Publications

Article

Robust and Stable Black Box Explanations

By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani

As machine learning black boxes are increasingly being deployed in real-world applications, there has been a growing interest in developing post hoc explanations that summarize the behaviors of these black boxes. However, existing algorithms for generating such... View Details

Keywords: Machine Learning; Black Box Models; Framework

28 Jan 2020
Book

Advanced Leadership Requires More Than Outside-The-Box Thinking

essential skill to master for creating an edge in the innovation economy is the ability to tell stories, to motivate others to join you on an unknown journey. What are the key ideas behind learning to be a storyteller? Kanter: Effective leaders are storytellers. While... View Details

Keywords: by Sean Silverthorne

December 2022
Article

The Rise of People Analytics and the Future of Organizational Research

By: Jeff Polzer

Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data,... View Details

Keywords: Organizational Change and Adaptation; Analytics and Data Science; Technology Adoption; Employees

20 Jun 2017
Working Paper Summaries

Conversational Peers and Idea Generation: Evidence from a Field Experiment

Keywords: by Sharique Hasan and Rembrand Koning

Research Summary

Overview

By: Shunyuan Zhang

Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging... View Details

Article

Counterfactual Explanations Can Be Manipulated

By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh

Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details

Keywords: Machine Learning Models; Counterfactual Explanations

30 May 2023
Research & Ideas

Can AI Predict Whether Shoppers Would Pick Crest or Colgate?

Companies have long poured time and money into surveying customers. Now, with new research showing artificial intelligence provides plenty of rich data about shopper preferences, could customer surveys become obsolete? Companies turn to... View Details

Keywords: by Kristen Senz

Research Summary

Managing Customer Information

By: Frances X. Frei

After a service offering is implemented, firms routinely collect significant amounts of data, including customer, employee, and firm financial data. However, service firms are not nearly as effective as they could be in taking advantage of these data. This research... View Details

2024
Working Paper

Does the Case for Private Equity Still Hold?

By: Nori Gerardo Lietz and Philipp Chvanov

Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions... View Details

Keywords: Private Equity; Investment Return; Investment Portfolio; Financial Markets

SSRN

August 2018
Article

Growth Through Heterogeneous Innovations

By: Ufuk Akcigit and William R. Kerr

We build a tractable growth model where multi-product incumbents invest in internal innovations to improve their existing products, while new entrants and incumbents invest in external innovations to acquire new product lines. External and internal innovations generate... View Details

Keywords: Endogenous Growth; Innovation; Citations; Scientists; Entrepreneurs; External; Internal; Patents; Innovation Strategy; Entrepreneurship; Economic Growth; Research and Development; Science

2012
Article

Do Voters Demand Responsive Governments? Evidence from Indian Disaster Relief

By: Shawn Cole, Andrew Healy and Eric Werker

Using rainfall, public relief, and election data from India, we examine how governments respond to adverse shocks and how voters react to these responses. The data show that voters punish the incumbent party for weather events beyond its control. However, fewer voters... View Details

Keywords: Political Elections; System Shocks; Natural Disasters; Policy; Motivation and Incentives; Public Opinion; India

2019
Working Paper

Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India

By: Thomas Bossuroy, Clara Delavallade and Vincent Pons

Developing countries increasingly use biometric identification technology in hopes of improving the reliability of administrative information and delivering social services more efficiently. This paper exploits the random placement of biometric tracking devices in... View Details

Keywords: Biometric Technology; Health Care and Treatment; Technological Innovation; Analytics and Data Science; Quality; Performance Improvement; India

Article

Guilt Enhances the Sense of Control and Drives Risky Judgments

By: Maryam Kouchaki, Christopher Oveis and F. Gino

The present studies investigate the hypothesis that guilt influences risk-taking by enhancing one's sense of control. Across multiple inductions of guilt, we demonstrate that experimentally induced guilt enhances optimism about risks for the self (Study 1), preferences... View Details

Keywords: Risk and Uncertainty; Behavior; Emotions

2023
Article

Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju

One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details

Keywords: AI and Machine Learning; Mathematical Methods

September 2017
Case

Sensing (and Monetizing) Happiness at Hitachi

By: Ethan Bernstein and Stephanie Marton

Inspired by research linking happiness and productivity, Hitachi had invested in developing new “people analytics” technologies to help companies increase employee happiness. Hitachi had begun manufacturing high-tech badges that quantify a wearer’s activity patterns.... View Details

Keywords: People Analytics; Japan; Sociometers; Wearables; Interpersonal Communication; Human Resources; Happiness; Technology Industry; Japan

Educators

January 2004 (Revised April 2004)
Case

Excel Academy Charter Middle School, The

This case is set in the summer of 2002 in a recently approved charter middle school in Boston. The school's founders face a choice of compensation plans as they finalize the initial teaching team in the school. In particular, the founders are actively considering two... View Details

Keywords: Teaching; Performance; Compensation and Benefits; Boston

April 2025 (Revised April 2025)
Case

JPMorganChase: Leadership in the Age of GenAI

By: Iavor I. Bojinov, Karim R. Lakhani and David Lane

This case study examines JPMorgan Chase's (JPMC) journey in adopting and implementing Generative AI (GenAI) following the release of ChatGPT. It outlines JPMC's initial cautious approach focused on data security, followed by strategic investments in internal platforms... View Details

Educators

November 1993 (Revised March 1995)
Case

Marsh Supermarkets, Inc. (A): The Marsh Super Study

In response to recent trends in grocery retailing, Marsh Supermarkets has completed an intensive 65-week study of the activity at 5 superstores in the midwest United States. The study tracked the sales, profits, space, and promotion dynamics of the entire store: dry... View Details

Keywords: Marketing Strategy; Analysis; Consumer Behavior; Retail Industry

Educators