Publications

2003
Article

The Influence of Culture and Corporate Governance on the Characteristics that Distinguish Superior Analysts

By: Michael B. Clement, Lynn Rees and Edward Swanson

We identify characteristics of financial analysts that have been shown to be associated with relative forecast accuracy in the United States and examine these characteristics within 10 countries. We find that relative forecast accuracy is influenced by years of... View Details

Keywords: Forecasting and Prediction; Performance Evaluation

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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

2024
Working Paper

Mammography - Early Detection, Precise Diagnoses: Case Histories of Transformational Advances

By: Amar Bhidé, Srikant M. Datar and Katherine Stebbins

This case history describes how the development of x-ray-based techniques and equipment (“mammography”) led to widespread screening for breast cancer and enabled “minimally invasive” biopsies of breast tumors. Specifically, we chronicle how: 1) new protocols and... View Details

Keywords: Health Care and Treatment; Technological Innovation; Innovation Strategy; Technology Adoption; Collaborative Innovation and Invention; Innovation and Invention; Governing Rules, Regulations, and Reforms

December 2007
Article

The Roles of Task-Specific Experience and Innate Ability in Understanding Analyst Performance

By: Michael B. Clement, Lisa Koonce and Thomas Lopez

Considerable debate exists about what analyst experience measures and whether analysts learn from their experiences. Extant research has argued that once innate ability is considered, analysts’ general and firm-specific experiences are not relevant to understanding... View Details

Keywords: Experience and Expertise; Learning; Performance Evaluation; Forecasting and Prediction; Financial Services Industry

Research Summary

Thin Slices of Teams with Professor Jeff Polzer, Patricia Satterstrom, and Lisa Kwan

How do people evaluate team effectiveness from short observations of interactions among team members? What are the cues people take in in such narrow windows of experience? What contributes to the accuracy of evaluations based on thin slices of... View Details

05 Mar 2012
News

Apple's Job Creation Data Spurs an Economic Debate

22 Feb 2021
Working Paper Summaries

Auditor Independence and Outsourcing: Aligning Incentives to Mitigate Shilling and Shirking

Keywords: by Ashley Palmarozzo, Jodi L. Short, and Michael W. Toffel; Apparel & Accessories

25 Jun 2020
News

Connecting the dots from detection to cure

February 2019 (Revised November 2024)
Case

Theranos: Who Has Blood on Their Hands? (A)

By: Nien-hê Hsieh, Christina R. Wing, Emilie Fournier and Anna Resman

This case covers the rise and fall of Theranos, the company founded by Elizabeth Holmes in 2004 to revolutionize the blood testing industry by creating a device that could provide from a small finger prick the same results and accuracy as intravenous blood draws. As... View Details

Keywords: Health Testing and Trials; Corporate Accountability; Organizational Culture; Misleading and Fraudulent Advertising; Crime and Corruption; Ethics; Entrepreneurship; Lawsuits and Litigation

Educators

October 2018
Article

The Operational Value of Social Media Information

By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang

While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details

Keywords: Machine Learning; Information; Sales; Forecasting and Prediction; Social Media

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12 Feb 2018
Working Paper Summaries

Private Equity, Jobs, and Productivity: Reply to Ayash and Rastad

Keywords: by Steven J. Davis, John Haltiwanger, Kyle Handley, Ron S. Jarmin, Josh Lerner, and Javier Miranda

26 Apr 2017
Working Paper Summaries

Assessing the Quality of Quality Assessment: The Role of Scheduling

Keywords: by Maria Ibanez and Michael W. Toffel; Service; Food & Beverage

2022
Working Paper

Machine Learning Models for Prediction of Scope 3 Carbon Emissions

By: George Serafeim and Gladys Vélez Caicedo

For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details

Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting

April 2003 (Revised March 2009)
Case

Operational Execution at Arrow Electronics

By: Ananth Raman and Zeynep Ton

Distribution center operations (from order taking to order fulfillment) and the importance of attending to process details at Arrow Electronics, a large distributor of electronic components and computer products are described. The case also details the actions the... View Details

Keywords: Information; Distribution; Logistics; Strategy; Electronics Industry

Educators

Article

Oracle Efficient Private Non-Convex Optimization

By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu

One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details

Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods

19 Jun 2018
News

The Other Diversity Dividend

2021
Working Paper

Time and the Value of Data

By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti

Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details

Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value

2023
Working Paper

The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

By: David S. Scharfstein and Sergey Chernenko

We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details

Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result

Article

Bringing Probability Judgments into Policy Debates via Forecasting Tournaments

By: Philip E. Tetlock, Barbara A. Mellers and J. Peter Scoblic

Political debates often suffer from vague-verbiage predictions that make it difficult to assess accuracy and improve policy. A tournament sponsored by the U.S. intelligence community revealed ways in which forecasters can better use probability estimates to make... View Details

Keywords: Tournaments; Politics; Depolarization; Knowledge Creation; Forecasting and Prediction; Government and Politics