Filter Results
:
(3,880)
Show Results For
-
All HBS Web
(10,596)
- People (64)
- News (3,231)
- Research (3,880)
- Events (24)
- Multimedia (60)
- Faculty Publications (1,353)
Show Results For
-
All HBS Web
(10,596)
- People (64)
- News (3,231)
- Research (3,880)
- Events (24)
- Multimedia (60)
- Faculty Publications (1,353)
Sort by
- 08 Sep 2009
- Research & Ideas
The Height Tax, and Other New Ways to Think about Taxation
reforms seem unlikely, but we are missing a large opportunity by avoiding them. In general, I hesitate to pass judgment on our tax system as a whole. My intuition is that tax theorists have as much or more to View Details
Keywords:
by Martha Lagace
- 22 Mar 2021
- Research & Ideas
How to Learn from the Big Mistake You Almost Make
psychological safety as opposed to near misses that are framed as successes,” she says. The ‘goldmine’ of avoided catastrophes By framing near misses as important learning opportunities, as well as View Details
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach...
View Details
Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
- October 2018
- Case
Learning How to Honnold
By: Eugene F. Soltes, Sara Hess and Dutch Leonard
Alex Honnold is the world’s most accomplished free climber. To many, climbing sheer vertical faces of rock—like the famed El Capitan—without a rope is viewed as not simply risky but reckless. Honnold contrasts this sentiment by presenting his perspective on risk taking...
View Details
Soltes, Eugene F., Sara Hess, and Dutch Leonard. "Learning How to Honnold." Harvard Business School Case 119-043, October 2018.
- 27 May 2008
- Sharpening Your Skills
Sharpening Your Skills: Thinking About Global
Sharpening Your Skills dives into the HBS Working Knowledge archives to bring together articles on ways to improve your business skills. Questions To Be Answered Are global brands effective? How should I think about strategy in a flat...
View Details
- June 10, 2022
- Article
What Top Executives Can Learn from Junior Employees
Having reached the pinnacle of their careers, many top executives think their learning days are over. Their role, as they see it, is to make pronouncements, define strategy and impart to others the benefits of their vast experience—that is, to tell the employees below...
View Details
Kanter, Rosabeth Moss. "What Top Executives Can Learn from Junior Employees." Wall Street Journal (online) (June 10, 2022).
- Article
Active World Model Learning with Progress Curiosity
By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal...
View Details
Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- 31 Oct 2004
- What Do You Think?
Should the Wisdom of Crowds Influence Our Thinking About Leadership?
the nature of leadership affirmed by the "wisdom of crowds" is clearly circumscribed, according to others. Jack Hughes, for example, says, "The Wisdom of Crowds has effectively shattered the narrow view that the right...
View Details
Keywords:
by James Heskett
- 12 Nov 2001
- Research & Ideas
Can Religion and Business Learn From Each Other?
learn from business? I think there's a lot of room for cross-learning here. One of the things I think the religious community can learn from the...
View Details
Keywords:
by Martha Lagace
- 12 Oct 2022
- Research & Ideas
When Design Enables Discrimination: Learning from Anti-Asian Bias on Airbnb
Airbnb hosts of Asian descent had significantly fewer stays early in the COVID-19 pandemic—and the design of the travel site may have inadvertently enabled discrimination that shut Asians out, says new research by Harvard Business...
View Details
- 09 May 2014
- Working Paper Summaries
‘My Bad!’ How Internal Attribution and Ambiguity of Responsibility Affect Learning from Failure
- 03 Dec 2001
- What Do You Think?
What Happens When the Sumo Master Learns Judo?
combatants have unusual means at their disposal, regardless of size. The comments raise several questions: What are the chances that Microsoft can defy traditional market dynamics? What kinds of strategic and organizational decisions would it take? If it were to...
View Details
Keywords:
by James Heskett
- February 2013
- Article
Learning from Roger Fisher
Roger Fisher's career and writings not only offer lessons about negotiation but also about how an academic, especially in a professional school such as law or business, can make an important, positive difference in the world. By his relentless engagement in vexing...
View Details
Sebenius, James K. "Learning from Roger Fisher." Harvard Law Review 126, no. 4 (February 2013): 893–898.
- 13 Jun 2005
- Research & Ideas
From Turf Wars to Learning Curves: How Hospitals Adopt New Technology
influential
, PTCA has been used less frequently than in hospitals with less influential surgeons." And even if PTCA and other innovations make it past initial gatekeepers, it's a long road to adoption because of learning curves...
View Details
- 06 Dec 2017
- Working Paper Summaries
Trials and Terminations: Learning from Competitors' R&D Failures
Keywords:
by Joshua Lev Krieger
- 29 Sep 2008
- Research & Ideas
Financial Crisis Caution Urged by Faculty Panel
Liquidity Dean Jay Light began his introductory remarks by characterizing the crisis and collapse of housing prices as a test that has exposed how fragile the recently evolved U.S. financial system is. "Leverage, transparency, and...
View Details
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended)....
View Details
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- 15 Apr 2024
- Book
Struggling With a Big Management Decision? Start by Asking What Really Matters
cut through all the questions that inevitably run through their heads so they can instinctively choose the right path. The best way to tackle a tough call: Start by defining on a personal level what is right, says Harvard Business School...
View Details
Keywords:
by Dina Gerdeman
- 18 Mar 2018
- Working Paper Summaries
Thanks for Nothing: Expressing Gratitude Invites Exploitation by Competitors
- February 26, 2024
- Article
Making Workplaces Safer Through Machine Learning
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational...
View Details
Keywords:
Government Experimentation;
Auditing;
Inspection;
Evaluation;
Process Improvement;
Government Administration;
AI and Machine Learning;
Safety;
Governing Rules, Regulations, and Reforms
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).