Publications

06 Dec 2017
Working Paper Summaries

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

Keywords: by Joshua Lev Krieger

September 2003 (Revised June 2005)
Case

Learning from LeapFrog: Creating Educational and Business Value

By: Lynda M. Applegate, Christopher Dede and Susan Saltrick

Explores the success factors leading to one's company's rise to the number three ranking in the aggressively competitive toy industry. LeapFrog has made the strategic decision to exploit its educational model in two industry sectors: consumer toys and educational... View Details

Keywords: Transformation; Decisions; Education; Entrepreneurship; Innovation and Invention; Growth Management; Media; Business and Stakeholder Relations; Research; Value Creation

Purchase

2006
Conference Paper

Modeling Repeated Play of the Prisoners' Dilemma with Reinforcement Learning over an Enriched Strategy Set

By: A. E. Roth and Ido Erev

Keywords: Decision Choices and Conditions; Strategy; Game Theory; Learning

November 2013
Article

Learning from My Successes and from Others' Failures: Evidence from Minimally Invasive Cardiac Surgery

By: D. KC, B. Staats and F. Gino

Learning from past experience is central to an organization's adaptation and survival. A key dimension of prior experience is whether an outcome was successful or unsuccessful. While empirical studies have investigated the effects of success and failure in... View Details

Keywords: Healthcare; Health Care; Knowledge Work; Attribution Theory; Quality; Success; Medical Specialties; Health Care and Treatment; Failure; Learning; Health Industry

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01 Nov 2018
Working Paper Summaries

Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

Keywords: by Xiaojia Guo, Yael Grushka-Cockayne, and Bert De Reyck; Air Transportation; Travel

1999
Working Paper

The View Through a Different Lens: Investigating Organizational Learning at the Group Level of Analysis

By: Amy C. Edmondson

2022
Working Paper

Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso

We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details

Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing

SSRN

03 Dec 2001
What Do You Think?

What Happens When the Sumo Master Learns Judo?

combatants have unusual means at their disposal, regardless of size. The comments raise several questions: What are the chances that Microsoft can defy traditional market dynamics? What kinds of strategic... View Details

Keywords: by James Heskett

12 Nov 2001
Research & Ideas

Can Religion and Business Learn From Each Other?

learn from business? I think there's a lot of room for cross-learning here. One of the things I think the religious community can learn from the... View Details

Keywords: by Martha Lagace

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

December 2023 (Revised November 2024)
Case

Generative AI and the Future of Work

By: Christopher Stanton, Matt Higgins, Shira Aronson and Meg Shriber

Generative AI seemed poised to reshape the world of work, including the higher-wage, white-collar jobs typically pursued by MBA graduates. Informed by the latest research, this case explores generative AI's potential impacts on work, productivity, value creation, and... View Details

Keywords: AI; Future Of Work; Labor Market; AI and Machine Learning; Labor; Value Creation; Performance Productivity; Technology Industry; United States

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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

May 2011
Book Review

Book review of Learning by Example: Imitation and Innovation at a Global Bank, by David Strang.

By: Rosabeth M. Kanter

Keywords: Learning; Innovation and Invention

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July–August 2018
Article

Learning by Contributing: Gaining Competitive Advantage Through Contribution to Crowdsourced Public Goods

By: Frank Nagle

As the economy becomes more information based, firms are increasingly using crowdsourced public goods as inputs for innovation and production. Counterintuitively, some firms pay their employees to contribute to the creation of these goods, which can be used freely by... View Details

Keywords: Open Source Distribution; Applications and Software; Competitive Strategy; Learning; Competitive Advantage

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September 2014 (Revised March 2017)
Case

Humanitarian Assistance/Disaster Relief: What Can We Learn from Commercial Supply Chains?

By: Willy Shih and Margaret Pierson

Organizing speedy and efficient supply operations for unpredictable major natural disasters was a continuing challenge for the U.S. military, and the 2010 earthquake in Haiti was both unique in its operational scope and political complexity. As he reviewed the... View Details

Keywords: Supply Chains; Humanitarian Assistance; Disaster Relief; Distribution; Logistics; Supply Chain; Supply Chain Management; Operations; Distribution Industry; United States; Haiti

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2006
Working Paper

Learning and Equilibrium As Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games

By: Ido Erev, Alvin E. Roth, Robert L. Slonim and Greg Barron

19 Jun 2017
Working Paper Summaries

Learning to Manage: A Field Experiment in the Indian Startup Ecosystem

Keywords: by Aaron Chatterji, Solene Delecourt, Sharique Hasan, and Rembrand Koning; Technology

August 2023
Article

Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh

Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details

Keywords: AI and Machine Learning; Technological Innovation; Technology Adoption