Publications

20 Jul 2022
News

Wired to be Inspired

economic model and the HR model and getting it all working. But he said leaders need to also be poets. Now, what is a poet? A poet is somebody who creates a vision, a beautiful view of what the world could... View Details

Keywords: Management of Companies and Enterprises; Management of Companies and Enterprises

01 Dec 2009
News

Hope for Reform Dims

excessive consumer and corporate debt. “Regulatory structures failed to keep up” with innovations in the marketplace, he added. Thain took the top spot at Merrill Lynch in December 2007, resigning as CEO of the NYSE Euronext. Previously,... View Details

Keywords: Administration of Economic Programs; Administration of Economic Programs; Administration of Economic Programs; Administration of Economic Programs

January 2002 (Revised September 2002)
Case

Corporate Renewal in America

By: Bruce R. Scott and Thomas S. Mondschean

Discusses various macroeconomic, regulatory, technological, and financial forces that led to increased corporate restructuring in the United States beginning in the mid-1980s. The U.S. financial system is often viewed as the most developed in the world and a model for... View Details

Keywords: Performance Evaluation; Corporate Governance; Macroeconomics; Economic Systems; Restructuring; Markets; Private Sector; Corporate Finance; Germany; Japan; United States

Educators

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02 Mar 2016
Working Paper Summaries

Extrapolation and Bubbles

Keywords: by Nicholas Barberis, Robin Greenwood, Lawrence Jin, and Andrei Shleifer

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

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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23 Oct 2019
News

Preparing Leaders to Leverage Artificial Intelligence

self-driving cars to robots mopping up spills at the grocery store. As computer systems increasingly perform tasks that people once did, the implications for business are enormous. Although more than 80 percent of executives believe View Details

Keywords: Intellectual Ambition; Pathbreaking Research; Artificial Intelligence

Person Page

Press / Media

By: Debora L. Spar

I'll have a girl, please

American Public Media [Marketplace], 12 September 2006

DR. DEBORAH SPAR: "The ability to choose gender is really only the first... View Details

01 Sep 2024
News

Reduce, Reuse, Recycle

Thirteen years ago, Marcelo Claure, founder of wireless services company Brightstar, discussed with a reluctant Steve Jobs the idea of launching a trade-in and recycling program for iPhones. It was a business move that expanded the market and created a new profit... View Details

Keywords: Jennifer Meyers

2023
Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li

We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details

Keywords: AI and Machine Learning; Mathematical Methods

01 Mar 2018
What Do You Think?

Two Decades Later, is the 'New Economy' Finally Here?

economy running at near peak efficiency because of the factors you mention? ... A new economy would have new governing rules, but I don’t see new rules taking hold today. Now, having a factory full of View Details

Keywords: by James Heskett

2023
Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details

Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry

20 Feb 2001
Research & Ideas

What’s Next for Japan

Japan's economic recovery. "It is clear that something is wrong in Japan from an economic point of view," Porter stated, as a means of... View Details

Keywords: by Hilah Geer

15 Jul 2025
News

Bringing Business Insights to Micro-entrepreneurs

Every day, more than one million hawkers and other food and beverage vendors across Southeast Asia use the Grab delivery service to operate their small businesses—and grow them for the future—with a little help from Grab’s new AI Merchant Assistant. Via the company’s... View Details

Keywords: Jennifer Gillespie

June 2010 (Revised July 2012)
Supplement

Dubai: Debt, Development, and Crisis (B)

By: Aldo Musacchio, Andrew Christopher Goodman and Claire K. Qureshi

On November 25, 2009, the city state of Dubai stunned markets by announcing that Dubai World, its flagship state holding company, would seek a six month "standstill" on at least $4 billion U.S. dollars of its $26 billion in debt obligations. This case describes Dubai's... View Details

Keywords: Borrowing and Debt; Development Economics; Crisis Management; Dubai

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November–December 2024
Article

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

By: Kirk Bansak and Elisabeth Paulson

This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details

Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment

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Article

Gains from Foreign Direct Investment: Macro and Micro Approaches

By: Laura Alfaro

This paper discussed the importance of an “integrated approach” to the study of the effects of FDI on host countries. Macro-level work that examines countries at different stages of development and institutional capacity is needed to surface the role of local... View Details

Keywords: Spillovers; Complementarities; Mechanism; Foreign Direct Investment; Economic Growth