Standard in Punishing Misconduct
By: Mark Egan, Gregor Matvos and Amit Seru
We examine gender differences in misconduct punishment in the financial advisory industry. We find evidence of a “gender punishment gap”: following an incident of misconduct, female advisers are 20% more likely to lose their jobs and 30% less likely to find new jobs... View Details
Keywords: Financial Advisers; Brokers; Gender Discrimination; Consumer Finance; Financial Misconduct And Fraud; FINRA; Financial Institutions; Employees; Crime and Corruption; Gender; Prejudice and Bias; Personal Finance; Financial Services Industry
Egan, Mark, Gregor Matvos, and Amit Seru. "When Harry Fired Sally: The Double Standard in Punishing Misconduct." Journal of Political Economy 130, no. 5 (May 2022): 1184–1248.
- 2020
- Working Paper
Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus
By: David Hao Zhang and Paul Willen
We use a new methodology to assess mortgage pricing discrimination by race. We make four main contributions. First, we show that existing estimates of mortgage pricing differences by race can be confounded by a "menu problem," which is the problem associated with... View Details
Keywords: Mortgages; Financing and Loans; Prejudice and Bias; Race; Measurement and Metrics; Banking Industry; United States
Zhang, David Hao, and Paul Willen. "Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus." Working Paper, September 2020.
- May 2016
- Article
When Performance Trumps Gender Bias: Joint Versus Separate Evaluation
By: Iris Bohnet, Alexandra van Geen and Max 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; Decision Choices and Conditions; Performance; Gender
Bohnet, Iris, Alexandra van Geen, and Max Bazerman. "When Performance Trumps Gender Bias: Joint Versus Separate Evaluation." Management Science 62, no. 5 (May 2016): 1225–1234.
- 2024
- Working Paper
Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance
By: Ramana Nanda
At the heart of entrepreneurial finance lies a persuasion challenge: regardless of
the strength of an entrepreneur’s belief in the potential of their idea, they typically
need to convince investors to provide the financial capital required for its... View Details
Keywords: Entrepreneurial Finance; Business Startups; Communication Intention and Meaning; Prejudice and Bias
Nanda, Ramana. "Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance." Harvard Business School Working Paper, No. 25-020, October 2024.
- 2016
- Working Paper
Meet the Oligarchs: Business Legitimacy, State Capacity and Taxation
By: Rafael Di Tella, Juan Dubra and Alejandro Lagomarsino
We analyze the role of people’s beliefs about the rich in the determination of public policy in the context of a randomized online survey experiment. A question we study is the desirability of government-private sector meetings, a variable we argue is connected to... View Details
Keywords: Business Legitimacy; State Capacity; Meetings; Taxes; Top 1%; Regulation; Prejudice and Bias; Values and Beliefs; Taxation; Business and Government Relations
Di Tella, Rafael, Juan Dubra, and Alejandro Lagomarsino. "Meet the Oligarchs: Business Legitimacy, State Capacity and Taxation." Harvard Business School Working Paper, No. 17-046, December 2016.
- Article
Overcoming the Outcome Bias: Making Intentions Matter
By: Ovul Sezer, Ting Zhang, Francesca Gino and Max Bazerman
People often make the well-documented mistake of paying too much attention to the outcomes of others’ actions while neglecting information about the original intentions leading to those outcomes. In five experiments, we examine interventions aimed at reducing this... View Details
Keywords: Outcome Bias; Intentions; Joint Evaluation; Judgment; Separate Evaluation; Goals and Objectives; Prejudice and Bias; Judgments; Performance Evaluation; Outcome or Result
Sezer, Ovul, Ting Zhang, Francesca Gino, and Max Bazerman. "Overcoming the Outcome Bias: Making Intentions Matter." Organizational Behavior and Human Decision Processes 137 (November 2016): 13–26.
- October 2024
- Article
Racial Inequality in Organizations: A Systems Psychodynamic Perspective
By: Sanaz Mobasseri, William A. Kahn and Robin J. Ely
This paper uses systems psychodynamic concepts to develop theory about the persistence of racial inequality in U.S. organizations and to inform an approach for disrupting it. We treat White men as the dominant group and Black people as the archetypal subordinate group... View Details
Keywords: Equality and Inequality; Race; Prejudice and Bias; Organizational Culture; Gender; Power and Influence; Employees; Attitudes
Mobasseri, Sanaz, William A. Kahn, and Robin J. Ely. "Racial Inequality in Organizations: A Systems Psychodynamic Perspective." Academy of Management Review 49, no. 4 (October 2024): 718–745.
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- 2011
- Working Paper
Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior
By: David F. Drake
In an experimental newsvendor setting we investigate three phenomena: Level behavior — the decision-maker's average ordering tendency; adjustment behavior — the tendency to adjust period-to-period order quantities; and observation bias — the tendency to let the degree... View Details
Drake, David F. "Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior." Harvard Business School Working Paper, No. 12-042, December 2011.
- 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
Parsons, Christopher, J. Sulaeman, M. Yates, and D. Hamermesh. "Strike Three: Discrimination, Incentives, and Evaluation." American Economic Review 101, no. 4 (June 2011): 1410–1435.
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- 2021
- Working Paper
Bollywood, Skin Color and Sexism: The Role of the Film Industry in Emboldening and Contesting Stereotypes in India after Independence
By: Sudev Sheth, Geoffrey Jones and Morgan Spencer
This working paper examines the social impact of the film industry in India during the first four decades after Indian Independence in 1947. It shows that Bollywood, the mainstream cinema in India and the counterpart in scale to Hollywood in the United States, shared... View Details
Keywords: Film Industry; Bollywood; Tamil Cinema; Male Gaze; Social Impact; Stereotypes; Oral History; Film Entertainment; Gender; Race; Personal Characteristics; Prejudice and Bias; Business History; Motion Pictures and Video Industry; India
Sheth, Sudev, Geoffrey Jones, and Morgan Spencer. "Bollywood, Skin Color and Sexism: The Role of the Film Industry in Emboldening and Contesting Stereotypes in India after Independence." Harvard Business School Working Paper, No. 21-077, January 2021.
- 01 Jun 2002
- News
Profile: The Invisible Hand - Robert Massie and God's Green Earth
monolithic view of business and didn't understand the functions of marketing, say, or finance,” he says. “I became fascinated by it all and found that many of my prejudices were wrong. I also found that businesspeople and students were... View Details
- September 29, 2023
- Article
Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI
By: Simon Friis and James Riley
When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
- December 4, 2023
- Article
Stop Assuming Introverts Aren't Passionate About Work
By: Kai Krautter, Anabel Büchner and Jon M. Jachimowicz
Society often assumes that the only way to be passionate is to act extroverted, but that is simply not true. In their new research, the authors found that regardless of their actual level of passion, extroverted employees are perceived as more passionate than... View Details
Keywords: Passion; Personality; Extraversion; Scale Development; Personal Characteristics; Perception; Employees; Prejudice and Bias
Krautter, Kai, Anabel Büchner, and Jon M. Jachimowicz. "Stop Assuming Introverts Aren't Passionate About Work." Harvard Business Review Digital Articles (December 4, 2023).
- July 2021
- Article
Structuring Local Environments to Avoid Diversity: Anxiety Drives Whites' Geographical and Institutional Self-Segregation Preferences
By: Eric Anicich, Jon M. Jachimowicz, Merrick Osborne and L. Taylor Phillips
The current research explores how local racial diversity affects Whites’ efforts to structure their local communities to avoid incidental intergroup contact. In two experimental studies (N=509; Studies 1a-b), we consider Whites’ choices to structure a fictional,... View Details
Keywords: Segregration; Structural/institutional Racism; Organizational Exclusion; Diversity; Race; Organizations; Local Range; Prejudice and Bias
Anicich, Eric, Jon M. Jachimowicz, Merrick Osborne, and L. Taylor Phillips. "Structuring Local Environments to Avoid Diversity: Anxiety Drives Whites' Geographical and Institutional Self-Segregation Preferences." Art. 104117. Journal of Experimental Social Psychology 95 (July 2021).
- Article
A Fair Game? Racial Bias and Repeated Interaction between NBA Coaches and Players
By: Letian Zhang
There is strong evidence of racial bias in organizations but little understanding of how it changes with repeated interaction. This study proposes that repeated interaction has the potential to reduce racial bias, but its moderating effects are limited to the treatment... View Details
Keywords: Discrimination; Bias; Interaction; NBA; Prejudice and Bias; Race; Equality and Inequality; Interpersonal Communication; Sports
Zhang, Letian. "A Fair Game? Racial Bias and Repeated Interaction between NBA Coaches and Players." Administrative Science Quarterly 62, no. 4 (December 2017): 603–625.
- Article
Gender Bias, Social Impact Framing, and Evaluation of Entrepreneurial Ventures
By: Matthew Lee and Laura Huang
Recent studies find that female-led ventures are penalized relative to male-led ventures due to role incongruity, or a perceived “lack of fit,” between female stereotypes and expected personal qualities of business entrepreneurs. We examine whether social impact... View Details
Keywords: Entrepreneurship; Gender; Prejudice and Bias; Framework; Perception; Performance Evaluation
Lee, Matthew, and Laura Huang. "Gender Bias, Social Impact Framing, and Evaluation of Entrepreneurial Ventures." Organization Science 29, no. 1 (January–February 2018): 1–16.
- Fall, 2024
- Article
Sixty Years of the Voting Rights Act: Progress and Pitfalls
By: Andrea Bernini, Giovanni Facchini, Marco Tabellini and Cecilia Testa
We review the literature on the effects of the 1965 Voting Rights Act (VRA), which removed formal restrictions to Black political participation. After a brief description of racial discrimination suffered by Black Americans since Reconstruction, we introduce the goals... View Details
Keywords: Prejudice and Bias; Equality and Inequality; Race; Political Elections; Voting; Policy; Outcome or Result; Government Legislation
Bernini, Andrea, Giovanni Facchini, Marco Tabellini, and Cecilia Testa. "Sixty Years of the Voting Rights Act: Progress and Pitfalls." Oxford Review of Economic Policy 40, no. 3 (Fall, 2024): 486–497.