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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

2020
Working Paper

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury

Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details

Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis

SSRN

2016
Article

The Mirroring Hypothesis: Theory, Evidence, and Exceptions

By: Lyra J. Colfer and Carliss Y. Baldwin

The mirroring hypothesis predicts that organizational ties within a project, firm, or group of firms (e.g., communication, collocation, employment) will correspond to the technical dependencies in the work being performed. This article presents a unified picture of... View Details

Keywords: Modularity; Mirroring Hypothesis; Organization Design; Conway's Law; Knowledge Boundaries; Relational Contracts; Open Source Software; Organizational Design; Organizational Structure; Boundaries; Knowledge Management; Applications and Software

2016
Working Paper

The Mirroring Hypothesis: Theory, Evidence and Exceptions

By: Lyra J. Colfer and Carliss Y. Baldwin

The mirroring hypothesis predicts that organizational ties within a project, firm, or group of firms (e.g., communication, collocation, employment) will correspond to the technical patterns of dependency in the work being performed. A thorough understanding of the... View Details

Keywords: Modularity; Innovation; Product And Process Development; Organization Design; Design Structure; Organizational Ties; Mirroring Hypothesis; Industry Architecture; Product Architecture; Complex Technical Systems; Information Technology; Organizational Design; Organizational Structure; Relationships; Innovation and Invention; Product Development

SSRN

February 2010 (Revised June 2012)
Case

"Plugging In" the Consumer: The Adoption of Electrically Powered Vehicles in the U.S.

By: Elie Ofek and Polly Ribatt

How will U.S. consumers respond to the proliferation of alternative-fuel vehicles, such as cars powered partially or completely by electricity, in the coming decade? After a century in which fossil fuel-powered vehicles dominated the market, it appeared consumers would... View Details

Keywords: Energy Sources; Policy; Marketing; Demand and Consumers; Business and Government Relations; Natural Environment; Pollutants; Adoption; Auto Industry; United States

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Partially Verifiable Information and Mechanism Design

By: Jerry R. Green and Jean-Jacques Laffont

In a principal-agent model with adverse selection, we study the implementation of social choice functions when the agent's message space is a correspondence which depends on this true characteristic. We characterize such correspondence for which the Revelation... View Details