Publications
Publications
Show Results For
- All HBS Web
(1,904)
- Faculty Publications (459)
Optimism
→
- December 2021
- Article
Auctioneers Sometimes Prefer Entry Fees to Extra Bidders
By: Jiafeng Chen and Scott Duke Kominers
We investigate a market thickness–market power tradeoff in an auction setting with endogenous entry. We find that charging admission fees can sometimes dominate the benefit of recruiting additional bidders, even though the fees themselves implicitly reduce competition... View Details
- December 2021 (Revised May 2022)
- Case
Troverie (A)
By: Thomas R. Eisenmann, Lindsay N. Hyde and Olivia Graham
Six months after the August 2018 launch of Troverie, a U.S.-based online retailer of luxury watches, the average cost of acquiring a customer is much higher than originally projected, and the startup is incurring a substantial loss on each sales transaction. Could... View Details
- 2021
- Book
The Future of Executive Development
By: Mihnea C Moldoveanu and Das Narayandas
Executive development programs have entered a period of rapid transformation, driven by digital disruption and a widening gap between the skills that participants and their organizations demand and those provided by their executive programs. This work delves into the... View Details
- 2021
- Chapter
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen G. Mills and Annie Dang
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
- 2024
- Working Paper
Intrinsic Motivation and Referrals Within Firms: Evidence from a Large Microfinance Institution
By: Natalia Rigol and Benjamin N. Roth
Many organizations rely on internal referrals between employees with differing
comparative advantages. Yet when an employee encounters a lucrative opportunity,
they may be motivated to retain it even when doing so harms efficiency. We develop
a framework that... View Details
- September 2021
- Case
Francoise Brougher (A)
By: Edward H. Chang, Nour Kteily and Kathleen McGinn
Francoise Brougher was a high-powered technology executive in Silicon Valley. After successful stints at Google (where she rose to lead a $16 billion ad sales business) and Square (which she helped take public), she joined Pinterest as its first Chief Operating Officer... View Details
- September 2021
- Case
Worldreader: Helping Readers Build a Better World
By: Marco Bertini, Elie Ofek and Julia Kelley
Founded in 2010, Worldreader was an international nonprofit organization that promoted reading to children around the world. For many years, Worldreader distributed e-readers to under-resourced communities and funded its operations primarily through philanthropic... View Details
Keywords: Subscription Model; Price; Financial Strategy; Education; Early Childhood Education; Learning; Geography; Geographic Scope; Global Range; Goals and Objectives; Marketing; Marketing Strategy; Markets; Organizations; Mission and Purpose; Social Enterprise; Non-Governmental Organizations; Nonprofit Organizations; Society; Social Issues; Strategy; Commercialization; Expansion; Segmentation; Education Industry; Africa; Asia; Latin America; Europe; North and Central America; South America
- Article
A Cost Comparison of Cataract Surgeries in Three Countries—United States, India, and Nepal
By: Jiayin Xue, John Hinkle, Mary-Grace Reeves, Luo Luo Zheng, Vengadesan Natarajan, Shyam Vyas, Radhika Upreti Oli, Matt Oliva, Robert S. Kaplan, Arnold Milstein, Geoff Tabin, Jeffrey L. Goldberg and Kevin Schulman
U.S.-based cataract surgeries are costly compared with those performed in high-quality Indian and Nepalese eye centers. The authors used time-driven activity-based costing to evaluate phacoemulsification surgery across four sites: a U.S.-based academic hospital... View Details
- July 2021 (Revised October 2022)
- Background Note
Product Line Extensions: Optimal or Overdone?
By: Robert J. Dolan
- 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
- Article
Redistribution through Markets
By: Piotr Dworczak, Scott Duke Kominers and Mohammad Akbarpour
Policymakers frequently use price regulations as a response to inequality in the markets they control. In this paper, we examine the optimal structure of such policies from the perspective of mechanism design. We study a buyer-seller market in which agents have private... View Details
- 2021
- Article
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjamin B. Lockwood, Afras Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these... View Details
- 2021
- Article
To Thine Own Self Be True? Incentive Problems in Personalized Law
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
- May 2021
- Article
Preparing for a Pandemic: Accelerating Vaccine Availability
By: Amrita Ahuja, Susan Athey, Arthur Baker, Eric Budish, Juan Camilo Castillo, Rachel Glennerster, Scott Duke Kominers, Michael Kremer, Jean Lee, Canice Prendergast, Christopher M. Snyder, Alex Tabarrok, Brandon Joel Tan and Witold Wiecek
Vaccinating the world’s population quickly in a pandemic has enormous health and economic benefits. We analyze the problem faced by governments in determining the scale and structure of procurement for vaccines. We analyze alternative approaches to procurement, arguing... View Details
- 2021
- Article
Fair Influence Maximization: A Welfare Optimization Approach
By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
- Article
Look 'Outside the Building' for the Future of Leadership
The author discusses what she terms “outside the building” issues, such as climate change, pandemics, and racial/gender justice. These complex issues are “beyond the boundaries of single organizations.” As she writes, “I call this new leadership for the future... View Details
- March 2021 (Revised June 2021)
- Case
Scale and Scope at Drake Real Estate Partners
By: Christina R. Wing and David Lane
Realizing in early 2021 that their pending real estate investment fund would likely be oversubscribed, Drake Real Estate Partners co-founders Nicolás Ibáñez and David Cotterman were considering how best to continue to diversify their investor base and how to optimize... View Details
- March 2021
- Article
Assortment Rotation and the Value of Concealment
By: Kris J. Ferreira and Joel Goh
Assortment rotation—the retailing practice of changing the assortment of products offered to customers—has recently been used as a competitive advantage for both brick-and-mortar and online retailers. We focus on product categories where consumers may purchase multiple... View Details
- Mar 2021
- Conference Presentation
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both... View Details