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Show Results For
- All HBS Web
(661)
- People (1)
- News (88)
- Research (452)
- Events (13)
- Multimedia (1)
- Faculty Publications (249)
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- 09 May 2012
- Research & Ideas
Clayton Christensen’s “How Will You Measure Your Life?”
such analysis shows that the marginal costs are lower, and marginal profits are higher, than the full cost. This doctrine biases companies to leverage what they have put in place to succeed in the past,... View Details
- June 2011
- Article
Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor
By: Christina Fong and Felix Oberholzer-Gee
It is often difficult for donors to predict the value of charitable giving because they know little about the persons who receive their help. This concern is particularly acute when making contributions to organizations that serve heterogeneous populations. While we... View Details
Keywords: Philanthropy and Charitable Giving; Policy; Information; Knowledge Acquisition; Game Theory; Prejudice and Bias; Poverty; Welfare
Fong, Christina, and Felix Oberholzer-Gee. "Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor." Special Issue on Charitable Giving and Fundraising Journal of Public Economics 95, nos. 5-6 (June 2011): 436–444.
- 05 Dec 2023
- Research & Ideas
Lessons in Decision-Making: Confident People Aren't Always Correct (Except When They Are)
of “first-order importance” for understanding behavioral economics’ influence on social science. “Although behavioral economists have put great energies into studying how nudges, frames, familiarity, and learning influence View Details
Keywords: by Kara Baskin
- Article
Default Neglect in Attempts at Social Influence
By: Julian Zlatev, David P. Daniels, Hajin Kim and Margaret A. Neale
Current theories suggest that people understand how to exploit common biases to influence others. However, these predictions have received little empirical attention. We consider a widely studied bias with special policy relevance: the default effect, which is the... View Details
Zlatev, Julian, David P. Daniels, Hajin Kim, and Margaret A. Neale. "Default Neglect in Attempts at Social Influence." Proceedings of the National Academy of Sciences 114, no. 52 (December 26, 2017).
- 2020
- Working Paper
Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty
By: J. Peter Scoblic
This paper proposes to treat strategic foresight as a dynamic capability, providing a new theoretical lens on managerial judgment. Formulating strategy under uncertainty is a central challenge facing the modern firm. Analogy is thought to help managers make sense of... View Details
Keywords: Foresight; Dynamic Capabilities; Managerial Judgment; Risk and Uncertainty; Management; Strategy
Scoblic, J. Peter. "Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty." Harvard Business School Working Paper, No. 20-093, March 2020.
- 2010
- Working Paper
Substitution Patterns of the Random Coefficients Logit
By: Thomas J. Steenburgh and Andrew Ainslie
Previous research suggests that the random coefficients logit is a highly flexible model that overcomes the problems of the homogeneous logit by allowing for differences in tastes across individuals. The purpose of this paper is to show that this is not true. We prove... View Details
Steenburgh, Thomas J., and Andrew Ainslie. "Substitution Patterns of the Random Coefficients Logit." Harvard Business School Working Paper, No. 10-053, January 2010.
- 16 Nov 2010
- First Look
First Look: November 16, 2010
"truth in giving" policies are highly responsive to recipient heterogeneity and biased against more generous giving. Traveling Agents: Political Change and... View Details
Keywords: Sean Silverthorne
- 2019
- Working Paper
Veil-of-Ignorance Reasoning Favors the Greater Good
By: Karen Huang, Joshua D. Greene and Max Bazerman
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
Huang, Karen, Joshua D. Greene, and Max Bazerman. "Veil-of-Ignorance Reasoning Favors the Greater Good." Working Paper, October 2019.
- November 26, 2019
- Article
Veil-of-Ignorance Reasoning Favors the Greater Good
By: Karen Huang, Joshua D. Greene and Max Bazerman
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
Huang, Karen, Joshua D. Greene, and Max Bazerman. "Veil-of-Ignorance Reasoning Favors the Greater Good." Proceedings of the National Academy of Sciences 116, no. 48 (November 26, 2019).
- 26 Apr 2023
- In Practice
Is AI Coming for Your Job?
ask for images of “a man,” it is very likely to create an image of a white man, likely because of the data on which it was trained. This issue of perpetuating biases raises a lot of interesting policy questions about who should be... View Details
- 11 Sep 2017
- Research & Ideas
Why Employers Favor Men
findings may help employers train recruiters to be aware of their biases and work around them. The two faces of discrimination Gender discrimination clearly runs through the workplace. Women earn about 78... View Details
Keywords: by Dina Gerdeman
- 05 Jun 2012
- First Look
First Look: June 5
PublicationsTowards an Understanding of the Role of Standard Setters in Standard Setting Authors:Abigail M. Allen and Karthik Ramanna Publication:Journal of Accounting & Economics (forthcoming) Abstract We investigate the effect of... View Details
Keywords: Sean Silverthorne
- 15 May 2024
- Research & Ideas
A Major Roadblock for Autonomous Cars: Motorists Believe They Drive Better
incentives may motivate drivers to take a second look at automation features and tolerate their discomfort around driving in an “inferior” vehicle, the authors suggest. 3.Educate consumers—effectively. Educational videos about people’s... View Details
- 28 Mar 2012
- Working Paper Summaries
When Performance Trumps Gender Bias: Joint versus Separate Evaluation
- 23 May 2023
- Research & Ideas
Face Value: Do Certain Physical Features Help People Get Ahead?
success. The work has implications for hiring managers, business leaders, politicians, virtual influencer designers, and maybe even plastic surgeons. After all, it’s possible to use makeup to get higher cheekbones or to change hairstyles... View Details
Keywords: by Kara Baskin
- 10 Jul 2007
- Working Paper Summaries
The Persuasive Appeal of Stigma
- 22 Jun 2022
- Book
Four Elements for Finding the Right Career Path
my 40 years of working as a psychologist and a trainer of coaches and counselors. The question I asked was: “What issues are always present when individuals are faced with major career View Details
Keywords: by Dina Gerdeman
- 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
- 2023
- Working Paper
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
- May–June 2024
- Article
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Organization Science 35, no. 3 (May–June 2024): 911–927.