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Show Results For
- All HBS Web
(10,677)
- People (74)
- News (2,860)
- Research (3,833)
- Events (45)
- Multimedia (240)
- Faculty Publications (2,374)
- 26 Feb 2013
- News
Lessons I learned from Japan
- 02 Jun 2021
- News
What Corporate Boards Can Learn from Boeing’s Mistakes
- 05 Jun 2014
- Blog Post
Learning to fail at HBS
hit home the importance of failing fast and failing often versus failing over a long period of time. I’ve learned a lot about myself. I’ve View Details
- 03 Aug 2016
- News
How Self-Managed Companies Help People Learn on the Job
- 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.
- September 1992
- Case
Star Cablevision Group (F): Lessons Learned
Last case in a series of six cases. This case describes the company as it reflects back to lessons learned. View Details
Keywords: Learning
Sahlman, William A. "Star Cablevision Group (F): Lessons Learned." Harvard Business School Case 293-041, September 1992.
- 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.
- 28 Mar 2017
- Video
Learning from Classmates at HBS
- May 2022 (Revised July 2022)
- Supplement
AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services." Harvard Business School Supplement 622-087, May 2022. (Revised July 2022.)
- May 2022
- Supplement
AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services." Harvard Business School Supplement 622-086, May 2022.
- 2020
- Working Paper
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Decision-making; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Harvard Business School Working Paper, No. 21-073, October 2020. (Revised September 2021.)
- 25 Apr 2005
- Research & Ideas
New Learning at American Home Products
1931 of John Wyeth & Brothers. In prescription drugs, the company's initial learning base emerged with the purchase in 1931 of John Wyeth & Brothers, a respected... View Details
- 01 Jun 2015
- News
Learning from Global Immersion Experiences
“There was a difference between how we experienced these disruptions and the attitude of our Turkish business partners,” says Mayo. “To them, unexpected adversity is often just business as usual.” The value View Details
- 21 Jan 2011
- Working Paper Summaries
Learning from Customers in Outsourcing: Individual and Organizational Effects
- 23 Mar 2022
- Blog Post
Learning Curve: The Brother-and-Sister Team Behind a New Edtech Nonprofit
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
- Jul 18 2018
- Testimonial
Learning What It Takes to Succeed
- 12 Jan 2017
- News
What Cancer Researchers Can Learn from Direct-to-Consumer Companies
- 24 Mar 2016
- Blog Post
Learning to Code at Business School
consultant at Boston Consulting Group. Why did you want to take CS50? Samuel: I wanted to learn the language of computer science, so I actually knew what software engineers were talking about. Sloan: I... View Details
- September 1999
- Background Note
Learning from Projects: Note on Conducting a Postmortem Analysis
By: Stefan H. Thomke and Steven Sinofsky
Describes how firms can learn from projects through postmortem analysis. Focuses on the step-by-step process of preparing and running a postmortem meeting as it is done at Microsoft and other software developers. View Details
Keywords: Conferences; Management Analysis, Tools, and Techniques; Projects; Software; Information Technology Industry
Thomke, Stefan H., and Steven Sinofsky. "Learning from Projects: Note on Conducting a Postmortem Analysis." Harvard Business School Background Note 600-021, September 1999.
- 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).