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- 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....
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Keywords:
Patient-reported Outcomes;
Value Based Health Care;
Health Care and Treatment;
Transformation;
Outcome or Result;
Organizational Change and Adaptation;
Performance Improvement;
Health Industry
Liu, Jason B., Robert S. Kaplan, David W. Bates, Mario O. Edelen, Rachel C. Sisodia, and Andrea L. Pusic. "Mass General Brigham’s Patient-Reported Outcomes Measurement System: A Decade of Learnings." NEJM Catalyst Innovations in Care Delivery 5, no. 7 (July 2024).
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets...
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Keywords:
Heterogeneous Treatment Effect;
Multi-task Learning;
Representation Learning;
Personalization;
Promotion;
Deep Learning;
Field Experiments;
Customer Focus and Relationships;
Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- 2024
- Working Paper
Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Frabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able...
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Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Frabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics." Harvard Business School Working Paper, No. 24-074, June 2024.
- 2024
- Working Paper
Winner Take All: Exploiting Asymmetry in Factorial Designs
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers and practitioners have embraced factorial experiments to simultaneously test multiple treatments, each with different levels. With the rise of technologies like Generative AI, factorial experimentation has become even more accessible: it is easier than ever...
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Keywords:
Factorial Designs;
Fisher Randomizations;
Rank Estimators;
Employer Interventions;
Causal Inference;
Mathematical Methods;
Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Winner Take All: Exploiting Asymmetry in Factorial Designs." Harvard Business School Working Paper, No. 24-075, June 2024.
- June 2024
- Article
Oral History and Business History in Emerging Markets
By: Geoffrey Jones
This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183...
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Jones, Geoffrey. "Oral History and Business History in Emerging Markets." Investigaciones de historia económica 20, no. 2 (June 2024): 1–4.
- May 2024
- Teaching Note
AI Wars
By: Andy Wu and Matt Higgins
Teaching Note for HBS Case No. 723-434. In 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI popularized over...
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Keywords:
AI
- May 2024
- Case
HarvEast
By: Jeremy Friedman and Natalie Kindred
In late 2023, Dmitry Skornyakov, CEO of Ukrainian agribusiness HarvEast, was navigating the turmoil caused by Russia’s invasion of Ukraine that began in 2014 and escalated into full-scale war in February 2022. Before the full-scale invasion, HarvEast managed 127,000...
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Keywords:
Plant-Based Agribusiness;
Goods and Commodities;
Natural Resources;
Food;
Problems and Challenges;
Adaptation;
Innovation and Management;
Crisis Management;
Logistics;
Supply Chain;
Risk and Uncertainty;
Loss;
Trust;
Human Needs;
War;
Agriculture and Agribusiness Industry;
Chile;
South America;
Latin America
- 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...
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Paulson, Elisabeth, and Michael W. Toffel. "Market by Met Council: Revolutionizing Food Pantries in the Digital Age." Harvard Business School Case 624-060, May 2024. (Revised May 2024.)
- April 2024 (Revised May 2024)
- Case
Anthropic: Building Safe AI
By: Shikhar Ghosh and Shweta Bagai
In March 2024, Anthropic, a leading AI safety and research company, made headlines with the launch of Claude 3, its most advanced AI model. This marked Anthropic’s bold entry into the multimodal GenAI domain, showcasing capabilities extending to both image and text...
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Ghosh, Shikhar, and Shweta Bagai. "Anthropic: Building Safe AI." Harvard Business School Case 824-129, April 2024. (Revised May 2024.)
- 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,...
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Shelef, Orie, Rebecca Karp, and Robert Wuebker. "Business Experiments as Persuasion." Harvard Business School Working Paper, No. 24-065, March 2024.
- April 2024
- Case
Unleashing Human Magic at Best Buy
By: Leonard A. Schlesinger, Sunil Gupta and Amram Migdal
The case examines the transformation of Best Buy under CEO Hubert Joly's leadership from 2012. Facing significant business challenges, including competition from online and physical retailers, Joly implemented the "Renew Blue" turnaround strategy, which focused on...
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Keywords:
Change;
Change Management;
Transformation;
Transition;
Communication Intention and Meaning;
Communication Strategy;
Customer Focus and Relationships;
Customers;
Health;
Digital Transformation;
Digital Strategy;
Job Cuts and Outsourcing;
Labor;
Leadership;
Leadership Development;
Leadership Style;
Leading Change;
Management;
Management Practices and Processes;
Management Style;
Business or Company Management;
Crisis Management;
Mission and Purpose;
Organizational Change and Adaptation;
Organizational Culture;
Outcome or Result;
Failure;
Success;
Personal Development and Career;
Strategy;
Strategic Planning;
Adaptation;
Competition;
Retail Industry;
Minneapolis;
Minnesota;
United States
Schlesinger, Leonard A., Sunil Gupta, and Amram Migdal. "Unleashing Human Magic at Best Buy." Harvard Business School Case 524-072, April 2024.
- April 2024
- Case
Cyrus: Turning a Traditional Business Model On Its Head (A)
By: James Heskett
The loss of the lease at their Michelin-starred Cyrus 1.0 in Sonoma County, California gives the partners an opportunity to shut down and rework a “broken” business model, one with labor intensive experiences six or seven nights a week, high burnout, high...
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Heskett, James. "Cyrus: Turning a Traditional Business Model On Its Head (A)." Harvard Business School Case 924-303, April 2024.
- April 3, 2024
- Article
How Automakers Can Address Resistance to Self-Driving Cars
By: Stuti Agarwal, Julian De Freitas and Carey K. Morewedge
Research involving multiple experiments found that consumers have biased views of their driving abilities relative to those of other drivers and automated vehicles. These findings have implications for the adoption of partly or fully automated vehicles, which one day...
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Keywords:
Technology Adoption;
Consumer Behavior;
Government Legislation;
Prejudice and Bias;
Auto Industry;
Technology Industry
Agarwal, Stuti, Julian De Freitas, and Carey K. Morewedge. "How Automakers Can Address Resistance to Self-Driving Cars." Harvard Business Review (website) (April 3, 2024).
- Spring 2024
- Article
One Aspirational Future for India’s Higher Education Sector
By: Tarun Khanna
Several recent encouraging experiments in Indian higher education suggest a plausible aspirational path toward a more salubrious future than that suggested by an otherwise struggling system. Four case studies of privately conceived and funded universities each exhibit...
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Khanna, Tarun. "One Aspirational Future for India’s Higher Education Sector." Daedalus 153, no. 2 (Spring 2024): 149–166.
- April 2024
- Article
Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior
By: Raymond Kluender
Pay-as-you-go contracts reduce minimum purchase requirements which may increase market participation. We randomize the introduction and price(s) of a novel pay-as-you-go contract to the California auto insurance market where 17 percent of drivers are uninsured. The...
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Kluender, Raymond. "Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior." Review of Financial Studies 37, no. 4 (April 2024): 1118–1148.
- 2024
- Working Paper
The Effects of Medical Debt Relief: Evidence from Two Randomized Experiments
By: Raymond Kluender, Neale Mahoney, Francis Wong and Wesley Yin
Two in five Americans have medical debt, nearly half of whom owe at least $2,500. Concerned by this burden, governments and private donors have undertaken large, high-profile efforts to relieve medical debt. We partnered with RIP Medical Debt to conduct two randomized...
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Kluender, Raymond, Neale Mahoney, Francis Wong, and Wesley Yin. "The Effects of Medical Debt Relief: Evidence from Two Randomized Experiments." NBER Working Paper Series, No. 32315, April 2024.
- 2024
- Working Paper
Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Novel Ideas
By: Jacqueline N. Lane, Tianxi Cai, Michael Menietti, Griffin Weber and Eva C. Guinan
Evaluation of novel projects is essential for scientific and technological advancement. However,
evaluator bias toward a project’s potential can obscure its limitations. This study investigates
evaluation formats by contrasting combined assessments of novelty and...
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Lane, Jacqueline N., Tianxi Cai, Michael Menietti, Griffin Weber, and Eva C. Guinan. "Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Novel Ideas." Harvard Business School Working Paper, No. 24-064, March 2024.
- 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...
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Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- 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...
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Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- 2024
- Working Paper
Design of Panel Experiments with Spatial and Temporal Interference
By: Tu Ni, Iavor Bojinov and Jinglong Zhao
One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time...
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Keywords:
Research
Ni, Tu, Iavor Bojinov, and Jinglong Zhao. "Design of Panel Experiments with Spatial and Temporal Interference." Harvard Business School Working Paper, No. 24-058, March 2024.