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Show Results For
- All HBS Web
(3,064)
- People (14)
- News (651)
- Research (1,581)
- Events (19)
- Multimedia (9)
- Faculty Publications (861)
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- 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
Eisenmann, Thomas R., and Ann Leamon. "AME Learning Inc." Harvard Business School Case 810-065, November 2009. (Revised October 2010.)
- Article
Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy
By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details
Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics
Glaeser, Edward, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 114–118.
- 17 Jan 2007
- Op-Ed
Learning from Private-Equity Boards
quarterly earnings reports, reflecting the complexity of corporate restructurings and other long-term growth strategies. Lessons To Be Learned There are important implications of these differences for public company boards, even though... 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.
- October 2004 (Revised November 2004)
- Case
Mavens & Moguls: Creating a New Business Model
By: Myra M. Hart, Victoria Winston and Kristin Lieb
Mavens & Moguls is a "virtual" marketing-consulting firm of approximately 40 professionals. Examines the processes by which its founder, Paige Arnof-Fenn, learns the business, builds a power network of industry experts and potential customers, and uses this expertise... View Details
Keywords: Internet and the Web; Values and Beliefs; Work-Life Balance; Organizational Structure; Organizational Culture; Operations; Networks; Business Model; Growth Management; Business Growth and Maturation; Entrepreneurship; Growth and Development Strategy; Consulting Industry
Hart, Myra M., Victoria Winston, and Kristin Lieb. "Mavens & Moguls: Creating a New Business Model." Harvard Business School Case 805-050, October 2004. (Revised November 2004.)
- 2020
- Book
Work, Mate, Marry, Love: How Machines Shape Our Human Destiny
By: Debora L. Spar
Covering a time frame that ranges from 8000 BC to the present, and drawing upon both Marxist and feminist theories, the book argues that nearly all the decisions we make in our most intimate lives—whom to marry, how to have children, how to have sex, how to think about... View Details
Keywords: Innovation; Family; Women; Reproduction; Artificial Intelligence; Robots; Gender; Demography; History; Innovation and Invention; Relationships; Society; Information Technology; AI and Machine Learning; Biotechnology Industry; Computer Industry; Health Industry; Information Technology Industry; Manufacturing Industry; Technology Industry; Africa; Asia; Europe; Latin America; North and Central America
Spar, Debora L. Work, Mate, Marry, Love: How Machines Shape Our Human Destiny. New York: Farrar, Straus and Giroux, 2020.
- July 2022
- Article
A Strategic View of Team Learning in Organizations
By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
Research in strategic management and organizational behavior has increasingly focused on understanding how organizations achieve and sustain performance in fast-changing environments. Strategy research suggests that senior managers, through their decisions, influence... View Details
Keywords: Strategic Management; Organization Behavior; Teams; Organizational Capabilities; Groups and Teams; Learning; Management; Decision Making; Performance; Organizational Design
Harvey, Jean-François, Henrik Bresman, Amy C. Edmondson, and Gary P. Pisano. "A Strategic View of Team Learning in Organizations." Academy of Management Annals 16, no. 2 (July 2022): 476–507.
- January 2008
- Article
Learning the Fine Art of Collaboration
By: Alan MacCormack and Theodore Forbath
Innovations are increasingly brought to the market by networks of firms, selected for their unique capabilities and operating in a coordinated manner. This collaborative model demands that firms develop different skills, yet despite this need, there is little guidance... View Details
Keywords: Digital Platforms
MacCormack, Alan, and Theodore Forbath. "Learning the Fine Art of Collaboration." Forethought. Special Issue on HBS Centennial. Harvard Business Review 86, no. 1 (January 2008): 10–11.
- October 20, 2020
- Article
Expanding AI's Impact with Organizational Learning
By: Sam Ransbotham, Shervin Khodabandeh, David Kiron, François Candelon, Michael Chu and Burt LaFountain
Most companies developing AI capabilities have yet to gain significant financial benefits from their efforts. Only when organizations add the ability to learn with AI do significant benefits become likely. View Details
Ransbotham, Sam, Shervin Khodabandeh, David Kiron, François Candelon, Michael Chu, and Burt LaFountain. "Expanding AI's Impact with Organizational Learning." MIT Sloan Management Review, Big Ideas Artificial Intelligence and Business Strategy Initiative (website) (October 20, 2020). (Findings from the 2020 Artificial Intelligence
Global Executive Study and Research Project.)
- Forthcoming
- Article
Personalization and Targeting: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; Customer Focus and Relationships; Research
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Personalization and Targeting: How to Experiment, Learn & Optimize." International Journal of Research in Marketing (forthcoming). (Pre-published online July 25, 2025.)
- April 2017
- Case
Yushan Bicycles: Learning to Ride Abroad
By: Christopher A. Bartlett and Paul S. Myers
Yushan Bicycles, one of Taiwan's leading bicycle manufacturers, is pursuing an international expansion strategy by increasing demand for its range of traditional and electric bicycles and shifting its product mix toward higher-margin models sold through specialty... View Details
Keywords: Globalized Firms and Management; Growth and Development Strategy; Competitive Strategy; Conflict Management; Learning; Bicycle Industry; Taiwan; Australia
Bartlett, Christopher A., and Paul S. Myers. "Yushan Bicycles: Learning to Ride Abroad." Harvard Business School Brief Case 917-539, April 2017.
- April 2010
- Case
School of One: Reimagining How Students Learn
By: Stacey M. Childress, James Weber and Matthew Adams Haldeman
School of One was a start-up with a new approach to learning. Instead of one teacher delivering the entire math curriculum to a class of 20-25 students, School of One utilized a technology platform that allowed several teachers to collectively oversee the learning of a... View Details
Childress, Stacey M., James Weber, and Matthew Adams Haldeman. "School of One: Reimagining How Students Learn." Harvard Business School Case 310-053, April 2010.
- 2024
- Working Paper
Learning to Cover: Online Learning and Optimization with Irreversible Decisions
By: Alexander Jacquillat and Michael Lingzhi Li
Keywords: Buildings and Facilities; AI and Machine Learning; Geographic Location; Strategic Planning
Jacquillat, Alexander, and Michael Lingzhi Li. "Learning to Cover: Online Learning and Optimization with Irreversible Decisions." Working Paper, June 2024.
- December 2011
- Article
EXEMPLARY CONTRIBUTION: Transforming Mental Models on Emerging Markets
By: Charles Dhanaraj and Tarun Khanna
Economic growth in the Western world increasingly depends on meaningful engagement with emerging markets such as Brazil, China, India, South Africa, and Turkey. Business schools are responding with increased attention to these markets in their research and curricula.... View Details
Keywords: Emerging Markets; Business Model; Economic Growth; Developing Countries and Economies; Research; Business Education; Learning; Financial Institutions; Framework; Transformation; Perspective; India; China; Brazil; South Africa; Turkey
Dhanaraj, Charles, and Tarun Khanna. "EXEMPLARY CONTRIBUTION: Transforming Mental Models on Emerging Markets." Academy of Management Learning & Education 10, no. 4 (December 2011).
- Article
Algorithms Need Managers, Too
By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan
Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on... View Details
Keywords: Machine Learning; Algorithms; Predictive Analytics; Management; Big Data; Analytics and Data Science
Luca, Michael, Jon Kleinberg, and Sendhil Mullainathan. "Algorithms Need Managers, Too." Harvard Business Review 94, nos. 1/2 (January–February 2016): 96–101.
- 24 Jan 2005
- Research & Ideas
Entrepreneurial Hospital Pioneers New Model
roll out a similar model beyond India—maybe even into Europe and the U.S. What's the secret? According to HBS professor Tarun Khanna, the success of the hospital, called Narayana Hrudayalaya, is due to the vision and tireless work of a... View Details
- 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.
- July 2019
- Teaching Note
Miroglio Fashion
By: Sunil Gupta
Teaching Note for HBS Nos. 519-053, 519-070, and 519-072. View Details
- 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.
- 27 Aug 2014
- Lessons from the Classroom
Learning From Japan’s Remarkable Disaster Recovery
leadership in mobilizing people and resources in highly dynamic situations.” Each winter, 900 HBS students dispatch around the world to see businesses up close, learn what they can about how they are run, and share their own knowledge... View Details