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September 2024
Article

Activist Directors: Determinants and Consequences

By: Ian D. Gow, Sa-Pyung Sean Shin and Suraj Srinivasan

This paper examines determinants and consequences of hedge fund activism, focusing on activist directors, i.e., directors appointed in response to activist demands. Using a sample of 3,259 activism events from 2004 to 2016, we identify 1,623 activist directors.... View Details

Keywords: Governing and Advisory Boards; Investment Activism; Business and Shareholder Relations

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August 2024
Article

Partisans neither Expect nor Receive Reputational Rewards for Sharing Falsehoods over Truth Online.

By: Isaias Ghezae, Jillian J. Jordan, Izzy Gainsburg, Mohsen Mosleh, Gordon Pennycook, Robb Willer and David Rand

A frequently invoked explanation for the sharing of false over true political information is that partisans are motivated by their reputations. In particular, it is often argued that by indiscriminately sharing news that is favorable to one’s political party,... View Details

Keywords: Political Ideology; Reputation; Communication Intention and Meaning; Social Media; News

2023
Working Paper

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani

The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details

Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement

July 2023 (Revised July 2023)
Background Note

Generative AI Value Chain

By: Andy Wu and Matt Higgins

Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details

Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value

2024
Working Paper

Using LLMs for Market Research

By: James Brand, Ayelet Israeli and Donald Ngwe

Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details

Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry

March–April 2023
Article

Market Segmentation Trees

By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis

Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details

Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing

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December 2022
Article

Two Representations of Information Structures and Their Comparisons

By: Jerry R. Green and Nancy L. Stokey

This paper compares two representations of informativeness. View Details

Keywords: Decision Choices and Conditions; Risk and Uncertainty; Information; Analysis

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2022
Working Paper

The Evolution of ESG Reports and the Role of Voluntary Standards

By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon

We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The percentage of firms releasing these voluntary disclosures increased from 35% to 86% during this period, although the length of these documents experienced more modest growth. Using a... View Details

Keywords: Voluntary Disclosure; Textual Analysis; Modeling And Analysis; Corporate Social Responsibility and Impact; AI and Machine Learning; Accounting

2022
White Paper

The American Opportunity Index: A Corporate Scorecard of Worker Advancement

By: Matt Sigelman, Joseph Fuller, Nik Dawson and Gad Levanon

The American Opportunity Index: A Corporate Scorecard of Worker Advancement is a new effort to give companies and other stakeholders a set of robust tools that measure how well major employers are doing in fostering economic mobility for workers and how they could do... View Details

Keywords: Upward Mobility; Career Advancement; Personal Development and Career; Compensation and Benefits; Employees; Wages; Human Capital; Recruitment

September 2022
Article

Loneliness Versus Distress: A Comparison of Emotion Regulation Profiles

By: Alyssa J. Tan, Vincent Mancini, James J. Gross, Amit Goldenberg, Johanna C. Badcock, Michelle H. Lim, Rodrigo Becerra, Ben Jackson and David A. Preece

Loneliness, a negative emotion stemming from the perception of unmet social needs, is a major public health concern. Current interventions often target social domains but produce small effects and are not as effective as established emotion regulation (ER)-based... View Details

Keywords: Emotions

2022
Working Paper

Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso

We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details

Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing

May 2022
Article

Variance Analysis: New Insights from Health Care Applications

By: Robert S. Kaplan and Susanna Gallani

We use a health care application to illustrate how variance analysis can be used to benchmark costs across similar service delivery sites. Variances for personnel costs, typically the largest cost component in service organizations, are calculated for price, quantity,... View Details

Keywords: Variance Analysis; Benchmarking; Time-Driven Activity-Based Costing; Health Care; Activity Based Costing and Management; Health Care and Treatment; Service Delivery; Service Industry

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May 2022
Article

When Harry Fired Sally: The Double Standard in Punishing Misconduct

By: Mark Egan, Gregor Matvos and Amit Seru

We examine gender differences in misconduct punishment in the financial advisory industry. We find evidence of a “gender punishment gap”: following an incident of misconduct, female advisers are 20% more likely to lose their jobs and 30% less likely to find new jobs... View Details

Keywords: Financial Advisers; Brokers; Gender Discrimination; Consumer Finance; Financial Misconduct And Fraud; FINRA; Financial Institutions; Employees; Crime and Corruption; Gender; Prejudice and Bias; Personal Finance; Financial Services Industry

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March 2022
Article

Sensitivity Analysis of Agent-based Models: A New Protocol

By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow

Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such... View Details

Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods

Article

Behavioral and Neural Representations en route to Intuitive Action Understanding

By: Leyla Tarhan, Julian De Freitas and Talia Konkle

When we observe another person’s actions, we process many kinds of information—from how their body moves to the intention behind their movements. What kinds of information underlie our intuitive understanding about how similar actions are to each other? To address this... View Details

Keywords: Action Perception; Intuitive Similarity; Multi-arrangement; fMRI; Representational Similarity Analysis; Behavior; Perception

2021
Working Paper

The Great Unequalizer: Initial Health Effects of COVID-19 in the United States

By: Marcella Alsan, Amitabh Chandra and Kosali I. Simon

We measure inequities from the COVID-19 pandemic on mortality and hospitalizations in the United States during the early months of the outbreak. We discuss challenges in measuring health outcomes and health inequality, some of which are specific to COVID-19 and others... View Details

Keywords: COVID-19; Health Inequality; Health Pandemics; Demographics; Equality and Inequality

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April 2021 (Revised July 2021)
Case

StockX: The Stock Market of Things (Abridged)

By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley

Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details

2020
Working Paper

EMEs and COVID-19: Shutting Down in a World of Informal and Tiny Firms

By: Laura Alfaro, Oscar Becerra and Marcela Eslava

Emerging economies are characterized by an extremely high prevalence of informality, small-firm employment and jobs not fit for working from home. These features factor into how the COVID-19 crisis has affected the economy. We develop a framework that, based on... View Details

Keywords: COVID-19; Emerging Economies; Informality; Firm-size Distribution; Health Pandemics; Developing Countries and Economies; Economy; System Shocks; Latin America

2020
Working Paper

Anchors Aweigh: Analysis of Anchor Limited Partner Investors in Impact Investment Funds

By: Shawn A. Cole, T. Robert Zochowski, Fanele Mashwama and Heather McPherson

This note describes results from a survey of “anchor investors” in impact funds. Anchor investors are described as “generally the first investor to make a substantial capital commitment to a fund,” (according to the Global Impact Investing Network, “GIIN”) and their... View Details

Keywords: Impact Investment Funds; Anchor Investors; Investment; Surveys; Analysis

February 2020 (Revised April 2021)
Case

StockX: The Stock Market of Things

By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley

Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details

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