Publications

Article

Organizational Innovation in the Multinational Enterprise: Internalization Theory and Business History

By: Teresa da Silva Lopes, Mark Casson and Geoffrey Jones

This article engages in a methodological experiment by using historical evidence to challenge a common misperception about internalization theory. The theory has often been criticized for maintaining that it assumes a hierarchically organized MNE based on knowledge... View Details

Keywords: Internalization; Multinational Strategy; Business History; Organization And Management Theory; Globalization; Entrepreneurship; Governance; History; Organizations; Theory; Africa; Asia; Europe; Latin America; North and Central America

October 2018
Article

A Theory of Intergenerational Mobility

By: Gary Becker, Scott Duke Kominers, Kevin Murphy and Jorg L. Spenkuch

We develop a model of intergenerational resource transmission that emphasizes the link between cross-sectional inequality and intergenerational mobility. By drawing on first principles of human capital theory, we derive several novel results. In particular, we show... View Details

Keywords: Intergenerational Mobility; Inequality; Complementarities; Equality and Inequality; Human Capital; Income; Family and Family Relationships

Research Summary

Making Machine Learning Models Interpretable

By: Himabindu Lakkaraju

I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details

1993
Comment

What Does a Theory of Creativity Require?

By: T. M. Amabile

Comments on Hans J. Eysenck's claims about the close alliance between creativity and psychosis in an article published in the periodical 'Psychological Inquiry.' Distinct senses of Eysenck's use of the term creativity; Failure of Eysenck to present an actual theory of... View Details

Keywords: Creativity; Social Psychology; Theory

2010
Book

Handbook of Leadership Theory and Practice

By: Nitin Nohria and Rakesh Khurana

The study of leadership suffers intellectual neglect and has yet to be considered a serious academic discipline. And though the mission statements of most business schools profess to "develop leaders who make a difference in the world," these same schools produce... View Details

Keywords: Business Education; Interdisciplinary Studies; Leadership; Practice; Research; Theory

Article

Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna

We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details

Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance

Teaching Interest

Great Theorems of Microeconomic Theory

By: Jerry R. Green

This course covers the field of microeconomics as seen through the lens of the "great theorems" that have determined its evolution since WWII. During that time period the entire field of economics has changed. It is now described in terms of advanced mathematics, much... View Details

2015
Working Paper

A Theory of Intergenerational Mobility

By: Gary Becker, Scott Duke Kominers, Kevin Murphy and Jorg L. Spenkuch

We develop a model of intergenerational resource transmission that emphasizes the link between cross-sectional inequality and intergenerational mobility. By drawing on first principles of human capital theory, we derive several novel results. In particular, we show... View Details

Keywords: Intergenerational Mobility; Inequality; Complementarities; Human Capital; Equality and Inequality; Income; Family and Family Relationships

SSRN

2025
Working Paper

A Cognitive Theory of Reasoning and Choice

By: Pedro Bordalo, Nicola Gennaioli, Giacomo Lanzani and Andrei Shleifer

We present a theory of decisions in which attention to the features of choice options is determined by the decision maker's categorization of the current choice problem in a set of problems she solved in the past. Categorization depends on goal-relevant as well as... View Details

Research Summary

Adoption of Machine Learning Models in Real World Decision Making

By: Himabindu Lakkaraju

The goal of this research is to assess the impact of deploying machine learning models in real world decision making in domains such as health care. View Details

May 1977 (Revised October 1989)
Case

International Business Machines (F): Contracting for the Development and Manufacture of a New Machine

12 Jul 2007
Working Paper Summaries

Toward a Theory of Behavioral Operations

Keywords: by Francesca Gino & Gary Pisano

July 19, 1998
Article

In the Grip of the Dumb Machine

By: R. S. Tedlow

Keywords: Machinery and Machining

2020
Working Paper

Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective

By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang

We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details

Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science

SSRN

Article

Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications

By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström

Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details

Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science

2007
Working Paper

Interpersonal Authority in a Theory of the Firm

By: Eric J. Van den Steen

This paper develops a theory of the firm in which a firm's centralized asset ownership and low-powered incentives give a manager 'interpersonal authority' over employees (in a world with differing priors). The paper derives such interpersonal authority as... View Details

Keywords: Governance Controls; Employee Relationship Management; Managerial Roles; Motivation and Incentives; Boundaries; Theory

SSRN

February 26, 2024
Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details

Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms

Article

On the Theory of Effective Demand

By: Jerry R. Green

June 1996 (Revised November 1996)
Background Note

Economic Gains from Trade, The: Theories of Strategic Trade

The theory of competitive advantage is one of the most widely accepted economic principles among economists. The theory, as well as substantial historical evidence, suggest that free trade raises national income, while government intervention in trade relations... View Details

Keywords: Competitive Advantage; Trade

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