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Publications

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  • All HBS Web  (1,277)
    • Faculty Publications  (61)

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    • All HBS Web  (1,277)
      • Faculty Publications  (61)

      Deep Reinforcement LearningRemove Deep Reinforcement Learning →

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      • 2020
      • Working Paper

      Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

      By: Eva Ascarza
      The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
      Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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      Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
      • 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
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      Greenstein, Shane, and Sarah Gulick. "Zebra Medical Vision." Harvard Business School Case 619-014, September 2018. (Revised December 2019.)
      • 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
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      Bernstein, Ethan, Paul McKinnon, and Paul Yarabe. "GROW: Using Artificial Intelligence to Screen Human Intelligence." Harvard Business School Case 418-020, August 2017. (Revised July 2019.)
      • 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
      Keywords: Social Entrepreneurship; Science-Based Business; Information Technology; Business and Community Relations; India
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      Khanna, Tarun, Shashank Shah, and Kundan Madireddy. "Science for Society: Science and Technology Based Social Entrepreneurship." Harvard University South Asia Institute, 2017. Mimeo. (This publication is an outcome of a grant from the Tata Trusts.)
      • 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
      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
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      John, Leslie K., and Michael Norton. "Making stickK Stick: The Business of Behavioral Economics." Harvard Business School Teaching Note 515-088, February 2015. (Revised September 2016.) (Email mking@hbs.edu for a courtesy copy.)
      • 12 Dec 2014
      • Conference Presentation

      Aspect Specific Sentiment Analysis Using Hierarchical Deep Learning

      By: Himabindu Lakkaraju, Richard Socher and Chris Manning
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      Lakkaraju, Himabindu, Richard Socher, and Chris Manning. "Aspect Specific Sentiment Analysis Using Hierarchical Deep Learning." Paper presented at the 28th Annual Conference on Neural Information Processing Systems (NIPS), Workshop on Deep Learning and Representation Learning, Montreal, Canada, December 12, 2014.
      • 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
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      Datar, Srikant M., and Madhav Rajan. Managerial Accounting: Making Decisions and Motivating Performance. Prentice Hall, 2014.
      • April 2011
      • Article

      What Can We Learn from 'Great Negotiations'?

      By: James K. Sebenius
      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
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      Sebenius, James K. "What Can We Learn from 'Great Negotiations'?" Negotiation Journal 27, no. 2 (April 2011).
      • 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
      Keywords: Learning; Innovation and Management; Leadership; Failure; Success; Performance Evaluation; Prejudice and Bias
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      Gino, Francesca, and Gary P. Pisano. "Why Leaders Don't Learn from Success." Harvard Business Review 89, no. 4 (April 2011): 68–74.
      • 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
      Keywords: Family Business; Customer Focus and Relationships; Design; Housing; Corporate Social Responsibility and Impact; Business and Community Relations; Environmental Sustainability; Nonprofit Organizations; Conflict and Resolution
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      Edmondson, Amy C., Robert G. Eccles, and Mona Sinha. "Mistry Architects (A)." Harvard Business School Case 609-044, February 2009. (Revised April 2011.)
      • 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
      Keywords: Interpersonal Communication; Learning; Surveys; Leading Change; Management Analysis, Tools, and Techniques; Organizational Culture
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      Garvin, David A., Amy C. Edmondson, and Francesca Gino. "Is Yours a Learning Organization?" Harvard Business Review 86, no. 3 (March 2008): 109–116.
      • 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
      Keywords: Cooperation; Decision Choices and Conditions; Groups and Teams; Knowledge Sharing; Leadership
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      Roberto, Michael A., and Amy C. Edmondson. "Everest Leadership and Team Simulation." Simulation and Teaching Note. Boston: Harvard Business School Publishing, 2008. Electronic. (Product number 2650.)
      • September 2006
      • Article

      Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation

      By: Yoella Bereby-Meyer and Alvin E. Roth
      Keywords: Cooperation; Learning; Games, Gaming, and Gambling
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      Bereby-Meyer, Yoella, and Alvin E. Roth. "Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
      • 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
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      Bereby-Meyer, Yoella, and Alvin E. Roth. "The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
      • 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
      Keywords: Decision Choices and Conditions; Strategy; Game Theory; Learning
      Citation
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      Roth, A. E., and Ido Erev. "Modeling Repeated Play of the Prisoners' Dilemma with Reinforcement Learning over an Enriched Strategy Set." 2006. (Presented at the Dahlem Workshop on Bounded Rationality: The Adaptive Toolbox.)
      • 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
      Keywords: Learning; Information
      Citation
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      Erev, Ido, Yoella Bereby-Meyer, and Alvin E. Roth. "The Effect of Adding a Constant to All Payoffs: Experimental Investigation, and a Reinforcement Learning Model with Self-Adjusting Speed of Learning." Journal of Economic Behavior & Organization 39, no. 1 (May 1999): 111–128.
      • 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
      Citation
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      Erev, Ido, and A. E. Roth. "On the Role of Reinforcement Learning in Experimental Games: The Cognitive Game Theory Approach." In Games and Human Behavior: Essays in Honor of Amnon Rapoport, edited by D. Budescu, I. Erev, and R. Zwick, 53–77. Lawrence Erlbaum Associates, 1999.
      • 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
      Keywords: Games, Gaming, and Gambling; Forecasting and Prediction; Learning; Strategy
      Citation
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      Erev, Ido, and A. E. Roth. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria." American Economic Review 88, no. 4 (September 1998): 848–881.
      • Research Summary

      Innovating in Energy: Learning from High-Potential Ventures

      By: Joseph B. Lassiter

      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

      By: Himabindu Lakkaraju

      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

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