Publications

06 Dec 2017
Working Paper Summaries

Trials and Terminations: Learning from Competitors' R&D Failures

Keywords: by Joshua Lev Krieger

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

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

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

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

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

April 2012 (Revised February 2013)
Case

Learning About Reducing Hospital Mortality at Kaiser Permanente

By: Anita Tucker

In 2011, Kaiser Permanente Northern California (KPNC) region's efforts to reduce mortality in their 21 hospitals is showing promise. They developed and launched a region-wide initiative to improve the treatment of sepsis, a serious and often deadly medical condition.... View Details

Keywords: Change Management; Health Care and Treatment; Performance Improvement; Health Industry; California

April 2025
Article

Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang

Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details

Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception

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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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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

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

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

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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October 2018
Case

American Family Insurance and the Artificial Intelligence Opportunity

By: Rajiv Lal and Scott Johnson

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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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

2020
Article

A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?

By: Doug J. Chung, Byungyeon Kim and Niladri B. Syam

Personal selling represents one of the most important elements in the marketing mix, and appropriate management of the sales force is vital to achieving the organization’s objectives. Among the various instruments of sales management, compensation plays a pivotal role... View Details

Keywords: Sales Compensation; Sales Management; Sales Strategy; Principal-agent Theory; Structural Econometrics; Field Experiments; Machine Learning; Artificial Intelligence; Salesforce Management; Compensation and Benefits; Motivation and Incentives; AI and Machine Learning