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Show Results For
- All HBS Web
(1,564)
- News (520)
- Research (812)
- Events (7)
- Multimedia (2)
- Faculty Publications (404)
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- September 2, 2014
- Article
Development of In-Group Favoritism in Children's Third-Party Punishment of Selfishness
By: Jillian J. Jordan, Katherine McAuliffe and Felix Warneken
When enforcing norms for cooperative behavior, human adults sometimes exhibit in-group bias. For example, third-party observers punish selfish behaviors committed by out-group members more harshly than similar behaviors committed by in-group members. Although evidence... View Details
Jordan, Jillian J., Katherine McAuliffe, and Felix Warneken. "Development of In-Group Favoritism in Children's Third-Party Punishment of Selfishness." Proceedings of the National Academy of Sciences 111, no. 35 (September 2, 2014): 12710–12715.
- Research Summary
Overview
Ms. Fedyk's main research interests lie at the intersection of asset pricing and behavioral finance, with a particular focus on information and belief formation. Her job market paper is part of a broader research agenda on the way in which information is incorporated... View Details
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- September 2023
- Article
A Pull versus Push Framework for Reputation
Reputation is a powerful driver of human behavior. Reputation systems incentivize 'actors' to take reputation-enhancing actions, and 'evaluators' to reward actors with positive reputations by preferentially cooperating with them. This article proposes a reputation... View Details
Jordan, Jillian J. "A Pull versus Push Framework for Reputation." Trends in Cognitive Sciences 27, no. 9 (September 2023): 852–866.
- Teaching Interest
Overview
Professor Mukunda teaches Leadership and Organizational Behavior (LEAD.) This course focuses on how managers become effective leaders by addressing the human side of enterprise.
The first modules examine teams, individuals, and networks in the context... View Details
- May 2009 (Revised August 2010)
- Case
The Jenner Situation
By: Richard G. Hamermesh, Andy Whittemore and Eliot Sherman
Dr. Bill Lemont is the new chief medical officer of a large academic medical center. During his first week on the job he has become aware of the abusive behavior and temper outbursts of a prominent orthopedic surgeon. How Dr. Lemont handles the situation will be... View Details
Keywords: Interpersonal Communication; Employee Relationship Management; Managerial Roles; Behavior; Conflict Management; Health Industry
Hamermesh, Richard G., Andy Whittemore, and Eliot Sherman. "The Jenner Situation." Harvard Business School Case 809-070, May 2009. (Revised August 2010.)
- Research Summary
Violence and Forced Migration
Professor Fabbe’s second area of research focuses on individual and collective responses to violence and forced migration. Under this research stream, she has implemented large survey projects in Iraq, Turkey, and Morocco. Her work in Turkey tests the notion that... View Details
- November–December 2019
- Article
Making Sense of Soft Information: Interpretation Bias and Loan Quality
By: Dennis Campbell, Maria Loumioti and Regina Wittenberg Moerman
We explore whether behavioral biases impede the effective processing and interpretation of soft information in private lending. Taking advantage of the internal reporting system of a large federal credit union, we delineate three important biases likely to affect the... View Details
Keywords: Soft Information; Lending; Banking; Information; Financing and Loans; Banks and Banking; Decision Making
Campbell, Dennis, Maria Loumioti, and Regina Wittenberg Moerman. "Making Sense of Soft Information: Interpretation Bias and Loan Quality." Art. 101240. Journal of Accounting & Economics 68, nos. 2-3 (November–December 2019).
- 2010
- Working Paper
A New Paradigm of Individual, Group and Organizational Performance
By: Werner Erhard, Michael C. Jensen and The Barbados Group
"The committee is therefore unable to draw conclusions, based on scientific evidence, on what does or does not work to enhance organizational performance" —Committee on Techniques for the Enhancement of Human Performance of the U.S. National Research Council Commission... View Details
Erhard, Werner, Michael C. Jensen, and The Barbados Group. "A New Paradigm of Individual, Group and Organizational Performance." Harvard Business School Working Paper, No. 11-006, July 2010.
- 04 Mar 2013
- Working Paper Summaries
The Dirty Laundry of Employee Award Programs: Evidence from the Field
- 03 Oct 2017
- First Look
First Look at Research and Ideas, October 3, 2017
manipulation that involves misclassifying a patient into a diagnosis-related group that yields higher reimbursement. As overbilling allows hospitals to increase revenues without altering operations, affecting costs, or having to reverse such View Details
Keywords: by Sean Silverthorne
- April 2004 (Revised May 2010)
- Case
Columbia's Final Mission
By: Richard M.J. Bohmer, Amy C. Edmondson, Michael Roberto, Laura Feldman and Erika Ferlins
Describes the 16-day final mission of the space shuttle Columbia in January 2003 in which seven astronauts died. Includes background on NASA and the creation of the human space flight program, including the 1970 Apollo 13 crisis and 1986 Challenger disaster. Examines... View Details
Keywords: Leadership; Crisis Management; Management Skills; Organizational Culture; Groups and Teams; Behavior; Aerospace Industry
Bohmer, Richard M.J., Amy C. Edmondson, Michael Roberto, Laura Feldman, and Erika Ferlins. "Columbia's Final Mission." Harvard Business School Case 304-090, April 2004. (Revised May 2010.)
- 2025
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers
By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
DosSantos DiSorbo, Matthew, Kris Ferreira, Maya Balakrishnan, and Jordan Tong. "Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers." Working Paper, May 2025.
- Teaching Interest
Overview
Professor Bernstein currently teaches a second-year MBA course in Managing Human Capital (MHC). He is also the faculty chair for the Harvard Business School Online Developing Yourself as a Leader course and teaches in a variety of executive education... View Details
Keywords: Leadership; Leadership Development; Leadership Style; Innovation Leadership; Management Practices and Processes; Management Succession; Management Style; Management Systems; Management Teams; Managerial Roles; Organizations; Organizational Culture; Organizational Design; Organizational Structure; Mission and Purpose; Organizational Change and Adaptation; Performance; Information Technology; Strategy; Human Resources; Compensation and Benefits; Employees; Recruitment; Resignation and Termination; Retention; Selection and Staffing
- September 2013
- Article
Women Rising: The Unseen Barriers
By: Herminia Ibarra, Robin Ely and Deborah Kolb
Even when CEOs make gender diversity a priority—by setting aspirational goals for the proportion of women in leadership roles, insisting on diverse slates of candidates for senior positions, and developing mentoring and training programs—they are often frustrated by a... View Details
Keywords: Prejudice and Bias; Leadership Development; Working Conditions; Organizational Culture; Gender; Diversity
Ibarra, Herminia, Robin Ely, and Deborah Kolb. "Women Rising: The Unseen Barriers." R1309C. Harvard Business Review 91, no. 9 (September 2013): 60–66.
- Article
Values, Purpose, Meaning, and Expectations: Why Culture and Context Matter
The "rational person" standard, based on assumptions of economic self-interest, has long prevailed in legal reasoning. But understanding of decision making, behavioral choices, and possibilities for action must be enlarged to include a variety of factors that give... View Details
Keywords: Standards; Interests; Decision Making; Behavior; Value; Groups and Teams; Performance Expectations; Organizational Culture; Leadership; Business Cycles; Forecasting and Prediction; Motivation and Incentives
Kanter, Rosabeth M. "Values, Purpose, Meaning, and Expectations: Why Culture and Context Matter." Alabama Law Review 62, no. 5 (2011).
- Article
Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates
By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- 29 May 2013
- Research & Ideas
Faculty Symposium Showcases Breadth of Research
going on at the School. This year the presentation topics included the human tendency toward dishonesty, the use of crowdsourcing to solve major scientific problems, and the impact of private equity investments. Understanding Dishonesty... View Details
- 01 Oct 2007
- Research & Ideas
Encouraging Dissent in Decision-Making
which all organized human groups are susceptible—the suppression, especially during planning and decision-making, of views that might be perceived as contentious or disruptive to an organization's foundational beliefs. Consider the costs... View Details
Keywords: by Garry Emmons