Publications

March 2017 (Revised June 2019)
Case

CEO Activism (A)

By: Michael W. Toffel, Aaron K. Chatterji and Julia Kelley

This case introduces CEO activism, a phenomenon in which business leaders engage in political or social issues that do not relate directly to their companies. The case uses several examples to describe why business leaders are engaging in CEO activism and the potential... View Details

18 Apr 2018
News

The Surprising Power of Questions

May 2011
Article

Overconfidence by Bayesian Rational Agents

By: Eric J. Van den Steen

This paper derives two mechanisms through which Bayesian-rational individuals with differing priors will tend to be relatively overconfident about their estimates and predictions, in the sense of overestimating the precision of these estimates. The intuition behind one... View Details

Keywords: Decision Choices and Conditions; Forecasting and Prediction; Knowledge Acquisition; Risk Management; Prejudice and Bias

Find at Harvard

30 Mar 2021
News

Racial Equity Related Stories this Quarter

29 Jun 2020
News

COVID Lockdown: How India's Food Supply Chain First Tightened and then Recovered

04 Jan 2016
Working Paper Summaries

Understanding Conformity: An Experimental Investigation

Keywords: by B. Douglas Bernheim & Christine Exley

May 2017
Case

Buffer.com

By: Susanna Gallani, Tiffany Y. Chang, Brian J. Hall and Jee Eun Shin

Social media company Buffer wanted to establish clear company values early in its growth. One of these values was a commitment to transparency in its company practices. Buffer openly shared its business strategies and fundraising decks, among lots of other information.... View Details

Keywords: Compensation; Compensation Design; Company Values; Culture; Transparency; Compensation and Benefits; Organizational Culture; Values and Beliefs

09 Jun 2020
News

Fed action, debt markets and stocks

2010
Working Paper

Overconfidence by Bayesian Rational Agents

By: Eric Van den Steen

This paper derives two mechanisms through which Bayesian-rational individuals with differing priors will tend to be relatively overconfident about their estimates and predictions, in the sense of overestimating the precision of these estimates. The intuition behind one... View Details

Keywords: Risk and Uncertainty; Measurement and Metrics; Game Theory; Forecasting and Prediction

10 Feb 2021
News

Leading Through Transition: The Three-R Model Might Be the Answer

January 2010 (Revised January 2014)
Case

Twitter

By: Mikolaj Jan Piskorski, David Chen, Bill Heil and Aaron Smith

Twitter is a micro-blogging company that allows users to send short text updates to others. The site is used by people, including celebrities, government officials, and businesses. It helps to raise money for non-profit organizations and provides first-responders with... View Details

Keywords: Blogs; Revenue; Information Publishing; Growth and Development Strategy; Social and Collaborative Networks; Web

March 2012 (Revised February 2013)
Background Note

The Hybrid Vehicle Market

By: Michael W. Toffel and Nazli Z. Uludere Aragon

This note describes the hybrid electic vehicle market, the results of different automaker strategies, and the environmental regulatory issues that can promote or inhibit market growth in the United States. Introduces students to the technologies and regulatory aspects... View Details

Keywords: Competitive Strategy; Environmental Sustainability; Product Development; Information Technology; Governing Rules, Regulations, and Reforms; Auto Industry; Manufacturing Industry; Japan; United States

15 Sep 2020
Blog Post

One Month into the New MS/MBA Biotech

Arts and Sciences/Harvard Medical School joint department. The program is completed over two academic years, utilizing January terms and time in August at the start of the program. The inaugural cohort started in early August 2020 – here is an View Details

2007
Article

Greedy Bidding Strategies for Keyword Auctions

By: Matthew Cary, Aparna Das, Benjamin Edelman, Ioannis Giotis, Kurtis Heimerl, Anna Karlin, Claire Mathieu and Michael Schwarz

How should players bid in keyword auctions such as those used by Google, Yahoo! and MSN? We consider greedy bidding strategies for a repeated auction on a single keyword, where in each round, each player chooses some optimal bid for the next round, assuming that the... View Details

Keywords: Auctions; Bids and Bidding; Strategy; Revenue; Search Technology

Find at Harvard

2025
Article

Humor as a Window into Generative AI Bias

By: Roger Samure, Julian De Freitas and Stefano Puntoni

A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While... View Details

Keywords: AI and Machine Learning; Demographics; Prejudice and Bias

June 1998 (Revised August 2001)
Case

Wells Fargo Online Financial Services (A)

By: Robert S. Kaplan and Nicole Tempest

Wells Fargo, the industry leader in electronic banking, has implemented a Balanced Scorecard in its online financial services group (OFS) to track and measure performance. The OFS group develops and supports services that allow existing and future banking customers to... View Details

Keywords: Balanced Scorecard; Internet and the Web; Corporate Entrepreneurship; Corporate Strategy; Performance Evaluation; Finance; Change; Situation or Environment; Measurement and Metrics; Banking Industry; Financial Services Industry

February 2018
Article

Maintaining Beliefs in the Face of Negative News: The Moderating Role of Experience

By: Bradley R. Staats, Diwas S. KC and F. Gino

Many models in operations management involve dynamic decision making that assumes optimal updating in response to information revelation. However, behavioral theory suggests that rather than updating their beliefs, individuals may persevere in their prior beliefs. In... View Details

Keywords: Information; Announcements; Service Operations; Decision Making; Medical Specialties; Experience and Expertise; Medical Devices and Supplies Industry

Find at Harvard

2023
Working Paper

In-Context Unlearning: Language Models as Few Shot Unlearners

By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju

Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details

Keywords: AI and Machine Learning; Copyright; Information