Publications

Educators

January 2019
Supplement

Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis

By: Jill Avery and Gerald Zaltman

In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Luckily, an old consumer research study on the Nestlé Crunch Bar... View Details

2013
Working Paper

Span of Control and Span of Attention

By: Oriana Bandiera, Andrea Prat, Raffaella Sadun and Julie Wulf

Using novel data on CEO time use, we document the relationship between the size and composition of the executive team and the attention of the CEO. We combine information about CEO span of control for a sample of 65 companies with detailed data on how CEOs allocate... View Details

Keywords: Conferences; Analytics and Data Science; Leadership Style; Management Style; Managerial Roles; Time Management; Planning

SSRN

2025
Article

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

By: Kosuke Imai and Michael Lingzhi Li

Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details

Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science

January 2021
Article

Using Models to Persuade

By: Joshua Schwartzstein and Adi Sunderam

We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details

Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework

January–February 2025
Article

Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley

For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details

Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage

Register to Read

2023
Article

Experimental Evaluation of Individualized Treatment Rules

By: Kosuke Imai and Michael Lingzhi Li

The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details

Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning

September 2016 (Revised March 2017)
Module Note

Strategy Execution Module 3: Using Information for Performance Measurement and Control

By: Robert Simons

This module reading explains how managers use information to control critical business processes and outcomes. The analysis begins by illustrating how managers use information to communicate goals and track performance. Then the focus turns to the choices that managers... View Details

Keywords: Management Control Systems; Implementing Strategy; Strategy Execution; Organization Process; Feedback Model; Innovation; Uses Of Information; Big Data; Benchmarking; Decision Making; Information; Performance Evaluation; Analytics and Data Science

October 2000 (Revised April 2003)
Background Note

Project Finance Research, Data, and Information Sources

By: Benjamin C. Esty and Fuaad Qureshi

Documents the major sources of project finance research and data. It is to be a reference guide for MBA students writing for the elective curriculum course, Large-scale Investment, and for others interested in the field of project finance. View Details

Keywords: Analytics and Data Science; Project Finance; Research; Investment

17 Nov 2003
Research & Ideas

Lessons from a Nasty Trade Dispute

reshaping the international business environment. Finally, managers need to think creatively and analytically about different kinds of government support, both direct and indirect. Although many of us assume that it is always obvious when... View Details

Keywords: by Cynthia Churchwell

10 Dec 2001
Research & Ideas

Governance in India and Around the Globe

1990s. The subsequent two long sections constitute the analytical heart of the paper. We first consider three, non-mutually exclusive reasons for Infosys' adoption of corporate governance practices. As part of this section, we develop a... View Details

Keywords: by Tarun Khanna & Krishna Palepu; Technology

16 Jul 2024
Research & Ideas

Weighing Digital Tradeoffs in Private Equity

intelligence (AI) and data analytics into an organization’s day-to-day operations to streamline workflows and gain data-driven insights to improve the business. “At this time, PE firms are finding that there’s a lot of low-hanging fruit... View Details

Keywords: by Michael Blanding; Financial Services

25 Oct 2016
First Look

October 25, 2016

set in May 2016, discusses sales strategy and managing sales and service at Oversight Systems, an Atlanta, Georgia–based software firm that developed analytics for organizations to monitor their data for errors, fraud, and operational... View Details

Keywords: Sean Silverthorne

15 May 2018
First Look

New Research and Ideas, May 15, 2018

be enormous. Though economists should treat the prospect of a developed space economy with healthy skepticism, it would be irresponsible to treat it as science fiction. In this article, I provide an analytical framework—based on classic... View Details

Keywords: Dina Gerdeman

September 2015 (Revised February 2023)
Case

Emdeon's Acquisition of Change Healthcare: Innovating Transparency Solutions for Health Care Consumers

By: Regina E. Herzlinger, Jeet Guram and Aanchal Raj

Case describes acquisition of Change Healthcare, which provides health care cost and quality information, by Emdeon, a health information exchange, and discusses health care transparency. Emdeon is a billion-dollar company that has grown through acquisitions; at its... View Details

Keywords: Healthcare; Healthcare Industry; Healthcare Innovation; Health Care and Treatment; Acquisition; Integration; Analytics and Data Science; Mergers and Acquisitions; Competitive Strategy; Health Industry; United States

Educators

1991
Book

Multinational and International Banking

By: G. Jones

The essays in this volume explore the historical evolution of multinational and international banking. Contemporary studies, and most writers on the theory of multinational banking, focus on US data, yet historically European financial institutions were the leaders in... View Details

Keywords: Banks and Banking; Multinational Firms and Management; Analytics and Data Science; Opportunities; Theory; Banking Industry; Europe; United States

June 1992 (Revised March 2006)
Case

Concordia Casting Company

By: F. Warren McFarlan

Describes five years of development in a centralized data processing activity serving a highly decentralized corporation. Data processing manager discovers that a major software system conversion is a full year behind schedule, and subsequently makes several managerial... View Details

Keywords: Analytics and Data Science; Applications and Software; System; Information Technology; Change Management; Organizational Change and Adaptation; Leadership Style; Leading Change; Human Resources; Conflict and Resolution; Supply Chain Management; Accounting; Auto Industry

Educators

2023
Chapter

Inflation and Misallocation in New Keynesian Models

By: Alberto Cavallo, Francesco Lippi and Ken Miyahara

The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details

Keywords: Macroeconomics; Inflation and Deflation; Price; Analytics and Data Science; Cost

2017
Working Paper

The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond

By: Josh Lerner

Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details

Keywords: Patents; Analytics and Data Science; Corporate Finance; Research; Problems and Challenges