Publications

2025
Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong

Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions

Forthcoming
Article

An AI Method to Score Celebrity Visual Potential from Human Faces

By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton

It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details

Keywords: Personal Characteristics; AI and Machine Learning; Forecasting and Prediction; Marketing

Article

Measuring Audit Quality

By: Shivaram Rajgopal, Suraj Srinivasan and Xin Zheng

In this paper, we document 45 specific allegations related to audit deficiencies based on GAAS, as detailed in 141 AAERs and 153 securities class action lawsuits over the violation years 1978–2016. Next, we use these allegations to validate existing popular proxies of... View Details

Keywords: Audit Quality; Audit Deficiency; AAER; Securities Class Action Lawsuits; Enforcement; Accounting Audits; Quality; Measurement and Metrics

SSRN

September 26, 2018
Article

Ownership and Power Structure: Together at Last

By: Laura Alfaro, Nicholas Bloom, Paola Conconi, Harald Fadinger, Patrick Legros, Andrew Newman, Raffaella Sadun and John Van Reenen

Economists have largely ignored the deep interdependency between integration and delegation. This column describes a new theory of integration and delegation choices aimed at shedding light on how these distinct elements of organizational design interact. Contrary to... View Details

Keywords: Power; Organisational Design; Economics; Ownership; Organizational Design

07 Dec 2018
Video

Current Events Through the Lens of Theory: Tesla's Debt Downgraded

2023
Working Paper

Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks

By: Shelley Xin Li, Frank Nagle and Aner Zhou

Organization-level networks facilitate the flow of information and business activities in the economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to understand the role of employee connections at all job levels in... View Details

Keywords: Networks; Value; Social and Collaborative Networks; Innovation and Invention; Knowledge Sharing; Employees; Social Media

SSRN

March 2024
Teaching Note

Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions

By: John A. Deighton and Leora Kornfeld

Teaching Note for HBS Case No. 922-039. Digital disruption is challenging the hospitality industry. Traditional hotels face competition from platforms, most visibly Airbnb but also the homeshare divisions of online travel agencies such as Expedia and Booking.com, that... View Details

Keywords: Digital Platforms; Disruptive Innovation; Competition; Market Participation; Accommodations Industry

2019
Book

The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power

By: Shoshana Zuboff

In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in... View Details

Keywords: Consumer Profiling; Consumer Behavior; Forecasting and Prediction; Information Technology; Power and Influence; Ethics; Society; Transformation

August 2017
Article

Is the SEC Captured? Evidence from Comment-Letter Reviews

By: Jonas Heese, Mozaffar Khan and Karthik Ramanna

SEC oversight of publicly listed firms ranges from comment letter (CL) reviews of firms’ reporting compliance to pursuing enforcement actions against violators. Prior literature finds that firm political connections (PC) negatively predict enforcement actions,... View Details

Keywords: Comment Letters; Political Connections; Regulatory Capture; SEC Enforcement; Government Administration; Business and Government Relations; Government and Politics

SSRN

2024
Working Paper

Finance Without Exotic Risk

By: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta and Andrei Shleifer

We address the joint hypothesis problem in cross-sectional asset pricing by using measured analyst expectations of earnings growth. We construct a firm-level measure of Expectations Based Returns (EBRs) that uses analyst forecast errors and revisions and shuts down any... View Details

Keywords: Investment Return; Financial Markets; Behavioral Finance; Risk and Uncertainty

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2014
Working Paper

Visualizing and Measuring Software Portfolio Architectures: A Flexibility Analysis

By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack and David Dreyfus

In this paper, we test a method for visualizing and measuring software portfolio architectures and use our measures to predict the costs of architectural change. Our data is drawn from a biopharmaceutical company, comprising 407 architectural components with 1,157... View Details

Keywords: Design Structure Matrices; Software Architecture; Flexibility; Software Application Portfolio; Complexity; Applications and Software; Forecasting and Prediction

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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08 Dec 2010
Working Paper Summaries

Decoding Inside Information

Keywords: by Lauren Cohen, Christopher Malloy & Lukasz Pomorski; Financial Services

July – August 2008
Article

When Virtue Is a Vice

By: Anat Keinan and Ran Kivetz

Choosing duty over pleasure today can cause regret down the road—whereas regret over the reverse is fleeting. Marketers of luxury products and services should consider prompting customers to predict their future feelings about choices made now. View Details

Keywords: Decision Choices and Conditions; Forecasting and Prediction; Moral Sensibility; Marketing Strategy; Consumer Behavior; Emotions; Luxury

1. Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to... View Details

October 2000
Article

The Equity Share in New Issues and Aggregate Stock Returns

By: Malcolm Baker and Jeffrey Wurgler

The share of equity issues in total new equity and debt issues is a strong predictor of U.S. stock market returns between 1928 and 1997. In particular, firms issue more equity than debt just before periods of low market returns. The equity share in new issues has... View Details

Keywords: Equity; Borrowing and Debt; Stocks; Markets; Debt Securities; Forecasting and Prediction; Accounting Industry; United States