Publications

2005
Working Paper

Team Learning Trade-Offs: When Improving One Critical Dimension of Performance Inhibits Another

By: Richard M.J. Bohmer, Ann B. Winslow, Amy C. Edmondson and Gary P. Pisano

Web

Machine Learning for Social Impact | Social Enterprise | Harvard Business School

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

01 Dec 2013
News

HBX: Expanding Our Reach

In the last few years, the landscape for online learning has changed dramatically. Using new and ever more powerful technologies, the market is shifting rapidly, with many dozens of organizations, aggregators, and educational institutions... View Details

Keywords: online learning; curriculum; News, Library, Internet, and Other Services; Information

March 1992 (Revised May 1992)
Teaching Note

Manufacturing Learning Laboratory at Digital Equipment Corp. (A), (B), and (C), Teaching Note

By: Dorothy Leonard-Barton and Alistair D. Williamson

November 2015
Article

Influence of Experience and the Surgical Learning Curve on Long-term Patient Outcomes in Cardiac Surgery

By: Bryan M. Burt, Andrew W. ElBardissi, Robert S. Huckman, Lawrence H. Cohn, Marisa W. Cevasco, James D. Rawn, Sary F. Aranki and John G. Byrne

OBJECTIVE: We hypothesized that increased post-graduate surgical experience correlates with improved operative efficiency and long-term survival in standard cardiac surgery procedures.

METHODS: Utilizing a prospectively collected retrospective database,... View Details

Keywords: Service Delivery; Value; Health Care and Treatment; Experience and Expertise; Health Industry

January 1995
Article

Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term

By: A. E. Roth and I. Erev

Keywords: Learning; Data and Data Sets

June 2007
Article

Implementing New Practices: An Empirical Study of Organizational Learning in Hospital Intensive Care Units

By: A. L. Tucker, I. Nembhard and A. C. Edmondson

Keywords: Practice; Organizations; Learning; Health; Information; Health Industry

November 2020
Teaching Note

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli

Teaching Note for HBS Case No. 519-010. DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals.... View Details

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Article

The Art of Balancing Autonomy and Control: What Managers Can Learn from Hackathon Organizers about Spurring Innovation.

By: Hila Lifshitz - Assaf, Sarah Lebovitz and Lior Zalmanson

Today, managers recognize that innovation requires a high level of work autonomy for their employees. This encourages curiosity, enables independent thinking, and provides an environment in which employees can experiment and test new problem-solving approaches with... View Details

Keywords: Innovation; Hackathon; Autonomy; Control; Innovation and Invention; Innovation and Management

Web

Learn with Baker Library: Baker Basics for Executive Education Participants | Baker Library

leverage learning technology to deliver engaging, helpful modules on these wide variety of topics. Learn with Baker Library: Baker Basics for Executive Education Participants... View Details

29 Jul 2014
Working Paper Summaries

Learning from the Kursk Submarine Rescue Failure: The Case for Pluralistic Risk Management

Keywords: by Anette Mikes & Amram Migdal

October 3, 2014
Guest Column

Finding the Positives in Your Failures

By: Christopher G. Myers

Keywords: Learning From Failure; Learning

September 2009
Article

A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement

By: Matthew Carty MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow and Dennis Orgill

Background: The increased focus on quality and efficiency improvement within academic surgery has met with variable success among plastic surgeons. Traditional surgical performance metrics, such as morbidity and mortality, are insufficient to improve the... View Details

Keywords: Experience and Expertise; Health Care and Treatment; Medical Specialties; Outcome or Result; Performance Efficiency; Performance Improvement

1994
Book

Best Practices Kakumei: Seikou Kigyou ni Manabe (Best Practices Revolution: Learning from Successful Companies)

By: Hirotaka Takeuchi

Keywords: Learning; Success; Business Ventures

Web

Learn with Baker Library: Corporate Reports & Filings for Researchers | Baker Library

learning technology to deliver engaging, helpful modules on these wide variety of topics. Learn with Baker Library: Corporate Reports & Filings for Researchers focuses on ways... View Details

1999
Chapter

On the Role of Reinforcement Learning in Experimental Games: The Cognitive Game Theory Approach

By: Ido Erev and A. E. Roth

Keywords: Game Theory; Cognition and Thinking; Learning

11 Mar 2014
Working Paper Summaries

Return Migration and Geography of Innovation in MNEs: A Natural Experiment of On-the-Job Learning of Knowledge Production by Local Workers Reporting to Return Migrants

Keywords: by Prithwiraj Choudhury; Technology

February 2019
Case

Miroglio Fashion (A)

By: Sunil Gupta and David Lane

Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details

Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry