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  • All HBS Web  (10,856)
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    • News  (3,420)
    • Research  (3,982)
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Interpretability and Explainability in Machine Learning

By: Himabindu Lakkaraju

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
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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

Keywords: by Shawn A. Cole, John Thompson & Peter Tufano; Financial Services
  • 27 Dec 2018
  • Working Paper Summaries

Team Learning Capabilities: A Meso Model of Sustained Innovation and Superior Firm Performance

Keywords: by Jean-François Harvey, Henrik Bresman, and Amy C. Edmondson
  • 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
Keywords: Mergers and Acquisitions; Growth and Development Strategy; Diversification
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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'?

By: James K. Sebenius
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
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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
Keywords: Market Design; Market Participation; Market Transactions; Risk and Uncertainty; Safety
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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
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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
Keywords: Wages; Job Offer; Job Search; Advertising
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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
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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
Keywords: Bias; Digital Business; Media; Disruption; Health Pandemics
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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
Keywords: by Bill George; Technology; Food & Beverage
  • November 2023
  • Case

Open Source Machine Learning at Google

By: Shane Greenstein, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue and James Barnett
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
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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

By: Christopher A. Bartlett
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
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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

Keywords: by Aaron Chatterji, Solene Delecourt, Sharique Hasan, and Rembrand Koning; Technology
  • 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
Keywords: Performance Efficiency; Learning; Organizational Change and Adaptation
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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.
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