Filter Results:
(10,190)
Show Results For
- All HBS Web
(10,190)
- People (64)
- News (3,417)
- Research (4,029)
- Events (30)
- Multimedia (61)
- Faculty Publications (1,443)
Show Results For
- All HBS Web
(10,190)
- People (64)
- News (3,417)
- Research (4,029)
- Events (30)
- Multimedia (61)
- Faculty Publications (1,443)
- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
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
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.
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- January 2015 (Revised April 2015)
- Case
Zeal: Launching Personalized and Social Learning
By: John J-H Kim and Christine S. An
Set in 2014, this case follows John Danner and his team at Zeal as they consider their product development strategy. In February 2013, serial entrepreneurs John Danner and Sanjay Noronha co-found Zeal, an education technology start up providing a web-based, mobile... View Details
Keywords: Entrepreneurship; Education Technology; MVP; Product Development; Product Market Fit; Monetization Strategy; SaaS Business Models; Education; Personalized Learning
Kim, John J-H, and Christine S. An. "Zeal: Launching Personalized and Social Learning." Harvard Business School Case 315-052, January 2015. (Revised April 2015.)
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- 27 Aug 2014
- Lessons from the Classroom
Learning From Japan’s Remarkable Disaster Recovery
leadership in mobilizing people and resources in highly dynamic situations.” Each winter, 900 HBS students dispatch around the world to see businesses up close, learn what they can about how they are run, and share their own knowledge... View Details
- 01 Oct 2012
- Research & Ideas
Better by the Bundle?
scenario where such a bundle was not offered. Total hardware sales were higher by approximately 100,000 units when bundles were offered. Much more surprising, the sales of software video games jumped by over... View Details
Keywords: by Dina Gerdeman
- Dec 13 2017
- Testimonial
New Ways of Thinking
- Article
From Thinking Too Little to Thinking Too Much: A Continuum of Decision Making.
By: Dan Ariely and Michael I. Norton
Due to the sheer number and variety of decisions that people make in their everyday lives-from choosing yogurts to choosing religions to choosing spouses-research in judgment and decision making has taken many forms. We suggest, however, that much of this research has... View Details
Ariely, Dan, and Michael I. Norton. "From Thinking Too Little to Thinking Too Much: A Continuum of Decision Making." Wiley Interdisciplinary Reviews: Cognitive Science 2, no. 1 (January–February 2011): 39–46.
- 20 Dec 2022
- Blog Post
Thinking About an MBA? Think About Your Purpose
Why get an MBA? Many of my students are excited to acquire the tools that will help them solve the complex challenges that await them in the business world. That is admirable, but I have found that my most successful students are also guided View Details
- September 16, 2022
- Article
Bored at Work? Learn to Manage It by Putting It to Work
By: Katherine Connolly Baden, Boris Groysberg and Heather Poco
Do you often feel bored at work or in life? Do you want to feel less bored? If so, what can you do to make that happen? Boredom has a bad rap, but is it really so bad? View Details
Baden, Katherine Connolly, Boris Groysberg, and Heather Poco. "Bored at Work? Learn to Manage It by Putting It to Work." Newsweek (September 16, 2022), 18–19.
- 20 Apr 2011
- Research & Ideas
Blind Spots: We’re Not as Ethical as We Think
Think back to recent events when people making unethical decisions grabbed the headlines. How did auditors approve the books of Enron and Lehman Brothers? How did feeder funds sell Bernard Madoff's invesments? We would never act as they... View Details
Keywords: by Sean Silverthorne
- Research Summary
Relative Thinking and Consumer Choice
Fixed differences appear smaller when compared to large differences. Professor Schwartzstein has proposed a model of relative thinking, in which a person weighs a given change by less when he compares it to a larger range. Relative thinking implies that a person is... View Details
- 03 Oct 2023
- What Do You Think?
Do Leaders Learn More From Success or Failure?
(Jay Yuno/iStock) Harvard Business School Professor Amy Edmondson’s recent thought-provoking book, Right Kind of Wrong, makes a strong case for the notion that we often learn a lot from failure—and in some cases, perhaps even more than we... View Details
Keywords: by James Heskett
- 07 Sep 2022
- News
Bored at Work? Learn to Manage It by Putting It to Work
- July–September 2020
- Article
Innovation Contest: Effect of Perceived Support for Learning on Participation
By: Olivia Jung, Andrea Blasco and Karim R. Lakhani
Background: Frontline staff are well positioned to conceive improvement opportunities based on first-hand knowledge of what works and does not work. The innovation contest may be a relevant and useful vehicle to elicit staff ideas. However, the success of the... View Details
Keywords: Contest; Innovation; Employee Engagement; Organizational Learning; Health Care; Health Care Delivery; Innovation and Invention; Organizations; Learning; Employees; Perception; Health Care and Treatment
Jung, Olivia, Andrea Blasco, and Karim R. Lakhani. "Innovation Contest: Effect of Perceived Support for Learning on Participation." Health Care Management Review 45, no. 3 (July–September 2020): 255–266.
- 09 Jun 2023
- Blog Post
Learning Curve
career in the field but instead found herself in quasi-retirement at age 35. “Life has a way of getting in the way,” she notes. Melcher’s first child, Katie, struggled in preschool with learning disabilities, and Melcher made the decision... View Details
The Power of Vicarious Learning
“We typically think of learning as something that happens in a classroom or an organizational training context, but the reality is that most of our learning occurs in our day to day interactions and the experiences that we have in the workplace.” View Details