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- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
- February 2025
- Article
Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery
By: Jacob C. Jameson, Soroush Saghafian, Robert S. Huckman and Nicole Hodgson
Objectives: To examine heterogeneity in physician batch ordering practices and measure the impact of a physician's tendency to batch order imaging tests on patient outcomes and resource utilization.
Study Setting and Design: In this retrospective study, we used... View Details
Study Setting and Design: In this retrospective study, we used... View Details
- January 2025
- Case
Less Is More: Will Aldi's Expansion Plans Pay Off in a Crowded U.S. Grocery Market?
By: David Collis and Haisley Wert
In 2024, the discount grocery retailer Aldi announced bold U.S. expansion plans. Within five years, the German company would increase its store count by 30% to reach 3,200+ stores across the United States and approach becoming the fifth largest grocery retailer in the... View Details
- November 2024
- Article
The Health Costs of Cost Sharing
By: Amitabh Chandra, Evan Flack and Ziad Obermeyer
What happens when patients suddenly stop their medications? We study the health consequences of drug interruptions caused by large, abrupt, and arbitrary changes in price. Medicare’s prescription drug benefit as-if-randomly assigns 65-year-olds a drug budget as a... View Details
- September 2024
- Case
The Health Equity Accelerator at Boston Medical Center
By: Susanna Gallani, Mary Witkowski and Katie Sonnefeldt
This case describes how Boston Medical Center, a hospital and safety net organization, changed its strategic approach to health equity after realizing that previous efforts were not sufficient to address the health disparities among their patients. In 2021, the Health... View Details
Keywords: Health Care and Treatment; Health Disorders; Innovation and Management; Innovation Leadership; Innovation Strategy; Adaptation; Business Strategy; Mission and Purpose; Decisions; Organizational Change and Adaptation; Organizational Structure; Diversity; Race; Ethnicity; Urban Scope; Local Range; Equality and Inequality; Health Industry; Boston
- September 2024
- Case
Barbie: Reviving a Cultural Icon at Mattel (Abridged)
The 2023 release of live-action film Barbie, and its accompanying marketing blitz, incited a worldwide Barbie craze. Suddenly Barbie was everywhere, a celebrated icon reinstated at the forefront of cultural conversation. This goodwill stood in contrast to decades of... View Details
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can... View Details
- August 2024
- Background Note
Your True Moral Compass
This note explores the concept of a "moral compass" for making difficult decisions in leadership roles. It argues that the standard view of a moral compass as a simple, internal guide is inadequate for complex situations. Instead, it proposes that our true moral... View Details
- August 2024 (Revised January 2025)
- Case
Barbie: Reviving a Cultural Icon at Mattel
The 2023 release of live-action film Barbie, and its accompanying marketing blitz, incited a worldwide Barbie craze. Suddenly Barbie was everywhere, a celebrated icon reinstated at the forefront of cultural conversation. This goodwill stood in contrast to decades of... View Details
- 2024
- Working Paper
The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations
By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
- August 2024
- Case
Circle: Reinventing the Future of Money
By: Shikhar Ghosh and Shweta Bagai
In early 2024, Circle Internet Financial's leadership team gathered to discuss the company's strategic path as it prepared for an IPO. Founded in 2013 by Jeremy Allaire, Circle had emerged as a pioneer in digital finance through its USD Coin (USDC), a regulated... View Details
- July–August 2024
- Article
Disclosing Downstream Emissions
By: Robert S. Kaplan and Karthik Ramanna
An increasing number of companies are using the E-liability carbon-accounting method as an important tool for tracking progress toward reducing global emissions in their supply chains. The system does not require formal accounting for downstream emissions—those... View Details
- June 2024 (Revised October 2024)
- Background Note
Politics Comes to ESG Investing
By: Shawn Cole and Jonah Zahnd
While the past decade has seen a dramatic increase in the incorporation of Environmental, Social and Governance (ESG) standards into investor practices, this momentum has shifted recently in the United States, as some politicians argued that ESG investing practices... View Details
- July 2024
- Article
Mass General Brigham’s Patient-Reported Outcomes Measurement System: A Decade of Learnings
By: Jason B. Liu, Robert S. Kaplan, David W. Bates, Mario O. Edelen, Rachel C. Sisodia and Andrea L. Pusic
This article describes the strategies that leaders at the Mass General Brigham (MGB) health system have used in launching a standardized patient-reported outcome measure (PROM) collection program in 2012, a major step in the value-based transformation of health care.... View Details
- May 2024 (Revised June 2024)
- Case
Together for Sustainability
This case documents the origin and development of Together for Sustainability (TfS), a chemical industry initiative dedicated to raising sustainability standards throughout the industry’s supply chains. In 2011, six Chief Procurement Officers (CPOs) from some of the... View Details
- May 2024 (Revised May 2024)
- Case
Market by Met Council: Revolutionizing Food Pantries in the Digital Age
By: Elisabeth Paulson and Michael W. Toffel
In fall 2023, the Food Program of Met Council—America’s largest Jewish charity dedicated to fighting poverty—completed the rollout of the newest version of its digital pantry platform to twelve food pantries in the Met Council food pantry network. The digital... View Details
- April 2024 (Revised August 2024)
- Teaching Note
Silicon Valley Bank: Gone in 36 Hours
Teaching Note for HBS Case No. 124-001. View Details
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details