Publications
Publications
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- All HBS Web
(2,678)
- Faculty Publications (1,067)
- 2023
- Working Paper
Spatial Mobility, Economic Opportunity, and Crime
By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo and Audrey Tiew
Neighborhoods are strong determinants of both economic opportunity and criminal activity. Does improving connectedness between segregated and unequal parts of a city predominantly import opportunity or export crime? We use a spatial general equilibrium framework to... View Details
- August 2023 (Revised December 2023)
- Case
Automating Morality: Ethics for Intelligent Machines
By: Joseph L. Badaracco Jr. and Tom Quinn
As autonomy became a more significant part of modern life – most notably in autonomous vehicles (AVs), such as Teslas – ethical debates about whether and how to impart ethics to machines heated up. Utilitarians pointed out that autonomous vehicles crashed much less... View Details
Keywords: Cost vs Benefits; Judgments; Fairness; Moral Sensibility; Values and Beliefs; Cross-Cultural and Cross-Border Issues; Disruptive Innovation; Technology Adoption; Risk and Uncertainty; Cognition and Thinking; Technological Innovation; Auto Industry; Technology Industry; Africa; Asia; Europe; North and Central America; Oceania; South America
- August 2023
- Case
Stay or Go? Sarah Reynolds at Kensington Partners
By: David G. Fubini, Amr Seifeldin and Patrick Sanguineti
Sarah Reynolds, a Partner at the global Kensington Partners strategy consulting firm, has headed the firm's Telecommunications Group for a few years. Thanks to her stellar track record with clients, she has brought the group, and herself, a range of accolades and... View Details
- 2023
- Working Paper
How People Use Statistics
By: Pedro Bordalo, John J. Conlon, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We document two new facts about the distributions of answers in famous statistical problems: they are i) multi-modal and ii) unstable with respect to irrelevant changes in the problem. We offer a model in which, when solving a problem, people represent each hypothesis... View Details
- July 2023
- Article
Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts
By: Raghabendra P. KC, Vincent Mak and Elie Ofek
We study how payment decision timing—before versus after product delivery—influences consumer payment under pay-what-you-want pricing. We focus on situations where there is minimal change in consumer uncertainty regarding the product before versus after receiving it.... View Details
- 2023
- Working Paper
The Complexity of Economic Decisions
By: Xavier Gabaix and Thomas Graeber
We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
- 2023
- Article
Patriotic Capitalism, Geopolitics and the Boardroom: Should Directors Consider Devotion to Country When Making Decisions That Affect Their Companies?
- May–June 2023
- Article
Should Your Start-up Be For-profit or Nonprofit?: A Guide for Social Entrepreneurs
By: Cait Brumme and Brian Trelstad
Years ago the line between nonprofit and for-profit enterprises was clear, but that has changed. Nonprofits now offer products that compete with those of the best for-profits, and for-profits can deliver as much social value as charities. Despite the blurred... View Details
- June 2023
- Article
The Effect of Firms' Information Exposure on Safeguarding Employee Health: Evidence from COVID-19
By: Lisa Yao Liu and Shirley Lu
We show that information exposure through international business networks enables firms to take proactive measures that benefit employees and potentially the local community. Specifically, in the early days of COVID-19, firms that have business networks with China and... View Details
- June 2023
- Article
When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
As machine learning (ML) models are increasingly being employed to assist human decision
makers, it becomes critical to provide these decision makers with relevant inputs which can
help them decide if and how to incorporate model predictions into their decision... View Details
- May 2023
- Article
How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates
By: Caroline Le Pennec and Vincent Pons
We use two-round survey data from 62 elections in 10 countries since 1952 to study the formation of vote choice, beliefs, and policy preferences and assess how televised debates contribute to this process. Our data include 253,000 observations. We compare the... View Details
- May 2023
- Article
Political Ideology and International Capital Allocation
By: Elisabeth Kempf, Mancy Luo, Larissa Schäfer and Margarita Tsoutsoura
Does investors' political ideology shape international capital allocation? We provide evidence from two settings—syndicated corporate loans and equity mutual funds—to show ideological alignment with foreign governments affects the cross-border capital allocation by... View Details
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
- April 2023
- Case
Fizzy Fusion: When Data-Driven Decision Making Failed
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details
- April 2023
- Case
Ryan Serhant: Time Management for Repeatable Success (A)
By: Ashley Whillans and Hawken Lord
From an open-concept 90’s-style stone and wood cabin in Dublin, New Hampshire, Ryan Serhant reflected on his career as a real estate broker. As Ryan stared into the fireplace that featured prominently in the center of the house, he wondered whether the period of... View Details
- March 2023 (Revised June 2023)
- Teaching Note
Ransomware Attack at Springhill Medical Center
By: Suraj Srinivasan and Li-Kuan (Jason) Ni
Teaching Note for HBS Case No. 123-065. In July, 2019, Springhill Medical Center (“SMC”) in Mobile, Alabama fell prey to a malicious ransomware attack that crippled the hospital’s internal network systems and public-facing web page. While the hospital rushed to... View Details
Keywords: Disruption; Communication; Communication Strategy; Decision Making; Decision Choices and Conditions; Judgments; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governance Controls; Policy; Employees; News; Cybersecurity; Digital Strategy; Information Infrastructure; Information Management; Internet and the Web; Crisis Management; Business or Company Management; Resource Allocation; Risk Management; Negotiation Tactics; Failure; Business and Stakeholder Relations; Attitudes; Behavior; Perception; Reputation; Trust; Public Opinion; Social Issues; Health Industry; Alabama; United States
- March 2023
- Teaching Note
Ransomware Attack at Colonial Pipeline Company
By: Suraj Srinivasan and Li-Kuan Ni
Teaching Note for HBS Case No. 123-069. On the morning of May 7, 2021, Colonial Pipeline Company became aware that the company had been the victim of a malicious ransomware attack that had stolen and locked up company data. The extortionists demanded 75 bitcoins (worth... View Details
Keywords: Disruption; Communication; Communication Strategy; Decision Making; Decision Choices and Conditions; Judgments; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governance Controls; Policy; Employees; News; Cybersecurity; Digital Strategy; Information Infrastructure; Information Management; Internet and the Web; Crisis Management; Business or Company Management; Resource Allocation; Risk Management; Negotiation Tactics; Failure; Business and Stakeholder Relations; Attitudes; Behavior; Perception; Reputation; Trust; Public Opinion; Social Issues; Infrastructure; Distribution Industry; United States; Alabama
- March 2023
- Case
Ransomware Attack at Colonial Pipeline Company
By: Suraj Srinivasan and Li-Kuan Ni
On the morning of May 7, 2021, Colonial Pipeline Company became aware that the company had been the victim of a malicious ransomware attack that had stolen and locked up company data. The extortionists demanded 75 bitcoins (worth about $4.4 million at the time) in... View Details
Keywords: Disruption; Communication; Communication Strategy; Decision Making; Decision Choices and Conditions; Judgments; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governance Controls; Policy; Employees; News; Cybersecurity; Digital Strategy; Information Infrastructure; Information Management; Internet and the Web; Crisis Management; Business or Company Management; Resource Allocation; Risk Management; Negotiation Tactics; Failure; Business and Stakeholder Relations; Attitudes; Behavior; Perception; Reputation; Trust; Public Opinion; Social Issues; Infrastructure; Distribution Industry; United States; Alabama
- 2023
- Working Paper
Complexity and Time
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
We provide experimental evidence that core intertemporal choice anomalies -- including extreme short-run impatience, structural estimates of present bias, hyperbolicity and transitivity violations -- are driven by complexity rather than time or risk preferences. First,... View Details
- 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