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  • All HBS Web  (11,951)
    • People  (75)
    • News  (2,995)
    • Research  (3,831)
    • Events  (39)
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  • 17 Jun 2019
  • Research & Ideas

What Hospitals Must Learn to Compete

Here, they discuss what it would take to improve the provision of care. Q: Say you’re settling into your seat for a short-haul flight, and your seatmate is a newly installed hospital CEO, determined to... View Details
Keywords: by Alumni Bulletin Staff; Health
  • Article

The Learning Effects of Monitoring

By: Dennis Campbell, Marc Epstein and F. Asis Martinez-Jerez
This paper investigates the relationship between monitoring, decision making, and learning among lower-level employees. We exploit a field-research setting in which business units vary in the "tightness" with which they monitor employee decisions. We find that tighter... View Details
Keywords: Learning; Business or Company Management; Decision Making; Employees; Research; Resignation and Termination; Rights; Business Units; Governance Controls; Performance; Motivation and Incentives
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Campbell, Dennis, Marc Epstein, and F. Asis Martinez-Jerez. "The Learning Effects of Monitoring." Accounting Review 86, no. 6 (November 2011): 1909–1934.
  • 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
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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.)
  • Research Summary

Making Machine Learning Models Fair

By: Himabindu Lakkaraju
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
  • 28 Feb 2011
  • News

Don’t Try To Learn From Failure

  • Jan 31 2023
  • Testimonial

Learning to Create a Bigger Pie

  • Jul 18 2018
  • Testimonial

Learning What It Takes to Succeed

  • November 2009 (Revised October 2010)
  • Case

AME Learning Inc.

By: Thomas R. Eisenmann and Ann Leamon
Justin Joffe is about to graduate from HBS in Spring 2009. He must decide whether to join his father's company, Toronto-based AME Learning, as president working alongside his father who will be CEO. AME has been in business for 12 years, mostly as a small consulting... View Details
Keywords: Business Model; Family Business; Age; Private Equity; Financing and Loans; Growth and Development Strategy; Family and Family Relationships
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Eisenmann, Thomas R., and Ann Leamon. "AME Learning Inc." Harvard Business School Case 810-065, November 2009. (Revised October 2010.)
  • Blog

When Generations Learn Together

Venture Capital, and we had a great experience. We reviewed cases and learned from our assigned teams, but also talked between and after classes to share ideas with each other. I thought the material might... View Details
  • 22 Feb 2022
  • News

Vision: Learning Curve

poverty,” Gupta says. What they lack are the awareness, the information, and the tools required to take a more active role in supporting their children’s early cognitive development—all of which are gaps that Rocket View Details
Keywords: Alexander Gelfand; education; entrepreneurship; startup; India; Educational Services
  • 07 Feb 2023
  • News

Happy? Want to learn how to be?

  • October 2017 (Revised April 2018)
  • Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
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Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
  • 13 Apr 2011
  • News

Learning to love the irrational mind

  • 11 Sep 2009
  • News

Learning To Create Better Collaboration Hubs

  • Research Summary

Making Machine Learning Models Interpretable

By: Himabindu Lakkaraju
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
  • 01 Oct 2018
  • News

Learning About Leadership

years––in addition to my two years at HBS––being a really critical student of company management teams. One of the great things about being an equity analyst is you get to meet with lots of CEOs and lots of... View Details
Keywords: Finance
  • October 2016
  • Article

Learning from Practice

By: Michael A. Wheeler
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Wheeler, Michael A. "Learning from Practice." Negotiation Journal 32, no. 4 (October 2016): 345–355.
  • 01 Mar 2013
  • News

Learning from Lincoln

  • December 2019
  • Article

Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning

By: Guofang Huang, Hong Luo and Jing Xia
Pricing idiosyncratic products is often challenging because the seller, ex ante, lacks information about the demand for individual items. This paper develops a model of dynamic pricing for idiosyncratic products that features the optimal stopping structure and a seller... View Details
Keywords: Dynamic Pricing; Idiosyncratic Products; Item-specific Demand; Demand Uncertainty; Active Seller Learning; The Value Of Information; Price; Information; Value; Learning
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Huang, Guofang, Hong Luo, and Jing Xia. "Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning." Management Science 65, no. 12 (December 2019): 5556–5583.
  • July 2007 (Revised November 2007)
  • Case

Leasing Computers at Persistent Learning

Newly public Persistent Learning is acquiring vital computer assets. They need to determine how the lease or purchase decision will impact their financial statements, and how the market will react given previously forecast earnings and competitor's accounting. View Details
Keywords: Information Infrastructure; Financial Statements; Leasing
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Shanthikumar, Devin M. "Leasing Computers at Persistent Learning." Harvard Business School Case 108-014, July 2007. (Revised November 2007.)
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