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Show Results For
- All HBS Web
(10,856)
- People (64)
- News (3,420)
- Research (3,982)
- Events (30)
- Multimedia (61)
- Faculty Publications (1,445)
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Interpretability and Explainability in Machine Learning
As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details
- April 2011
- Case
Kay Sunderland: Making the Grade at Attain Learning
By: Linda A. Hill and Heather Beckham
Kay Sunderland is an account director at Attain Learning Inc., a business training solutions company. In January 2011, one of Attain's most important clients, Juan Nunez of Gramen Equipment Company, contacts Sunderland with a request: Nunez would like Attain content... View Details
Keywords: Communication; Interpersonal Relations; Personal Strategy & Style; Creativity; Conflict; Interdepartmental Relations; Talent Management; Management Style; Interpersonal Communication; Talent and Talent Management; Relationships; Conflict and Resolution; Communication Strategy; Power and Influence; Service Industry
Hill, Linda A., and Heather Beckham. "Kay Sunderland: Making the Grade at Attain Learning." Harvard Business School Brief Case 114-289, April 2011.
- 10 Apr 2008
- Working Paper Summaries
Where Does it Go? Spending by the Financially Constrained
- 27 Dec 2018
- Working Paper Summaries
Team Learning Capabilities: A Meso Model of Sustained Innovation and Superior Firm Performance
- April 2024
- Supplement
RHI Magnesita (B): Brick by Brick—Diversification?
By: Ramon Casadesus-Masanell, David M Wagner, Oliver Gassmann and Jordan Mitchell
In Part A, as of April 2017, Austria’s RHI, a backward integrated refractory company is still within the midst of merging with the next biggest competitor, Brazil’s Magnesita, while weighing options for future growth. Should the company pursue organic growth options... View Details
Casadesus-Masanell, Ramon, David M Wagner, Oliver Gassmann, and Jordan Mitchell. "RHI Magnesita (B): Brick by Brick—Diversification?" Harvard Business School Supplement 724-438, April 2024.
- April 2011
- Article
What Can We Learn from 'Great Negotiations'?
What can one legitimately learn-analytically and/or prescriptively-from detailed historical case studies of "great negotiations," chosen more for their salience than their analytic characteristics or comparability? Taking a number of such cases compiled by Stanton... View Details
Keywords: Learning; International Relations; History; Agreements and Arrangements; Negotiation Process; Conflict and Resolution
Sebenius, James K. "What Can We Learn from 'Great Negotiations'?" Negotiation Journal 27, no. 2 (April 2011).
- 13 Dec 2007
- Working Paper Summaries
Acting Globally but Thinking Locally? The Influence of Local Communities on Organizations
Keywords: by Christopher Marquis & Julie Battilana
- 2007
- Working Paper
What Have We Learned From Market Design?
By: Alvin E. Roth
This essay discusses some things we have learned about markets, in the process of designing marketplaces to fix market failures. To work well, marketplaces have to provide thickness, i.e. they need to attract a large enough proportion of the potential participants in... View Details
Roth, Alvin E. "What Have We Learned From Market Design?" NBER Working Paper Series, No. 13530, October 2007.
- 08 May 2020
- In Practice
Nonprofits Hurt by COVID-19 Must Hoard Cash to Hold On
Trelstad: Hold virtual fundraising events and engage loyal donors Organizations need to think quickly and practically about cash flows and revise their scenarios for getting through the crisis and then a less optimistic 2021 scenario.... View Details
Keywords: by Danielle Kost
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
- 2012
- Working Paper
Prominent Job Advertisements, Group Learning and Wage Dispersion
By: Julio J. Rotemberg
A model is presented in which people base their labor search strategy on the average wage and the average unemployment duration of people who belong to their peer group. It is shown that, if the distribution of wage offers is not stationary so lower wage offers tend to... View Details
Rotemberg, Julio J. "Prominent Job Advertisements, Group Learning and Wage Dispersion." NBER Working Paper Series, No. 18638, December 2012.
- March 2008
- Article
What Have We Learned from Market Design?
By: Alvin E. Roth
This essay discusses some things we have learned about markets, in the process of designing marketplaces to fix market failures. To work well, marketplaces have to provide thickness, i.e. they need to attract a large enough proportion of the potential participants in... View Details
Keywords: Risk Management; Market Design; Market Participation; Market Transactions; Failure; Safety
Roth, Alvin E. "What Have We Learned from Market Design?" Economic Journal 118, no. 527 (March 2008): 285–310. (Hahn Lecture.)
- May 18, 2020
- Other Article
Media Bias? But Not What You Think It Is
By: Frank V. Cespedes
The media are often accused of political bias. But news outlets reflect many political beliefs in a fragmented media environment. However, an almost across-the-board bias is how news media talk about digital business, and the pandemic has exacerbated that bias, which... View Details
Cespedes, Frank V. "Media Bias? But Not What You Think It Is." Medium (May 18, 2020).
- 14 Apr 2022
- Op-Ed
Let’s Move Forward from COVID—Without Forgetting What We’ve Learned
decline, and even the spike created by the delta and omicron variants could not stop corporations from recalling workers to the office. Many companies want to go back to the way things were, but that would be a mistake. “Organizational... View Details
Keywords: by Hise O. Gibson and MaShon Wilson
- 04 Oct 2017
- Book
Five Leaders Forged in Crisis, and What We Can Learn From Them
Keywords: by Dina Gerdeman
- 24 Apr 2018
- Op-Ed
Op-Ed: What Mark Zuckerberg Can Learn About Crisis Leadership from Starbucks
Facebook’s current data privacy crisis, could learn a lot from Johnson. Let’s examine how Johnson and Zuckerberg measured up against what I have identified as 7 Lessons for Leading in Crisis. #1: Face reality, starting with yourself.... View Details
- November 2023
- Case
Open Source Machine Learning at Google
Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts... View Details
Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States
Greenstein, Shane, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue, and James Barnett. "Open Source Machine Learning at Google." Harvard Business School Case 624-015, November 2023.
- June 1996 (Revised January 2000)
- Case
McKinsey & Co.: Managing Knowledge and Learning
Describes the development of McKinsey & Co. as a worldwide management consulting firm from 1926 to 1996. In particular, it focuses on the way in which McKinsey has developed structures, systems, processes, and practices to help it develop, transfer, and disseminate... View Details
Keywords: Management; Managerial Roles; Management Practices and Processes; Competitive Advantage; Global Range; Knowledge Dissemination; Business Processes; Consulting Industry
Bartlett, Christopher A. "McKinsey & Co.: Managing Knowledge and Learning." Harvard Business School Case 396-357, June 1996. (Revised January 2000.)
- 19 Jun 2017
- Working Paper Summaries
Learning to Manage: A Field Experiment in the Indian Startup Ecosystem
- 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.