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Publications
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- Faculty Publications (329)
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- February 1990 (Revised March 1990)
- Case
Quantum Semiconductor, Inc.
By: Janice H. Hammond and Roy D. Shapiro
Quantum is faced with a difficult ethical dilemma--industry studies provide evidence that chemicals used in semiconductor manufacturing may cause women working in fabrication cleanrooms to suffer a higher likelihood of spontaneous abortions. The possibility of other... View Details
Keywords: Safety; Prejudice and Bias; Law; Equality and Inequality; Cost; Production; Ethics; Health; Gender; Semiconductor Industry
- March 1983
- Article
Brilliant but Cruel: Perceptions of Negative Evaluators
By: T. M. Amabile
Using edited excerpts from actual negative and positive book reviews, this research examined the hypothesis that negative evaluators of intellectual products will be perceived as more intelligent than positive evaluators. The results strongly supported the hypothesis.... View Details
- January 1982
- Article
A Negativity Bias in Interpersonal Evaluation
By: T. M. Amabile and A. H. Glazebrook
Two studies were conducted to demonstrate a bias toward negativity in evaluations of persons or their work in particular social circumstances. In Study 1, subjects evaluated materials written by peers. Those working under conditions that placed them in low status... View Details
- 01 Sep 1979
- Conference Presentation
Insecurity Begets Negativity: A Bias in Interpersonal Evaluation
- 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
- Forthcoming
- Article
High-Status Teammates: Award Evaluation in the National Basketball Association
By: Dominika Kinga Randle and Letian Zhang
Social evaluations proceed in stages. First, judges filter a broad pool of candidates and pick a subset for detailed assessment. Then, the chosen group undergoes a closer examination, during which winners are selected. At both stages of the process, judges are... View Details
- Forthcoming
- Article
Human Bias in the Oversight of Firms: Evidence from Workplace Safety Violations
By: Jonas Heese, Gerardo Pérez Cavazos and Andreya Pérez Silva
We study the effects of mood as a source of human bias on regulators’ oversight and enforcement decisions. We use weather at facilities at the time of an OSHA inspection to proxy for the OSHA compliance officers’ mood. We find that during periods of good mood due to... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
- Forthcoming
- Article
Imagining the Future: Memory, Simulation and Beliefs
By: Pedro Bordalo, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about Covid we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event,... View Details
- Teaching Interest
Launching Technology Ventures
This course takes the perspective of founders struggling to achieve product market fit in their early-stage startups. Our cases focus on founder decision during this search and discovery phase, both in the experiments that they design and run as well as the... View Details
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
- Forthcoming
- Article
Optimal Illiquidity
By: John Beshears, James J. Choi, Christopher Clayton, Christopher Harris, David Laibson and Brigitte C. Madrian
We study the socially optimal level of illiquidity in an economy populated by households with taste shocks and present bias with naive beliefs. The government chooses mandatory contributions to accounts, each with a different pre-retirement withdrawal penalty.... View Details
- Research Summary
Overview
Allie's research focuses on diversity, gender, and knowledge within organizations. View Details
- Research Summary
Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
- Research Summary
Overview
Professor Coffman studies the sources of gender gaps in economically-important contexts. Her work focuses on the role of beliefs: how do stereotypes bias the beliefs that individuals hold about themselves (and others), and how do these biased beliefs shape... View Details
- Research Summary
Overview
By: Vincent Pons
Professor Pons studies questions in political economy and development with the goal of understanding how democratic systems function, and how they can be improved.
He decomposes the electoral cycle into four essential steps: the factors affecting voter... View Details
He decomposes the electoral cycle into four essential steps: the factors affecting voter... View Details
- Article
Passion Penalizes Women and Advantages (Unexceptional) Men in High-Potential Designations
By: Joyce He, Jon M. Jachimowicz and Celia Moore
High potential programs offer a swift path up the corporate ladder for those who secure a place on them. However, the evaluation of “potential” occurs under considerable uncertainty, creating fertile ground for gender bias. We document that men are more likely than... View Details
- Forthcoming
- Article
Preference Externality Estimators: A Comparison of Border Approaches and IVs
By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details
- 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
- Forthcoming
- Article
Reducing Prejudice with Counter-stereotypical AI
By: Erik Hermann, Julian De Freitas and Stefano Puntoni
Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details