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- All HBS Web
(2,174)
- People (4)
- News (556)
- Research (829)
- Events (4)
- Multimedia (7)
- Faculty Publications (175)
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- December 2019
- Article
Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning
By: Guofang Huang, Hong Luo and Jing Xia
Pricing idiosyncratic products is often challenging because the seller, ex ante, lacks information about the demand for individual items. This paper develops a model of dynamic pricing for idiosyncratic products that features the optimal stopping structure and a seller... View Details
Keywords: Dynamic Pricing; Idiosyncratic Products; Item-specific Demand; Demand Uncertainty; Active Seller Learning; The Value Of Information; Price; Information; Value; Learning
Huang, Guofang, Hong Luo, and Jing Xia. "Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning." Management Science 65, no. 12 (December 2019): 5556–5583.
- 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
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).
- 25 Sep 2015
- Working Paper Summaries
Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning
- 2020
- Conference Presentation
Active World Model Learning with Progress-driven Exploration
By: K-H Kim, M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins
- March 2021
- Article
Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic
Past research has focused on understanding the characteristics of work that are fully virtual or fully collocated. The present study seeks to expand our understanding of team work by studying knowledge workers' experiences as they were suddenly forced to transition to... View Details
Keywords: Team Work; Activities; Virtual Work; Digital Technologies; Groups and Teams; Health Pandemics; Internet and the Web; Adaptation
Whillans, Ashley V., Leslie Perlow, and Aurora Turek. "Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic." Information and Organization 31, no. 1 (March 2021).
- 2006
- Article
The Long-Term Value of M&A Activity to Enhance Learning Organizations
Viewing the automobile industry as being made up of independent learning-organisations may reveal some tie-ups that can generate value not easily revealed by traditional financial metrics. The key question to be answered when considering M&A activity between automakers... View Details
Heller, Daniel A., Glenn Mercer, and Takahiro Fujimoto. "The Long-Term Value of M&A Activity to Enhance Learning Organizations." International Journal of Automotive Technology and Management 6, no. 2 (2006): 157 – 176.
- January 2025
- Case
Index and Active Investing: Vanguard and the New Frontier of Active ETFs
By: Marco Sammon, Luis M. Viceira and Jonathan Kanagasabai
This case explores Vanguard’s strategic decision-making process as it considers entering the growing market for actively managed exchange-traded funds (ETFs). Set in 2024, the case places students in the position of Rodney Comegys, Vanguard’s global head of the Equity... View Details
Keywords: Asset Management; Financial Strategy; Investment Funds; Investment Portfolio; Financial Services Industry
Sammon, Marco, Luis M. Viceira, and Jonathan Kanagasabai. "Index and Active Investing: Vanguard and the New Frontier of Active ETFs." Harvard Business School Case 225-056, January 2025.
- April 2020
- Article
Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning
By: Ariel Dora Stern and W. Nicholson Price, II
In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has been engaging... View Details
Keywords: Machine Learning; Causal Inference; Health Care and Treatment; Safety; Governing Rules, Regulations, and Reforms
Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 (April 2020): 363–367.
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- July 2021
- Supplement
CIAM: Home-Grown Shareholder Activism in France (B)
By: Charles C.Y. Wang, Tonia Labruyere and Vincent Dessain
This case is a complement to CIAM: Home-Grown Shareholder Activism in France (A) and describes the events after CIAM learned about a potential misuse of corporate assets at Altice/SFR. View Details
Keywords: Corporate Governance; Valuation; Investment Activism; Accounting; Strategy; Financial Services Industry; France
Wang, Charles C.Y., Tonia Labruyere, and Vincent Dessain. "CIAM: Home-Grown Shareholder Activism in France (B)." Harvard Business School Supplement 121-078, July 2021.
- Research Summary
Learning Organizations
David A. Garvin is studying how companies pursue improvement and change through efforts to stimulate organizational learning. He has found the following activities to be common in learning organizations: intelligence gathering; experimentation; learning from... View Details
- 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
- June 2012
- Article
The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control
Using data from embedded participant-observers and a field experiment at the second largest mobile phone factory in the world, located in China, I theorize and test the implications of transparent organizational design on workers' productivity and organizational... View Details
Keywords: Transparency; Privacy; Organizational Learning; Operational Control; Organizational Performance; Chinese Manufacturing; Field Experiment; Rights; Interpersonal Communication; Management Practices and Processes; Ethics; Corporate Disclosure; Performance Productivity; Boundaries; Organizations; Social and Collaborative Networks; Labor and Management Relations; Power and Influence; Manufacturing Industry; China
Bernstein, Ethan S. "The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control." Administrative Science Quarterly 57, no. 2 (June 2012): 181–216.
- 2005
- Chapter
Beyond 'Fun and Games': Outdoor Activities for Meaningful Leadership Development
Many managers and academics today view outdoor exercises as simply "fun and games." However, framed correctly, outdoor leadership activities provide a uniquely effective method for leadership development. They allow participants to access and explore the deeper... View Details
Keywords: Learning; Games, Gaming, and Gambling; Leadership Development; Personal Development and Career; Business and Stakeholder Relations; Groups and Teams; Behavior; Emotions; Personal Characteristics; Alignment
Petriglieri, Gianpiero, and Jack D. Wood. "Beyond 'Fun and Games': Outdoor Activities for Meaningful Leadership Development." In Mastering Executive Education: How to Combine Content with Context and Emotion, edited by Paul J. Strebel and Tracy Keys, 252–266. London: Financial Times Prentice Hall, 2005.
- July 2004 (Revised May 2009)
- Case
Getting Participant-centered Learning to Work
By: Thomas R. Piper, James L. Heskett and Gustavo Herrero
The newly appointed dean of a South American business school is eager to transform the learning process from the traditional lecture method to one that actively engages students and contributes to the development of critical managerial skills, attitudes, and world... View Details
Keywords: Change Management; Transformation; Business Education; Leading Change; Business Processes; Organizational Change and Adaptation; Alliances; Education Industry; South America
Piper, Thomas R., James L. Heskett, and Gustavo Herrero. "Getting Participant-centered Learning to Work." Harvard Business School Case 805-007, July 2004. (Revised May 2009.)
- 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
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.
- Article
Time-Driven Activity-Based Costing: A Driver for Provider Engagement in Costing Activities and Redesign Initiatives
By: Robert S. Kaplan, Nancy McLaughlin, Michael A. Burke, Nisheeta P. Setlur, Douglas R. Niedzwiecki, Alan L. Kaplan, Christopher Saigal, Aman Mahajan and Neil A. Martin
Object. To date, health care providers have devoted significant efforts to improve performance regarding patient safety and quality of care. To address the lagging involvement of health care providers in the cost component of the value equation, UCLA Health... View Details
Kaplan, Robert S., Nancy McLaughlin, Michael A. Burke, Nisheeta P. Setlur, Douglas R. Niedzwiecki, Alan L. Kaplan, Christopher Saigal, Aman Mahajan, and Neil A. Martin. "Time-Driven Activity-Based Costing: A Driver for Provider Engagement in Costing Activities and Redesign Initiatives." Neurosurgical Focus 37, no. 5 (November 2014).
- Article
A Learning Perspective on Intraorganizational Knowledge Spill-Ins
By: James Oldroyd and Ranjay Gulati
This exploratory study examines the role of intraorganizational knowledge spill-ins in the process of inferential learning. Drawing on the notions of knowledge reliability (the creation of shared meanings) and validity (understandings of cause and effect), we explore... View Details
Oldroyd, James, and Ranjay Gulati. "A Learning Perspective on Intraorganizational Knowledge Spill-Ins." Strategic Entrepreneurship Journal 4, no. 4 (December 2010): 356–372.
- 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
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.)