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Show Results For
- All HBS Web
(10,694)
- People (64)
- News (3,258)
- Research (3,905)
- Events (24)
- Multimedia (60)
- Faculty Publications (1,368)
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- 2013
- Article
Inflated Applicants: Attribution Errors in Performance Evaluation by Professionals
By: S. A. Swift, D. Moore, Z. Sharek and F. Gino
When explaining others' behaviors, achievements, and failures, it is common for people to attribute too much influence to disposition and too little influence to structural and situational factors. We examine whether this tendency leads even experienced professionals... View Details
Keywords: Evaluations; Correspondence Bias; Selection Decisions; Attribution; Prejudice and Bias; Selection and Staffing; Decision Choices and Conditions; Performance Evaluation; Cognition and Thinking
Swift, S. A., D. Moore, Z. Sharek, and F. Gino. "Inflated Applicants: Attribution Errors in Performance Evaluation by Professionals." e69258. PLoS ONE 8, no. 7 (July 2013).
- 2020
- Book
Think Outside the Building: How Advanced Leaders Can Change the World One Smart Innovation at a Time
Over a decade ago, renowned innovation expert Rosabeth Moss Kanter co-founded and then directed Harvard’s Advanced Leadership Initiative. Her breakthrough work with hundreds of successful professionals and executives, as well as aspiring young entrepreneurs, identifies... View Details
Keywords: Leaders; Advanced Leadership; Advanced Leadership Initiative; Community; Change Leadership; Innovation; Problem Solving; Cross-sector Collaboration; Institutional Change; Leadership; Change; Leading Change; Communication; Innovation Leadership; Collaborative Innovation and Invention; Organizational Change and Adaptation; Business and Community Relations; Civil Society or Community
Kanter, Rosabeth Moss. Think Outside the Building: How Advanced Leaders Can Change the World One Smart Innovation at a Time. New York: PublicAffairs, 2020.
- September 2006
- Article
The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
In an experiment, players ability to learn to cooperate in the repeated prisoners dilemma was substantially diminished when the payoffs were noisy, even though players could monitor one anothers past actions perfectly. In contrast, in one-time play against a succession... View Details
Bereby-Meyer, Yoella, and Alvin E. Roth. "The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
- October 2018
- Article
The Operational Value of Social Media Information
By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details
Cui, Ruomeng, Santiago Gallino, Antonio Moreno, and Dennis J. Zhang. "The Operational Value of Social Media Information." Special Issue on Big Data in Supply Chain Management. Production and Operations Management 27, no. 10 (October 2018): 1749–1774.
- November 1, 2019
- Article
Companies Think They Want New Ideas. But They Don’t Act Like It
Leaders say that they want more innovation. But then they trap themselves and their associates inside the structures that keep them stuck–inside the building, so to speak, where ideas get stale fast. That’s dangerous in a world of disruption and change. View Details
Keywords: Silos; Community; Innovation and Invention; Leadership; Change; Perspective; Learning; Attitudes
Kanter, Rosabeth Moss. "Companies Think They Want New Ideas. But They Don’t Act Like It." Wall Street Journal (online) (November 1, 2019).
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
- Article
Conveniently Upset: Avoiding Altruism by Distorting Beliefs About Others' Altruism
By: Rafael Di Tella, Ricardo Perez-Truglia, Andres Babino and Mariano Sigman
We present results from a “corruption game” (a dictator game modified so that recipients can take a side payment in exchange for accepting a reduction in the overall size of the pie). Dictators (silently) treated to be able to take more of the recipient’s tokens, took... View Details
Keywords: Convenient Beliefs; Cognitive Dissonance; Values and Beliefs; Behavior; Cognition and Thinking
Di Tella, Rafael, Ricardo Perez-Truglia, Andres Babino, and Mariano Sigman. "Conveniently Upset: Avoiding Altruism by Distorting Beliefs About Others' Altruism." American Economic Review 105, no. 11 (November 2015): 3416–3442.
- 05 Jul 2006
- Working Paper Summaries
Implementing New Practices: An Empirical Study of Organizational Learning in Hospital Intensive Care Units
- March 1993
- Background Note
Stages Theory, The: A Framework for IT Adoption and Organizational Learning
By: Richard L. Nolan, David Croson and Katherine Seger
Describes Professor Richard Nolan's Stages Theory of Information Technology adoption by organizations. View Details
Keywords: Information; Body of Literature; Information Management; Information Publishing; Adoption; Organizational Structure; Organizational Design; Decision Making; Information Technology Industry
Nolan, Richard L., David Croson, and Katherine Seger. "Stages Theory, The: A Framework for IT Adoption and Organizational Learning." Harvard Business School Background Note 193-141, March 1993.
- March–April 2015
- Article
Why We Think We Can't Dance: Theory of Mind and Children's Desire to Perform
By: Lan Nguyen Chaplin and Michael I. Norton
Theory of Mind (ToM) allows children to achieve success in the social world by understanding others' minds. A study with 3–12 year olds, however, demonstrates that gains in ToM are linked to decreases in children's desire to engage in performative behaviors associated... View Details
Chaplin, Lan Nguyen, and Michael I. Norton. "Why We Think We Can't Dance: Theory of Mind and Children's Desire to Perform." Child Development 86, no. 2 (March–April 2015): 651–658.
- February 2012
- Article
CEO Relational Leadership and Strategic Decision Quality in Top Management Teams: The Role of Team Trust and Learning from Failure
By: Abraham Carmeli, Asher Tishler and Amy C. Edmondson
In this study, we examine a complex pathway through which CEOs, who exhibit relational leadership, may improve the quality of strategic decisions of their top management teams (TMTs) by creating psychological conditions of trust and facilitating learning from failures... View Details
Keywords: Leadership Development; Decisions; Management Teams; Trust; Learning; Management Analysis, Tools, and Techniques; Managerial Roles; Failure
Carmeli, Abraham, Asher Tishler, and Amy C. Edmondson. "CEO Relational Leadership and Strategic Decision Quality in Top Management Teams: The Role of Team Trust and Learning from Failure." Strategic Organization 10, no. 1 (February 2012).
- 03 Oct 2013
- Research & Ideas
Lehman Brothers Plus Five: Have We Learned from Our Mistakes?
considerable amount of high-quality research has been done regarding financial stability. Some of these steps were prompted by regulatory changes—or anticipation of such changes. But perhaps the biggest force in stabilizing the financial... View Details
- Article
Health Equity, Schooling Hesitancy, and the Social Determinants of Learning
By: Meira Levinson, Alan C. Geller, Joseph G. Allen and John D. Macomber
At least 62 million K-12 students in North America—disproportionately low-income children of color— have been physically out of school for over a year due to the COVID-19 pandemic. These children are at risk of significant academic, social, mental, and physical harm... View Details
Keywords: COVID-19; Public Health; Air Quality; Social Determinants Of Health; Schooling Hesitancy; Vaccine Hesitancy; Racial Injustice; Inequity; Inequality; Health Pandemics; Education; Health Care and Treatment; Policy; Race; Equality and Inequality
Levinson, Meira, Alan C. Geller, Joseph G. Allen, and John D. Macomber. "Health Equity, Schooling Hesitancy, and the Social Determinants of Learning." Art. 100032. Lancet Regional Health – Americas 2 (October 2021).
- January 2013
- Article
The Fog of Negotiation: What Negotiators Can Learn from Military Doctrine
On the surface, warfare and negotiation may seem to be polar opposites. The objective in war is to defeat the enemy. In negotiation, the goal is to find a solution that satisfies all the parties. Not surprisingly, little cross-learning and exchange has occurred across... View Details
Wheeler, Michael A. "The Fog of Negotiation: What Negotiators Can Learn from Military Doctrine." Negotiation Journal 29, no. 1 (January 2013): 23–38.
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- June, 2021
- Article
Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19
By: Edward L. Glaeser, Ginger Zhe Jin, Benjamin T. Leyden and Michael Luca
During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant... View Details
Keywords: COVID-19; Lockdown; Reopening; Impact; Coronavirus; Public Health Measures; Mobility; Health Pandemics; Governing Rules, Regulations, and Reforms; Consumer Behavior
Glaeser, Edward L., Ginger Zhe Jin, Benjamin T. Leyden, and Michael Luca. "Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19." Journal of Regional Science 61, no. 4 (June, 2021): 696–709.
- February 2024
- Teaching Note
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details
- 2024
- Working Paper
Sharing Models to Interpret Data
By: Joshua Schwartzstein and Adi Sunderam
To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
Schwartzstein, Joshua, and Adi Sunderam. "Sharing Models to Interpret Data." Harvard Business School Working Paper, No. 25-011, August 2024. (Revised August 2024.)