Publications
Publications
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- All HBS Web
(1,259)
- Faculty Publications (61)
- September 2018 (Revised December 2019)
- Case
Zebra Medical Vision
By: Shane Greenstein and Sarah Gulick
An Israeli startup founded in 2014, Zebra Medical Vision developed algorithms that produced diagnoses from X-rays, mammograms, and CT-scans. The algorithms used deep learning and digitized radiology scans to create software that could assist doctors in making... View Details
Keywords: Radiology; Machine Learning; X-ray; CT Scan; Medical Technology; Probability; FDA 510(k); Diagnosis; Business Startups; Health Care and Treatment; Information Technology; Applications and Software; Competitive Strategy; Product Development; Commercialization; Decision Choices and Conditions; Health Industry; Medical Devices and Supplies Industry; Technology Industry; Israel
- August 2017 (Revised July 2019)
- Case
GROW: Using Artificial Intelligence to Screen Human Intelligence
By: Ethan Bernstein, Paul McKinnon and Paul Yarabe
Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro... View Details
Keywords: Big Data; Artificial Intelligence; Talent and Talent Management; Recruitment; Selection and Staffing; Human Resources; Information Technology; AI and Machine Learning; Analytics and Data Science; Financial Services Industry; Air Transportation Industry; Advertising Industry; Manufacturing Industry; Technology Industry; Japan
- 2017
- Mimeo
Science for Society: Science and Technology Based Social Entrepreneurship
By: Tarun Khanna, Shashank Shah and Kundan Madireddy
This publication is an outcome of the team's research, engagement and interactions with over 25 science and technology-based social enterprises in India. It provides details on the research process, insightful outcomes and innovative impact.
Throughout the... View Details
Throughout the... View Details
- February 2015 (Revised September 2016)
- Teaching Note
Making stickK Stick: The Business of Behavioral Economics
By: Leslie K. John and Michael Norton
Email mking@hbs.edu for a courtesy copy.
This Teaching Note explains the theory of the case and teaching plan for the case: Making sticK Stick: The Business of Behavioral Economics (514019). The case focuses on a... View Details
This Teaching Note explains the theory of the case and teaching plan for the case: Making sticK Stick: The Business of Behavioral Economics (514019). The case focuses on a... View Details
Keywords: Behavioral Economics; Behavior Change; B2B Vs. B2C; Human Resource Management; Marketing Of Innovations; Health ＆ Wellness; Weight Loss; Charitable Giving; Marketing; Consumer Behavior; Entrepreneurship; Internet and the Web; Health; Business Model; Sales; Human Resources; Health Industry; United States
- 12 Dec 2014
- Conference Presentation
Aspect Specific Sentiment Analysis Using Hierarchical Deep Learning
By: Himabindu Lakkaraju, Richard Socher and Chris Manning
- 2014
- Book
Managerial Accounting: Making Decisions and Motivating Performance
By: Srikant M. Datar and Madhav Rajan
Managerial Accounting: Making Decisions and Motivating Performance enables future managers and business owners to attain the core skills they need to become integral members of their company’s decision-making teams. This new program from established authors... View Details
- 2012
- Article
Specialization and Variety in Repetitive Tasks: Evidence from a Japanese Bank
By: B. Staats and F. Gino
Sustaining operational productivity in the completion of repetitive tasks is critical to many organizations' success. Yet research points to two different work-design-related strategies for accomplishing this goal: specialization to capture the benefits of repetition... View Details
- 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
- April 2011
- Article
Why Leaders Don't Learn from Success
By: Francesca Gino and Gary P. Pisano
We argue that for a variety of psychological reasons, it is often much harder for leaders and organizations to learn from success than to learn from failure. Success creates three kinds of traps that often impede deep learning. The first is attribution error or the... View Details
- February 2009 (Revised April 2011)
- Case
Mistry Architects (A)
By: Amy C. Edmondson, Robert G. Eccles and Mona Sinha
Describes an architecture firm founded and run by a husband and wife team, Sharukh and Renu Mistry, that emphasizes "green" building. The firm presents an unusual mix of projects-spanning the spectrum from larger corporate projects to small private homes. The mix also... View Details
- March 2008
- Article
Is Yours a Learning Organization?
By: David A. Garvin, Amy C. Edmondson and Francesca Gino
This article includes a one-page preview that quickly summarizes the key ideas and provides an overview of how the concepts work in practice along with suggestions for further reading. An organization with a strong learning culture faces the unpredictable deftly.... View Details
- 2008
- Simulation
Everest Leadership and Team Simulation
By: Michael A. Roberto and Amy C. Edmondson
This item is currently not available for purchase on this site. To order, please contact Customer Service - (800) 545-7685 or (617) 783-7600. **REVISED AUGUST 2009!** This web-based simulation uses the dramatic context of a Mount Everest expedition to reinforce student... View Details
- September 2006
- Article
Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
- September 2006
- Article
The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
In an experiment, players ability to learn to cooperate in the repeated prisoners dilemma was substantially diminished when the payoffs were noisy, even though players could monitor one anothers past actions perfectly. In contrast, in one-time play against a succession... View Details
- 2006
- Conference Paper
Modeling Repeated Play of the Prisoners' Dilemma with Reinforcement Learning over an Enriched Strategy Set
By: A. E. Roth and Ido Erev
- May 1999
- Article
The Effect of Adding a Constant to All Payoffs: Experimental Investigation, and a Reinforcement Learning Model with Self-Adjusting Speed of Learning
By: Ido Erev, Yoella Bereby-Meyer and Alvin E. Roth
- 1999
- Chapter
On the Role of Reinforcement Learning in Experimental Games: The Cognitive Game Theory Approach
By: Ido Erev and A. E. Roth
- September 1998
- Article
Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
By: Ido Erev and A. E. Roth
- Research Summary
Innovating in Energy: Learning from High-Potential Ventures
My work at HBS has always focused on high-potential ventures. Most recently, these have been professionally financed start-ups and buyouts in newly emerging energy and cleantech businesses. These ventures tend to be based on innovative insights into technology and... View Details
- Teaching Interest
Interpretability and Explainability in Machine Learning
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