Publications

09 May 2014
Working Paper Summaries

‘My Bad!’ How Internal Attribution and Ambiguity of Responsibility Affect Learning from Failure

Keywords: by Christopher G. Myers, Bradley R. Staats & Francesca Gino

2008
Chapter

Overcoming Barriers to Collaboration: Psychological Safety and Learning in Diverse Teams

By: A. Edmondson and Kate Roloff

We review research on psychological safety and team learning to identify core ideas and findings in these closely related literatures and to propose a model in which a negative relationship between team member diversity and team collaboration is moderated by... View Details

Keywords: Interpersonal Communication; Groups and Teams; Social and Collaborative Networks; Performance Improvement; Learning; Diversity

01 Mar 2010
News

Rwanda Provides Students with Hands-On Learning

in Rwanda’s most impoverished villages. To help improve the function of the Rwanda Development Board, another team examined the cost to business of governmental bureaucracy. “I believe that people learn the most about another country and... View Details

Keywords: Margie Kelley; Colleges, Universities, and Professional Schools; Educational Services; Management, Scientific, and Technical Consulting Services; Professional Services

14 Nov 2016
Op-Ed

5 Lessons I Hope Marketers Don’t Learn from Donald Trump

marketer ranks on size of the lie is a matter of opinion, but someone who hoped to learn ethical practice from his marketing manual would be well advised not to follow him in the matter of frequency. The Washington Post scored 64 percent... View Details

Keywords: by John A. Deighton

February 2021
Article

Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning

By: Sooji Ha, Daniel J Marchetto, Sameer Dharur and Omar Isaac Asensio

The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a driver of adverse health effects globally. Increasingly, government policies have promoted the adoption of electric vehicles (EVs) as a solution to mitigate GHG emissions.... View Details

Keywords: Natural Language Processing; Analytics and Data Science; Environmental Sustainability; Infrastructure; Transportation; Policy

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March 2003
Background Note

A Short Note on the AccuFlow Excel Model

By: Jay O. Light

Describes an Excel spreadsheet workbook that facilitates the analysis of AccuFlow, Inc. View Details

Keywords: History; Analytics and Data Science; Cost of Capital; Negotiation; Capital; Business Model; Economic Systems; Machinery and Machining; Leveraged Buyouts; Business Startups; Equity

December 2018
Case

Choosy

By: Jeffrey J. Bussgang and Julia Kelley

Founded in 2017, Choosy is a data-driven fashion startup that uses algorithms to identify styles trending on social media. After manufacturing similar items using a China-based supply chain, Choosy sells them to consumers through its website and social media pages.... View Details

01 Jun 2020
What Do You Think?

Will Challenged Amazon Tweak Its Retail Model Post-Pandemic?

asked, “Is this a good time to begin thinking about prudential limits so that the brick-and-mortar stores will continue to be around when the next lockdown happens?” Perhaps the most basic question was one raised by NickC when he said, “The question for me is whether... View Details

Keywords: by James Heskett; Retail

10 Apr 2013
Research & Ideas

Learning Curve: Making the Most of Outsourcing

model fits the practice of teleradiology. The article, titled "Learning from Customers: Individual and Organizational Effects in Outsourced Radiological Services," was written by Huckman; Jonathan R. Clark (HBS PhDHP '10), Pennsylvania... View Details

Keywords: by Paul Guttry; Health

01 Oct 2000
News

Willoughby G. Walling II: A Learning Experience

improvements in Chelsea, but I wouldn't hold that initiative up as a model for change," he observes. Walling's experiments in art started ten years ago, when he took a set of paints with him on vacation in Montana. "It was a pretty place,... View Details

Keywords: Deborah Blagg

28 May 2013
News

What the U.S. Can Learn From Healthcare Delivery Overseas

Article

Why Hospitals Don't Learn from Failures: Organizational and Psychological Dynamics That Inhibit System Change

By: A. Tucker and A. Edmondson

The importance of hospitals learning from their failures hardly needs to be stated. Not only are matters of life and death at stake on a daily basis, but also an increasing number of U.S. hospitals are operating in the red. This article reports on in-depth qualitative... View Details

Keywords: Health Care and Treatment; Health Industry

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07 Oct 2015
What Do You Think?

What is the Best Immigration Model for the US?

On Immigration Does the US Have Anything to Learn from Europe? We should not confuse the potential economic benefits of immigration for the United States with what is happening in Europe and specifically Germany. While the benefits can be... View Details

Keywords: by James Heskett

Research Summary

Team, Individual, and Organizational Learning From Experience in Two High-Hazard Industries

High-hazard industries such as nuclear power and chemical process plants must learn and improve without sole reliance on trial-and-error. Considerable attention and resources are placed on learning from operating experience, including exchange of best practices, peer... View Details

July 2023 (Revised July 2023)
Background Note

Generative AI Value Chain

By: Andy Wu and Matt Higgins

Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details

Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value

Article

A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun

We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details

Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods

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October 2018
Case

American Family Insurance and the Artificial Intelligence Opportunity

By: Rajiv Lal and Scott Johnson

1990
Chapter

Measurement, Coordination and Learning in a Multi-plant Network

By: W. B. Chew, K. B. Clark and T. Bresnahan

Keywords: Factories, Labs, and Plants; Organizational Structure; Networks; Business Model; Measurement and Metrics; Cooperation