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- January 2024
- Background Note
Evaluating Innovations in the Organization of Primary Care: What Type of Innovation Is It and How Well Does It Align with the Six Factors?
By: Regina E. Herzlinger and James Wallace
How can we evaluate if innovative health care ventures can do good—benefit society—and do well—become financially viable? This question is the topic of the first module in the Innovating in Health Care course book.
This note and "Health Stop (A): What Type... View Details
This note and "Health Stop (A): What Type... View Details
- January 2024
- Case
Sprouts Farmers Market
By: Rajiv Lal, Forest L. Reinhardt and Natalie Kindred
Sprouts Farmers Markets (Sprouts) is a Phoenix, Arizona-based chain of 400-plus natural foods stores in 23 U.S. states and $6.4 billion in sales as of 2022. In its product assortment, brand image, and store environment, Sprouts emphasizes freshness, health, innovation,... View Details
- January 2024
- Article
A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder
By: Sarah E. Wakeman, Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe and Robert S. Kaplan
The US fee-for-service payment system under-reimburses clinics offering access to comprehensive treatments for opioid use disorder (OUD). The funding shortfall limits a clinic’s ability to expand and improve access, especially for socially marginalized patients with... View Details
- January 2024
- Article
Fencing Off Silicon Valley: Cross-Border Venture Capital and Technology Spillovers
By: Ufuk Akcigit, Sina T. Ates, Josh Lerner, Richard Townsend and Yulia Zhestkova
The treatment of foreign investors is a contentious topic in U.S. entrepreneurship policy. We
model a setting where foreign corporate investments in Silicon Valley may allow U.S. entrepreneurs to pursue technologies that they could not otherwise, but may also lead to... View Details
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
- January–February 2024
- Article
Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients... View Details
- 2024
- Working Paper
The Impact of Culture Consistency on Subunit Outcomes
By: Jasmijn Bol, Robert Grasser, Serena Loftus and Tatiana Sandino
We examine the association between subunit culture consistency—defined as the congruence between the organizational values espoused by top management and those perceived and practiced by subunit employees—and subunit outcomes. Using data from 235 subunits of a... View Details
- 2024
- Chapter
The Private Economy Under Party-State Capitalism
By: Margaret M. Pearson, Meg Rithmire and Kellee S. Tsai
This chapter addresses the evolution of China’s approach to the private sector from the early reform era until the beginning of Xi Jinping’s third term. It argues that China has evolved from a familiar form of state capitalism, in which economic growth is the primary... View Details
- December 2023
- Teaching Note
Buurtzorg
By: Ethan Bernstein and Tatiana Sandino
Teaching Note for HBS Case No. 122-101. As co-founders of home nursing company Buurtzorg, Jos de Blok and Gonnie Kronenberg prized both self-management and organizational learning. Buurtzorg’s 10,000 nurses across 950 neighborhood nursing teams in the Netherlands were... View Details
- 2025
- Working Paper
Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach
By: Ta-Wei Huang and Eva Ascarza
As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
- 2023
- Article
Balancing Risk and Reward: An Automated Phased Release Strategy
By: Yufan Li, Jialiang Mao and Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
- December 2023
- Article
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work
By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial... View Details
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
Keywords: AI and Machine Learning
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
- December 2023
- Article
Recover, Explore, Practice: The Transformative Potential of Sabbaticals
By: Kira Schabram, Matt Bloom and DJ DiDonna
Sabbaticals have seen an exponential growth in adoption over the last two decades and are ascribed extensive benefits by employers and employees alike. Little is known, however, about how individuals spend their time or how their experiences impact them after they... View Details
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
- November 22, 2023
- Article
Unifying Your Company Around a Moral Goal
By: Ranjay Gulati
In turbulent times, companies need a reliable anchor to guide decision-making. When organizations become moral communities, underpinned by purpose, they provide that stability for stakeholders as well as a reassuring sense of hope, solidarity, agency, and meaning.... View Details
- 2023
- Article
Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability
By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to... View Details