Optimal Mechanism Design - Publications - Faculty & Research - Harvard Business School

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November 2024 (Revised January 2025)
Case

Balancing Impact: Modeling the Future at British International Investment

By: Shawn Cole and Jonah Zahnd

In 2022, British International Investment (BII), the £8.1 billion development finance arm of the British government, implemented a new impact measurement system called the Impact Score to align its financial and impact objectives systematically. The tool was designed... View Details

Keywords: Investment Portfolio; Measurement and Metrics; Corporate Social Responsibility and Impact; Alignment; United Kingdom

Fall 2024
Article

Redemption Mechanisms in Poison Pills: Evidence on Pill Design and Law Firm Effects

By: Olivier Baum and Guhan Subramanian

We present the first evidence on the incidence of “trip wire” versus “last look” poison pills. Using a hand-collected data set of 130 poison pills implemented and/or amended between January 1, 2020 and March 31, 2023, we find that pills are almost evenly divided... View Details

Keywords: Acquisition; Negotiation Tactics; Contracts

2024
Working Paper

Primary Capital Market Transactions and Index Funds

By: Marco Sammon and Chris Murray

We document the effects of mechanical buying by CRSP-index-tracking funds on post-IPO returns and IPO deal structure. Leveraging a difference-in-differences-style design built on a 2017 CRSP rule change, we find that expected index fund demand leads fast track IPOs to... View Details

Keywords: Investment Funds; Initial Public Offering; Investment Return; Price; Market Transactions; Financial Markets

2024
Working Paper

Digital Platforms 2.0: Learnings, Opportunities, and Challenges

By: Shrabastee Banerjee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang and Bobby Zhou

Platform-based digital ecosystems form the backbone of our interactions with the Internet. Over the past decade, digital ecosystems have witnessed significant growth, both in terms of industry footprint and academic research. Yet, the challenges associated with their... View Details

Keywords: Digital Platforms; Technology Adoption; E-commerce; Market Design

July–August 2024
Article

Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

By: Ta-Wei Huang and Eva Ascarza

Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details

Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy

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2024
Working Paper

What Makes Players Pay? An Empirical Investigation of In-Game Lotteries

By: Tomomichi Amano and Andrey Simonov

In 2020, gamers spent more than $15 billion on loot boxes, lotteries of virtual items in video games. Paid loot boxes are contentious. Game producers argue that loot boxes complement the gameplay and expenditures on loot boxes reflect players’ enjoyment of the game.... View Details

Keywords: Consumer Behavior; Policy; Games, Gaming, and Gambling; Product Design; Ethics; Governing Rules, Regulations, and Reforms; Video Game Industry

2024
Working Paper

Advancing Personalization: How to Experiment, Learn & Optimize

By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer

Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details

Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning

June 2024
Article

Redistributive Allocation Mechanisms

By: Mohammad Akbarpour, Piotr Dworczak and Scott Duke Kominers

Many scarce public resources are allocated at below-market-clearing prices, and sometimes for free. Such "non-market" mechanisms sacrifice some surplus, yet they can potentially improve equity. We develop a model of mechanism design with redistributive concerns. Agents... View Details

Keywords: Equality and Inequality; Welfare; Mathematical Methods; Market Design; Cost vs Benefits

2024
Working Paper

Business Experiments as Persuasion

By: Orie Shelef, Rebecca Karp and Robert Wuebker

Much of the prior work on experimentation rests upon the assumption that entrepreneurs and managers use—or should optimally adopt—a "scientific approach" to test possible decisions before making them. This paper offers an alternative view of experimental strategy,... View Details

Keywords: Experimentation; Entrepreneurship; Strategy; Decision Making; Innovation Strategy

March 2024 (Revised January 2025)
Case

Hippo: Weathering the Storm of the Home Insurance Crisis

By: Lauren Cohen, Grace Headinger and Sophia Pan

Rick McCathron, CEO of Hippo, considered how the firm’s underwriting model could account for the effects of climate change. Along with providing smart home packages, targeting risk-friendly customers, and using data-driven pricing, the Insurtech used technologically... View Details

March 2024
Case

Unintended Consequences of Algorithmic Personalization

By: Eva Ascarza and Ayelet Israeli

“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details

Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States

February 2024
Article

An Economic Framework for Vaccine Prioritization

By: Mohammad Akbarpour, Eric Budish, Piotr Dworczak and Scott Duke Kominers

We propose an economic framework for determining the optimal allocation of a scarce supply of vaccines that become gradually available during a public health crisis, such as the Covid-19 pandemic. Agents differ in observable and unobservable characteristics, and the... View Details

Keywords: Vaccine; Fairness; Public Finance; Public Goods; Allocation Problems; Allocative Efficiency; Allocation Rules; Social Welfare; Pandemics; Inequality; COVID-19; COVID-19 Pandemic; Public Sector; Resource Allocation; Market Design; Marketplace Matching; Public Administration Industry

2024
Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift

By: Matthew DosSantos DiSorbo and Kris Ferreira

Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions

December 2023
Case

TikTok: The Algorithm Will See You Now

By: Shikhar Ghosh and Shweta Bagai

In a world where attention is a scarce commodity, this case explores the meteoric rise of TikTok—an app that transformed from a niche platform for teens into the most visited domain by 2021—surpassing even Google. Its algorithm was a sophisticated mechanism for... View Details

Keywords: Social Media; Applications and Software; Disruptive Innovation; Business and Government Relations; International Relations; Cybersecurity; Culture; Technology Industry; China; United States; India

November 2023
Article

Algorithmic Mechanism Design with Investment

By: Mohammad Akbarpour, Scott Duke Kominers, Kevin Michael Li, Shengwu Li and Paul Milgrom

We study the investment incentives created by truthful mechanisms that allocate resources using approximation algorithms. Some approximation algorithms guarantee nearly 100% of the optimal welfare, but have only a zero guarantee when one bidder can invest before... View Details

Keywords: Mechanism Design; Market Design; Auctions

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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

November–December 2023
Article

Network Centralization and Collective Adaptability to a Shifting Environment

By: Ethan S. Bernstein, Jesse C. Shore and Alice J. Jang

We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more... View Details

Keywords: Network Centralization; Collective Intelligence; Organizational Change and Adaptation; Organizational Structure; Communication; Decision Making; Networks; Adaptation

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October 2023
Article

Matching Mechanisms for Refugee Resettlement

By: David Delacrétaz, Scott Duke Kominers and Alexander Teytelboym

Current refugee resettlement processes account for neither the preferences of refugees nor the priorities of hosting communities. We introduce a new framework for matching with multidimensional knapsack constraints that captures the (possibly multidimensional) sizes of... View Details

Keywords: Refugee Resettlement; Matching; Matching Markets; Matching Platform; Matching With Contracts; Algorithms; Refugees; Market Design

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September–October 2023
Article

Interpretable Matrix Completion: A Discrete Optimization Approach

By: Dimitris Bertsimas and Michael Lingzhi Li

We consider the problem of matrix completion on an n × m matrix. We introduce the problem of interpretable matrix completion that aims to provide meaningful insights for the low-rank matrix using side information. We show that the problem can be... View Details

Keywords: Mathematical Methods

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July 2023
Article

Design and Analysis of Switchback Experiments

By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao

In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details

Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods

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