Publications
Publications
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- All HBS Web
(1,536)
- Faculty Publications (200)
- 2022
- Working Paper
Small Campaign Donors
By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
- 2023
- Working Paper
Uniform Rate Setting and the Deposit Channel
By: Juliane Begenau and Erik Stafford
U.S. banks predominantly use uniform deposit rate setting policies, particularly the largest banks. Uniform rate setting ignores local market concentration, and is therefore inconsistent with the identification strategy used to provide cross-sectional evidence of the... View Details
- April 6, 2022
- Article
In Uncertain Times, Big Companies Need to Take Care of Their Suppliers
By: Willy C. Shih
Many large original equipment manufacturers (OEMs) have long been ruthless with their suppliers, demanding extremely low prices and loading them up with risks. Given that the current turmoil buffeting global supply chains is unlikely to end anytime soon, OEMs should... View Details
- February 2022 (Revised September 2022)
- Case
InstaDeep: AI Innovation Born in Africa (A)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.].... View Details
- February 2022 (Revised July 2022)
- Supplement
InstaDeep: AI Innovation Born in Africa (B)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.].... View Details
- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details
- November 2021 (Revised January 2024)
- Case
The Global Great Depression, 1929-1939
By: Alberto Cavallo, Sophus A. Reinert and Federica Gabrieli
The Great Depression was, by far, the worst economic contraction of the twentieth century, and some of the most important ideas about both fiscal and monetary policy in the second half of the century were developed in response to it. The economic collapse, which... View Details
- October 2021
- Case
(180) Days of Quibi
By: David J. Collis and Terrence Shu
Mobile streaming app Quibi was ready to take the entertainment world by storm at its April 2020 launch. Backed by $1.75 billion, influential investors from Hollywood to Wall Street eagerly anticipated early success for this brainchild of Meg Whitman, former CEO of... View Details
- October 2021 (Revised November 2022)
- Case
The 2012 Spanish Labor Reform: Lifting All Boats, or Leveling Down?
By: Vincent Pons, Rafael Di Tella, Santiago Botella and Elena Corsi
Since 1978, Spain had struggled to control unemployment. The country’s labor law was protective of employees hired long-term and companies used temporary contracts as buffers. In 2012, amid economic recession and a 23.6% unemployment rate, a center-right government of... View Details
Keywords: COVID-19 Pandemic; Labor Market; Unemployment; Recession; Globalized Markets and Industries; Government Legislation; International Relations; Working Conditions; Employment; Labor Unions; Contracts; Social Issues; Public Opinion; Governing Rules, Regulations, and Reforms; Spain; European Union
- September 13, 2021
- Article
Managing Through Crunch Time—Without Burning Out Your Team
By: Flavio Serapiao, Andrew Hill and Boris Groysberg
Crunch times—the long, stressful hours of work that are often required in the final weeks before a new product launch—can have an inordinate impact on the success of businesses and they’re powerful shapers of organizational culture. Effective leaders understand that... View Details
- 2021
- Working Paper
Multi-location Workers in Multinational Firms? Tradeoffs in Contextual Specialization of Employees and Organizational Outcomes
We study how “contextual specialization,” the act of focusing workers’ organizational tasks within a particular locational context, and “contextual non-specialization,” the practice of diversifying workers’ organizational tasks among multiple locational contexts,... View Details
- July 2021 (Revised December 2021)
- Case
Pershing Square's Pandemic Trade (A)
By: Emil N. Siriwardane, Luis M. Viceira, Dean Xu and Lucas Baker
This case explores the decision that Bill Ackman, CEO and founder of the hedge fund Pershing Square Capital, was considering in late February 2020 about hedging the exposure of the fund’s portfolio from the potential financial fallout ensuing from an extreme event like... View Details
- July 2021 (Revised September 2021)
- Case
Sarah Robb O'Hagan: The Rocky Road of Passion
By: Jon M. Jachimowicz and Francesca Gino
In November 2018, Sarah Robb O’Hagan is reeling from an unceremonious exit as CEO of Flywheel, a chain of indoor cycling studios. In the past, Robb O’Hagan had led transformational change across companies throughout the sports and fitness industry, including as... View Details
- June 2021
- Article
Cognition and Emotion in Extreme Political Action: Individual Differences and Dynamic Interactions
By: Leor Zmigrod and Amit Goldenberg
Who is most likely to join and engage in extreme political action? While traditional theories have focused on situational factors or group identity attributes, an emerging science illustrates that tendencies for extreme political action may also be rooted in... View Details
- May 2021
- Article
Ideology and Composition Among an Online Crowd: Evidence From Wikipedians
By: Shane Greenstein, Grace Gu and Feng Zhu
Online communities bring together participants from diverse backgrounds and often face challenges in aggregating their opinions. We infer lessons from the experience of individual contributors to Wikipedia articles about U.S. politics. We identify two factors that... View Details
- April 2021 (Revised December 2022)
- Case
Capitalism, Slavery, and Reparations
By: Sophus A. Reinert and Cary Williams
The birth of “Modern Economic Growth” constituted a watershed in human history, allowing societies to escape the Malthusian impasse and permanently raise living standards. While the new growth regime had lifted billions of people out of extreme poverty over the last... View Details
- March 2021
- Case
P.F. Chang's
By: Ashish Nanda, Nitin Nohria and Margaret Cross
Excited yet apprehensive after being named CEO of P.F. Chang’s beginning July 1st, 2020, Damola Adamolekun was well aware of the extraordinary challenges facing the firm. The closure of businesses deemed “nonessential” owing to the COVID-19 pandemic had devastated the... View Details
- March 2021
- Article
The Crowd Emotion Amplification Effect
By: Amit Goldenberg, Erika Weisz, Timothy D. Sweeney, Mina Cikara and James Gross
How do people go about reading a room or taking the temperature of a crowd? When people catch a brief glimpse of an array of faces, they can only focus their attention on some of the faces. We propose that perceivers preferentially attend to faces exhibiting strong... View Details
- Article
How Long Can a Company Thrive Doing Just One Thing?
By: Andy Wu and Scott Duke Kominers
The news that the chat app Slack was being sold to veteran customer relationship management company Salesforce for $27.7 billion raised a lot of eyebrows. Why sell after a year of explosive growth? The deal, however, epitomizes a question facing so-called best-of-breed... View Details
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details