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June 2024 (Revised August 2024)
Case

Hospital for Special Surgery: Returning to a New Normal? (A)

By: Robert S. Huckman, Michael Lingzhi Li and Camille Gregory

Early on the morning of April 27, 2020, Justin Oppenheimer stood outside the entrance to the lobby of the Hospital for Special Surgery (HSS) Pavilion Building with mixed emotions. On one hand, Oppenheimer, HSS’ Enterprise Chief Operating Officer and Chief Strategy... View Details

Keywords: Operations Management; Scheduling; Optimization; COVID-19; Health Care and Treatment; Operations; Customer Focus and Relationships; Disruption; Health Industry; United States

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

May 2024
Case

Pernod Ricard: Uncorking Digital Transformation

By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney

This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details

Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe

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
Case

Biomanufacturing Decentralization by Stämm

By: Paul A. Gompers, Jenyfeer Martínez Buitrago and Mariana Cal

In Buenos Aires, Argentina, cousins Llamazares and D’Alvia founded Stämm, a startup based on the idea of decentralizing biomanufacturing processes and downsizing biotech facilities. After raising its seed and series A rounds, and while finalizing its series B round in... View Details

Keywords: Business Model; Business Startups; Entrepreneurship; Venture Capital; Selection and Staffing; Technological Innovation; Science-Based Business; Business Strategy; Commercialization; Growth and Development Strategy; Product Launch; Research and Development; Biotechnology Industry; Latin America; South America; Argentina; Buenos Aires

March 2024
Case

From 'BIG' Ideas to Sustainable Impact at ICL Group (A)

By: Linda A. Hill and Lydia Begag

In the summer of 2023, Eduard (“Eddie”) Croitoru, Vice President (VP) of ICL Group (“ICL”) Corporate Initiatives, was reflecting on ICL’s internal ideation program, the Business Innovation for Growth (BIG) Accelerator. When Raviv Zoller became the CEO of ICL in 2018,... View Details

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
Teaching Note

CoPilot(s): Generative AI at Microsoft and GitHub

By: Frank Nagle and Maria P. Roche

This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details

Keywords: Mergers and Acquisitions; AI and Machine Learning; Applications and Software; Technological Innovation; Product Launch; Open Source Distribution; Product Development; Commercialization; Competition; Resource Allocation; Technology Industry

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

2024
Case

Christiana Figueres and the Paris Climate Negotiations (A)

By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian

This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change... View Details

Keywords: Climate Change; Negotiation; Environmental Regulation; International Relations; Leadership

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2024
Case

Christiana Figueres and the Paris Climate Negotiations (B)

By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian

This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change... View Details

Keywords: Climate Change; Negotiation; Environmental Regulation; International Relations; Leadership

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2024
Case

Christiana Figueres and the Paris Climate Negotiations: Figueres the Negotiator (C)

By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian

This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change... View Details

Keywords: Climate Change; Negotiation; Environmental Management; International Relations; Leadership

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2023
Working Paper

Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach

By: Ta-Wei Huang and Eva Ascarza

Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes by utilizing individual-level data from experiments. A key element of this process is the estimation of Conditional Average Treatment Effects (CATE), which... View Details

Keywords: Analytics and Data Science; Consumer Behavior; Marketing

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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December 2023
Article

Self-Orienting in Human and Machine Learning

By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman

A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details

Keywords: AI and Machine Learning; Behavior; Learning

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December 2023
Article

When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments

By: Christian Kaps, Simone Marinesi and Serguei Netessine

Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details

Keywords: Energy; Renewable Energy

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 2023
Case

Will Fintechs and Central Banks Play in Emtech's Sandbox?

By: Daniel Isenberg and William R. Kerr

In February 2023, Emtech’s founder Carmelle Cadet is facing a dilemma. Rapidly running out of cash, Cadet has a term sheet from a leading VC but has a choice of how to structure the investment. The decision will have significant implications for Cadet’s own stake, as... View Details

Keywords: Cryptocurrency; Business Startups; Venture Capital; Cash Flow; Currency; Governing Rules, Regulations, and Reforms; Digital Platforms

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