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  • All HBS Web  (12,723)
    • People  (75)
    • News  (2,995)
    • Research  (3,810)
    • Events  (39)
    • Multimedia  (354)
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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
Citation
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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.)
  • 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
Citation
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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.
  • 1 Apr 1992
  • Conference Presentation

Motivation, Creativity, and Learning

By: R. Conti, Teresa M. Amabile and S. Pollack
Keywords: Motivation and Incentives; Creativity; Learning
Citation
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Conti, R., Teresa M. Amabile, and S. Pollack. "Motivation, Creativity, and Learning." Paper presented at the Eastern Psychological Association Meeting, Boston, MA, April 1, 1992.
  • February 2013
  • Article

Learning from Roger Fisher

By: James K. Sebenius
Roger Fisher's career and writings not only offer lessons about negotiation but also about how an academic, especially in a professional school such as law or business, can make an important, positive difference in the world. By his relentless engagement in vexing... View Details
Keywords: Roger Fisher; Dispute Resolution; Bargaining; Negotiation
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Sebenius, James K. "Learning from Roger Fisher." Harvard Law Review 126, no. 4 (February 2013): 893–898.
  • 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
Keywords: Allocation Problems; Algorithms; Fairness; Learning
Citation
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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.
  • 27 Jun 2007
  • Lessons from the Classroom

Learning to Make the Move to CEO

"Everyone in this program has earned their stripes at a very senior leadership level," Simons notes. "It's important to have that kind of person because participants work in groups and in very intensive classroom situations. The ability to teach and to... View Details
Keywords: by Julia Hanna; Education
  • February 26, 2024
  • Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details
Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms
Citation
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Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
  • July–August 2023
  • Article

Demand Learning and Pricing for Varying Assortments

By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
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Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
  • 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.)
  • Article

Active World Model Learning with Progress Curiosity

By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
Keywords: World Models; Mathematical Methods
Citation
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Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
  • 1994
  • Conference Presentation

Alliances as Learning Races

By: Ranjay Gulati
Citation
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Gulati, Ranjay. "Alliances as Learning Races." Paper presented at the Academy of Management Annual Meeting, Dallas, TX, 1994.
  • January 2014
  • Technical Note

Learning From Extreme Consumers

By: Jill Avery and Michael Norton
Traditional market research methods focus on understanding the average experiences of average consumers. This focus leads to gaps in our knowledge of consumer behavior and often fails to uncover insights that can drive revolutionary, rather than evolutionary... View Details
Keywords: Market Research; Ethnography; Design Thinking; Innovation; New Product Development; Research; Marketing; Consumer Behavior; Innovation and Invention
Citation
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Avery, Jill, and Michael Norton. "Learning From Extreme Consumers." Harvard Business School Technical Note 314-086, January 2014.
  • 19 Jun 2013 - 21 Jun 2013
  • Keynote Speech

Empowering the Learner at Work: The Three Stances Framework

By: Michele Rigolizzo, David Perkins and Marga Biller
Research suggests that work-relevant learning occurs largely on the job. However, in many situations workers do not learn nearly as much as they might. The "three stances" model helps to explain why. When someone undertakes a task, the person may adopt a completion,... View Details
Keywords: Learning And Development; Learning Organizations; Learning To Learn; Organizational Culture; Organizational Design; Learning
Citation
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Rigolizzo, Michele, David Perkins, and Marga Biller. "Empowering the Learner at Work: The Three Stances Framework." Learning Managers Forum, United Nations, Turin, Italy, June 19–21, 2013. (The Learning Managers Forum provides the leaders of the UN Learning Community with opportunities to: SHARE and analyze innovation, knowledge, and best practices; EXPLORE new ways to respond to the challenges of your daily work; SHAPE the UN Learning Community of the future.)
  • 08 Sep 2015
  • Research & Ideas

Knowledge Transfer: You Can't Learn Surgery By Watching

While some lessons can be learned by watching—a parent’s reaction after touching a hot stove can be a good lesson for a youngster on dangers in the kitchen—other lessons are harder to learn through... View Details
Keywords: by Michael Blanding; Health
  • summer 1981
  • Article

Productivity: Learning from the Japanese

By: Hirotaka Takeuchi
Keywords: Learning; Japan
Citation
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Takeuchi, Hirotaka. "Productivity: Learning from the Japanese." California Management Review (summer 1981).
  • 1990
  • Chapter

Learning Effects in Cell Manufacturing

By: S. Datar, S. Kekre and E. Svaan
Keywords: Learning; Manufacturing Industry
Citation
Related
Datar, S., S. Kekre, and E. Svaan. "Learning Effects in Cell Manufacturing." Chap. 9 in Manufacturing Strategy: The Research Agenda for the Next Decade, edited by John Ettlie, Michael C. Burstein, and Avi Fiegenbaum, 75–84. Boston, MA: Kluwer Academic Publishers, 1990.
  • 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
Citation
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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.
  • 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
Citation
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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.
  • March/April 2001
  • Article

Organizational Learning in Health Care

By: Richard Bohmer and A. Edmondson
Keywords: Learning; Organizations; Health; Health Industry
Citation
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Bohmer, Richard, and A. Edmondson. "Organizational Learning in Health Care." Health Forum Journal (March/April 2001), 32–35.
  • 2013
  • Working Paper

Work Design Drivers of Organizational Learning about Operational Failures: A Laboratory Experiment on Medication Administration

By: Anita L. Tucker
Operational failures persist in hospitals, in part because employees work around them rather than attempt to prevent recurrence. Drawing on a process improvement tool—the Andon cord—we examine three work design components that may foster improvement-oriented behaviors:... View Details
Keywords: Health Care; Process Improvement; Organizational Learning; Behavioral Operations; Prosocial Behavior; Experiments; Organizational Change and Adaptation; Behavior; Performance Improvement; Health Care and Treatment; Business Processes; Health Industry
Citation
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Tucker, Anita L. "Work Design Drivers of Organizational Learning about Operational Failures: A Laboratory Experiment on Medication Administration." Harvard Business School Working Paper, No. 13-044, November 2012. (Revised September 2013.)
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