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  • All HBS Web  (11,286)
    • People  (74)
    • News  (2,855)
    • Research  (3,799)
    • Events  (45)
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  • 2025
  • Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
  • 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
Keywords: Entrepreneurship; Learning; Innovation and Invention
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Childress, Stacey M., James Weber, and Matthew Adams Haldeman. "School of One: Reimagining How Students Learn." Harvard Business School Case 310-053, April 2010.
  • July – August 2008
  • Article

The Competitive Imperative of Learning

By: Amy C. Edmondson
Keywords: Competition; Learning
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Edmondson, Amy C. "The Competitive Imperative of Learning." HBS Centennial Issue Harvard Business Review 86, nos. 7/8 (July–August 2008): 60–67.
  • 1992
  • Chapter

Learning About Learning from Data: The Work of Edward Leamer

By: Dutch Leonard
Keywords: Learning; Data and Data Sets
Citation
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Leonard, Dutch. "Learning About Learning from Data: The Work of Edward Leamer." In New Horizons in Economic Thought, edited by Keith E. Maskus. Aldershot, U.K.: Edward Elgar Publishing, 1992.
  • 18 Apr 2000
  • Research & Ideas

Learning in Action

"The most effective learning strategy depends on the situation," writes David A. Garvin. "There is no stock answer, nor is there a single best approach." In Learning in Action, he illustrated the diversity... View Details
Keywords: by David A. Garvin
  • 2019
  • Working Paper

The Road Not Taken: Consumption of Unfamiliar Products Increases Feelings of Self-Discovery and Consumer Engagement

By: Dafna Goor, Grant Donnelly and Michael I. Norton
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Goor, Dafna, Grant Donnelly, and Michael I. Norton. "The Road Not Taken: Consumption of Unfamiliar Products Increases Feelings of Self-Discovery and Consumer Engagement." Working Paper, June 2019.
  • April 2000
  • Teaching Note

Types of Learning Processes TN

By: David A. Garvin and Jeffrey Berger
Teaching Note for (9-300-124). Not listed on product. View Details
Keywords: Learning
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Garvin, David A., and Jeffrey Berger. "Types of Learning Processes TN." Harvard Business School Teaching Note 300-111, April 2000.
  • February 2021
  • Tutorial

Assessing Prediction Accuracy of Machine Learning Models

By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details
Keywords: Statistics; Experiments; Forecasting and Prediction; Performance Evaluation; AI and Machine Learning
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Toffel, Michael, and Natalie Epstein. Assessing Prediction Accuracy of Machine Learning Models. Harvard Business School Tutorial 621-706, February 2021. (Click here to access this tutorial.)
  • 01 Jan 1977
  • Conference Presentation

Short Term Natural Gas Consumption Forecasts: Optimal Use of National Weather Service Data

By: James K. Sebenius and Richard Lehman
Keywords: Forecasting and Prediction; Research; Business and Government Relations; Energy Industry
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Sebenius, James K., and Richard Lehman. "Short Term Natural Gas Consumption Forecasts: Optimal Use of National Weather Service Data." Paper presented at the American Geophysical Union Annual Meeting, American Geophysical Union, January 01, 1977.
  • February 2014
  • Article

Learning by Supplying

By: Juan Alcacer and Joanne Oxley
Learning processes lie at the heart of our understanding of how firms build capabilities to generate and sustain competitive advantage: learning by doing, learning by exporting, learning from competitors, users, and alliance partners. In this paper we focus attention... View Details
Keywords: Competitive Advantage; Organizations; Learning
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Alcacer, Juan, and Joanne Oxley. "Learning by Supplying." Strategic Management Journal 35, no. 2 (February 2014): 204–223.
  • 2012
  • Working Paper

Learning by Supplying

By: Juan Alcacer and Joanne Oxley
Learning processes lie at the heart of our understanding of how firms build capabilities to generate and sustain competitive advantage: learning by doing, learning by exporting, learning from competitors, users, and alliance partners. In this paper we focus attention... View Details
Keywords: Learning; Supply Chain; Competitive Advantage; Mobile and Wireless Technology; Competency and Skills; Relationships; Telecommunications Industry
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Alcacer, Juan, and Joanne Oxley. "Learning by Supplying." Harvard Business School Working Paper, No. 12-093, April 2012.
  • October 2021
  • Article

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

By: Nicolas Padilla and 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; Programs; Consumer Behavior; Analysis
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
  • 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
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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.
  • October 2004 (Revised March 2006)
  • Background Note

Learning from Scandals: Responsibility of Professional Organizations

By: Ashish Nanda
This case comments on the responsibility of professional organizations to respond openly to public accusations of wrongdoing by its members. It briefly relates the circumstances of the sexual abuse scandal in the Boston archdiocese of the Roman Catholic Church and the... View Details
Keywords: Corporate Disclosure; Ethics
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Nanda, Ashish. "Learning from Scandals: Responsibility of Professional Organizations." Harvard Business School Background Note 905-037, October 2004. (Revised March 2006.)
  • Article

Inviting Consumers to Downsize Fast-Food Portions Significantly Reduces Calorie Consumption

By: Janet Schwartz, Jason Riis, Brian Elbel and Dan Ariely
Policies that mandate calorie labeling in fast-food and chain restaurants have had little or no observable impact on calorie consumption to date. In three field experiments, we tested an alternative approach: activating consumers' self-control by having servers ask... View Details
Keywords: Food; Labels; Consumer Behavior; Interpersonal Communication; Motivation and Incentives; Health Industry; Food and Beverage Industry
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Schwartz, Janet, Jason Riis, Brian Elbel, and Dan Ariely. "Inviting Consumers to Downsize Fast-Food Portions Significantly Reduces Calorie Consumption." Health Affairs 31, no. 2 (February 2012): 2399–2407.
  • 2020
  • Working Paper

Team Learning and Superior Firm Performance: A Meso-Level Perspective on Dynamic Capabilities

By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
This paper proposes a team-based, meso-level perspective on dynamic capabilities. We argue that team-learning routines constitute a critical link between managerial cognition and organization-level processes of sensing, seizing, and reconfiguring. We draw from the... View Details
Keywords: Dynamic Capabilities; Innovation; Strategic Change; Teams; Team Learning; Groups and Teams; Learning; Innovation and Invention; Change; Performance
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Harvey, Jean-François, Henrik Bresman, Amy C. Edmondson, and Gary P. Pisano. "Team Learning and Superior Firm Performance: A Meso-Level Perspective on Dynamic Capabilities." Harvard Business School Working Paper, No. 19-059, December 2018. (Revised January 2020.)
  • Article

On the Causality and Cause of Returns to Organizational Status: Evidence from the Grands Crus Classés of the Médoc

By: Daniel Malter
This paper identifies the causal symbolic effect of status on the prices organizations charge for their products. I exploit the classification of the châteaux of the Médoc, which sorted 61 wine producers into five growth classes in 1855, as a fixed hierarchical symbol... View Details
Keywords: Organizational Status; Quality Signals; Conspicuous Consumption; Wine Classification Of 1855; Grand Cru; Status and Position; Quality; Reputation; Price; France
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Malter, Daniel. "On the Causality and Cause of Returns to Organizational Status: Evidence from the Grands Crus Classés of the Médoc." Administrative Science Quarterly 59, no. 2 (June 2014): 271–300.
  • Article

Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance
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Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
  • 2019
  • Working Paper

Status Pivoting: Coping with Status Threats through Motivated Trade-off Beliefs and Consumption across Domains

By: Dafna Goor, Anat Keinan and Nailya Ordabayeva
Prior research established that status threat leads consumers to display status-related products such as luxury brands. While compensatory consumption in the domain of the status threat (e.g., products associated with financial and professional success) is the most... View Details
Keywords: Status and Position; Luxury; Consumer Behavior
Citation
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Goor, Dafna, Anat Keinan, and Nailya Ordabayeva. "Status Pivoting: Coping with Status Threats through Motivated Trade-off Beliefs and Consumption across Domains." Working Paper, April 2019. (Invited for revision at Journal of Consumer Research.)
  • February 1989
  • Background Note

Learning with Cases

Gives some tips to maximize all learning; offers the pros and cons of experiential learning (cases) as a method; and gives some guidelines for effective case preparation, discussion, and learning. View Details
Keywords: Cases; Learning
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Bonoma, Thomas V. "Learning with Cases." Harvard Business School Background Note 589-080, February 1989.
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