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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

2016
Article

Learning By Contributing: Gaining Competitive Advantage Through Contributing to Public Goods

By: Frank Nagle

27 Aug 2014
Lessons from the Classroom

Learning From Japan’s Remarkable Disaster Recovery

idea to write their own cases, and Takeuchi readily agreed. He works with the small teams doing the work. "This allows HBS to make a difference by leaving best practices for future generations to study... View Details

Keywords: by Sean Silverthorne; Energy; Utilities; Retail

03 Feb 2016
What Do You Think?

How Do You Hire an 'Impostor'?

the employment of “imposters,” a term, by the way, that was regarded as objectionable by many, most respondents implicitly rejected the notion. They pointed to the desirable qualities of imposters, people... View Details

Keywords: by James Heskett

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

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

Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science

2014
Working Paper

Modeling Money Market Spreads: What Do We Learn about Refinancing Risk?

By: Vincent Brousseau, Kleopatra Nikolaou and Huw Pill

January–February 2025
Article

Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley

For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details

Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage

Register to Read

2017
Working Paper

Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers

By: Elisabeth Kempf, Alberto Manconi and Oliver Spalt

Learning by doing matters for professional investors. We develop a new methodology to show that mutual fund managers outperform in industries where they have obtained experience on the job. The key to our identification strategy is that we look "inside" funds and... View Details

Keywords: Fund Managers; Experience and Expertise; Performance; Forecasting and Prediction

Research Summary

Overview

Professor Myers studies the ways people learn from their own—and others’—experiences at work, with a particular emphasis on learning in health care organizations and emergency medical contexts. Though his interest is in individual-level learning, he focuses in... View Details

Keywords: Learning And Development; Learning Organizations; Learning By Doing; Health Care Industry; Innovation; Identity Construction; Medical Error; Knowledge Development; Knowledge Sharing; Knowledge Work; Learning; Leadership Development; Knowledge Management; Collaborative Innovation and Invention; Health Industry; United States; Singapore; Asia

17 Jan 2007
Op-Ed

Learning from Private-Equity Boards

If Enron had been owned and controlled by a small group of private-equity investors, could the monitoring and control practices of a professionally run buyout shop have protected Enron's shareholders and employees from the problems that... View Details

Keywords: by Malcolm Salter; Financial Services

2017
Working Paper

What Else Do Shareholders Want? Shareholder Proposals Contested by Firm Management

By: Eugene F. Soltes, Suraj Srinivasan and Rajesh Vijayaraghavan

Shareholder proposals provide investors an opportunity to exercise their decision rights within firms, but managers can seek permission from the Securities and Exchange Commission (SEC) to dismiss proposals. We find that managers seek to exclude 39% of all proposals... View Details

Keywords: Voting; Business and Shareholder Relations

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

27 Jun 2007
Lessons from the Classroom

Learning to Make the Move to CEO

bring back what they've learned to their organizations? "Graduates walk a fine line," Simons remarks. "On the one hand, it's not wise to come back with the attitude that they know it all and are ready to save the company.... View Details

Keywords: by Julia Hanna; Education

15 Nov 2006
Research & Ideas

Lessons Not Learned About Innovation

Every managerial generation rediscovers the need for innovation to drive growth but, decade after decade, "grand declarations about innovation are followed by mediocre execution that produces anemic results, and innovation groups are... View Details

Keywords: by Sean Silverthorne

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

Research Summary

Selective Attention and Learning

By: Joshua R. Schwartzstein

What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details

21 Nov 2019
Research & Ideas

Do TV Debates Sway Voters?

the election don’t do it following TV debates. "We find that debates don’t have any effect on any group of voters." “There’s this perception that debates are this great democratic tool, where voters can find out what candidates... View Details

Keywords: by Danielle Kost

December 1, 2021
Article

Do You Know How Your Teams Get Work Done?

By: Rohan Narayana Murty, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna and Kartik Hosanagar

In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital... View Details

Keywords: Leading Teams; Work Recall Gap; Machine Learning; Algorithms; Groups and Teams; Management; Technological Innovation