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Show Results For
- All HBS Web
(11,197)
- People (74)
- News (2,817)
- Research (3,693)
- Events (36)
- Multimedia (229)
- Faculty Publications (2,254)
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- 17 Aug 2020
- Working Paper Summaries
Of Learning and Forgetting: Centrism, Populism, and the Legitimacy Crisis of Globalization
Keywords: by Rawi Abdelal
- March 2005
- Article
Accountability Myopia: Losing Sight of Organizational Learning
By: Alnoor Ebrahim
Ebrahim, Alnoor. "Accountability Myopia: Losing Sight of Organizational Learning." Nonprofit and Voluntary Sector Quarterly 34, no. 1 (March 2005).
- 2011
- Working Paper
The Importance of Work Context in Organizational Learning from Error
By: Lucy H. MacPhail and Amy C. Edmondson
This paper examines the implications of work context for learning from errors in organizations. Prior research has shown that attitudes and behaviors related to error vary between groups within organizations but has not investigated or theorized the ways in which... View Details
- 2022
- Article
Becoming a Learning Organization While Enhancing Performance: The Case of LEGO
By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with
leaders as learning facilitators in an action learning approach, can be transferred from a production context to a
knowledge work context for the purpose... View Details
Kristensen, Thomas Borup, Henrik Saabye, and Amy Edmondson. "Becoming a Learning Organization While Enhancing Performance: The Case of LEGO." International Journal of Operations & Production Management 42, no. 13 (2022): 438–481.
- Research Summary
Adoption of Machine Learning Models in Real World Decision Making
The goal of this research is to assess the impact of deploying machine learning models in real world decision making in domains such as health care. View Details
- August 2020
- Article
Macroeconomic Drivers of Bond and Equity Risks
By: John Y. Campbell, Carolin E. Pflueger and Luis M. Viceira
Our new model of consumption-based habit generates time-varying risk premia on bonds and stocks from loglinear, homoskedastic macroeconomic dynamics. Consumers' first-order condition for the real risk-free bond generates an exactly loglinear consumption Euler equation,... View Details
Keywords: Consumption-based Habit Formation; Consumption Euler Equation; Time-varying Risk Premia; Inflation Dynamics; Bond-stock Correlation; Risk and Uncertainty; Bonds; Macroeconomics
Campbell, John Y., Carolin E. Pflueger, and Luis M. Viceira. "Macroeconomic Drivers of Bond and Equity Risks." Journal of Political Economy 128, no. 8 (August 2020): 3148–3185.
- November 2023 (Revised April 2024)
- Case
Khanmigo: Revolutionizing Learning with GenAI
By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details
Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco
Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)
- April 2011
- Article
Strategies for Learning from Failure
By: Amy C. Edmondson
Many executives believe that all failure is bad (although it usually provides lessons)--and that learning from it is pretty straightforward. The author, a professor at Harvard Business School, thinks both beliefs are misguided. In organizational life, she says, some... View Details
Keywords: Learning; Knowledge Use and Leverage; Leadership; Business Processes; Organizational Culture; Failure; Opportunities
Edmondson, Amy C. "Strategies for Learning from Failure." Harvard Business Review 89, no. 4 (April 2011).
- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
- Article
How Real Sales Learning Happens: In the Flow of Work
By: Yuchun Lee, Mark Magnacca and Frank V. Cespedes
Most learning in sales is through peer learning in task-specific contexts, and the effects are cumulative because modeling behavior is a big driver of how salespeople develop. This is very different from the experience in most training seminars, especially if the... View Details
Lee, Yuchun, Mark Magnacca, and Frank V. Cespedes. "How Real Sales Learning Happens: In the Flow of Work." Learning Solutions (February 15, 2021).
- 2022
- Chapter
Of Learning and Forgetting: Centrism, Populism, and the Legitimacy Crisis of Globalization
By: Rawi Abdelal
Every order is a bargain with disappointments and trade-offs. Thus is every order an unstable equilibrium. The first era of globalization, circa 1870–1914, created both international prosperity and domestic instability. That instability was fully realized during the... View Details
Keywords: Globalization; Policy; Economic Systems; Balance and Stability; Europe; European Union; United States
Abdelal, Rawi. "Of Learning and Forgetting: Centrism, Populism, and the Legitimacy Crisis of Globalization." In The Downfall of the American Order? edited by Peter J. Katzenstein and Jonathan Kirshner, 105–123. Ithaca, NY: Cornell University Press, 2022.
- June 2021
- Case
Acelero Learning
By: Mario Small, Kathleen L. McGinn, Amy Klopfenstein and Katherine Chen
In November 2020, Henry Wilde, co-founder and CEO of Acelero, Inc., must decide whether to change his company’s program model for delivering early childhood education to low-income children. One of the only for-profit Head Start providers in the United States, Acelero... View Details
Keywords: Early Childhood Education; Organizational Change and Adaptation; Growth and Development Strategy; Adoption; Customer Focus and Relationships; Operations; Education Industry; North and Central America; United States
Small, Mario, Kathleen L. McGinn, Amy Klopfenstein, and Katherine Chen. "Acelero Learning." Harvard Business School Case 921-029, June 2021.
- 1996
- Chapter
When to Learn How and When to Learn Why: Appropriate Organizational Learning Processes as a Source of Competitive Advantage
By: A. Edmondson and B. Moingeon
Keywords: Learning; Competitive Advantage; Organizational Change and Adaptation; Organizational Design
Edmondson, A., and B. Moingeon. "When to Learn How and When to Learn Why: Appropriate Organizational Learning Processes as a Source of Competitive Advantage." In Organizational Learning and Competitive Advantage, by B. Moingeon and A. Edmondson. London: Sage Publications, 1996.
- Research Summary
Selective Attention and Learning
What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details
- June 2019
- Article
Consequences of Debt Forgiveness: Strategic Default Contagion and Lender Learning
By: Gerardo Pérez Cavazos
I use a unique data set of loans to small business owners to examine whether lenders face adverse consequences when they grant debt forgiveness to borrowers. I provide evidence consistent with borrowers communicating their debt forgiveness to other borrowers, who then... View Details
Keywords: Debt Forgiveness; Strategic Default Contagion; Contracting; Borrowing and Debt; Communication; Learning
Pérez Cavazos, Gerardo. "Consequences of Debt Forgiveness: Strategic Default Contagion and Lender Learning." Journal of Accounting Research 57, no. 3 (June 2019): 797–841.
- 2015
- Working Paper
Coactive Vicarious Learning: Towards a Relational Theory of Vicarious Learning in Organizations
By: Christopher G. Myers
Vicarious learning—a process of individual belief and behavior change that occurs through being exposed to, and making meaning of, another's experience—has long been recognized as a key driver of individual, team and organizational success. Yet existing perspectives on... View Details
Myers, Christopher G. "Coactive Vicarious Learning: Towards a Relational Theory of Vicarious Learning in Organizations." Harvard Business School Working Paper, No. 16-020, August 2015.
- 2006
- Article
The Long-Term Value of M&A Activity to Enhance Learning Organizations
Viewing the automobile industry as being made up of independent learning-organisations may reveal some tie-ups that can generate value not easily revealed by traditional financial metrics. The key question to be answered when considering M&A activity between automakers... View Details
Heller, Daniel A., Glenn Mercer, and Takahiro Fujimoto. "The Long-Term Value of M&A Activity to Enhance Learning Organizations." International Journal of Automotive Technology and Management 6, no. 2 (2006): 157 – 176.
- Research Summary
Making Machine Learning Models Fair
The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details