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- July–August 2024
- Article
The Middle Path to Innovation
By: Regina E. Herzlinger, Duke Rohlen, Ben Creo and Will Kynes
Too many companies are failing to innovate. One reason, say the authors, is the polarized approach companies take to innovation. At one end of the spectrum, corporate R&D efforts tend to focus on product refreshes and incremental line upgrades that generate modest...
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Herzlinger, Regina E., Duke Rohlen, Ben Creo, and Will Kynes. "The Middle Path to Innovation." Harvard Business Review 102, no. 4 (July–August 2024): 134–145.
- 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.
- May 2024
- Background Note
Net Revenue Retention: Unpacking the Dynamics of Customer Monetization
By: Elie Ofek, Barak Libai and Eitan Muller
Firms and investors alike are beginning to recognize the importance of tracking how revenues from existing customers are evolving over time and to appreciate the value in understanding what might explain changes in these revenues. Consequently, in addition to looking...
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- May 2024
- Teaching Note
AI21 Labs in 2023: Strategy for Generative AI
By: David Yoffie
Tel Aviv-based generative artificial intelligence company AI21 Labs considers how to build a competitive advantage versus the biggest players in the technology and AI arena.
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- 2024
- Working Paper
Old Moats for New Models: Openness, Control, and Competition in Generative AI
By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj
Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated...
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Azoulay, Pierre, Joshua L. Krieger, and Abhishek Nagaraj. "Old Moats for New Models: Openness, Control, and Competition in Generative AI." NBER Working Paper Series, No. 7442, 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.)
- March–April 2024
- Article
Retailers and Health Systems Can Improve Care Together
By: Robert S. Huckman, Vivian S. Lee and Bradley R Staats
Health systems are struggling to address the many shortcomings of health care delivery: rapidly growing costs, inconsistent quality, and inadequate and unequal access to primary and other types of care. However, if retailers and health systems were to form strong...
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Keywords:
Health Care;
Retail;
Retailers;
Consumer;
Health Care and Treatment;
Value;
Consumer Behavior;
Business Model;
Partners and Partnerships;
Health Industry;
Retail Industry;
United States
Huckman, Robert S., Vivian S. Lee, and Bradley R Staats. "Retailers and Health Systems Can Improve Care Together." Harvard Business Review 102, no. 2 (March–April 2024): 120–127.
- March 2024 (Revised April 2024)
- Case
Angel City Football Club: Scoring a New Model
By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
In January 2024, Kara Nortman, Julie Uhrman, and Natalie Portman, the founders of Angel City Football Club (ACFC) were developing the club’s first three-year strategic plan. Founded in 2020, ACFC had a star-studded investor group, including Portman and celebrities such...
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Keywords:
Sports;
Entertainment;
Entrepreneurship;
Brands and Branding;
Innovation and Invention;
Venture Capital;
Sports Industry;
Entertainment and Recreation Industry;
United States;
California;
Los Angeles
Rayport, Jeffrey F., Jennifer Fonstad, and Nicole Tempest Keller. "Angel City Football Club: Scoring a New Model." Harvard Business School Case 824-192, March 2024. (Revised April 2024.)
- February 2024
- Case
Taffi: Entrepreneurship in Saudi Arabia
By: Paul A. Gompers and Fares Khrais
Taffi was a tech-enabled fashion styling startup founded by Shahad Geoffrey in Saudi Arabia in 2020. Within three years of operating, Geoferry had pivoted the business multiple times. In 2023, Geoferry was attempting the business’s most ambitious pivot yet, shifting...
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- February 2024 (Revised February 2024)
- Teaching Note
TimeCredit
Teaching Note for HBS Case No. 824-139. TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting...
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- February 2024
- Case
TimeCredit
TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting background, as she decides how much...
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Keywords:
Accounting;
Business Startups;
Entrepreneurship;
Financing and Loans;
AI and Machine Learning;
Entrepreneurial Finance;
Identity;
Technology Industry
Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Case 824-139, February 2024.
- February 2024 (Revised May 2024)
- Case
Can Families Conquer Private Equity? Pritzker Private Capital
By: Lauren Cohen and Sophia Pan
Anthony (Tony) Pritkzer, Paul Carbone, and the Pritzker Private Capital (PPC) team wondered how to approach the firm’s next phase of growth. PPC was a private equity firm that offered a differentiated approach to the family capital market. Back in 2016, the partners...
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Keywords:
Family Office;
External Financing;
Succession;
Leadership Transition;
Family Business;
Private Equity;
Investment;
Business Growth and Maturation;
Financial Strategy;
Investment Portfolio;
Business Model;
Private Sector;
Financial Liquidity;
Risk Management;
Organizational Structure;
Competitive Advantage;
Venture Capital;
Financial Services Industry;
Chicago;
Illinois;
United States
- February 2024
- Article
Representation and Extrapolation: Evidence from Clinical Trials
By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical
trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is
more relevant for decision-making by physicians and patients when it...
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Keywords:
Representation;
Racial Disparity;
Health Testing and Trials;
Race;
Equality and Inequality;
Innovation and Invention;
Pharmaceutical Industry
Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
- 2024
- Working Paper
Who Values Democracy?
By: Max Miller
This paper tests the conventional view that redistribution is central to the democratization process using data from stock markets. Consistent with this view, democratizations have a large, negative impact on asset valuations driven by a rise in redistribution risk....
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Keywords:
Government and Politics;
Risk and Uncertainty;
Financial Crisis;
Macroeconomics;
Financial Markets;
Valuation
Miller, Max. "Who Values Democracy?" Working Paper, February 2024. (Revise and Resubmit, Journal of Political Economy.)
- January 2024 (Revised May 2024)
- Case
Pioneer Natural Resources: Enhancing the Capital Return Strategy with Variable Dividends
In February 2021, Scott Sheffield, the CEO of Pioneer Natural Resources (an independent oil and gas company based in Texas), was considering the possibility of enhancing the firm’s capital return strategy by introducing a variable dividend tied to cash flows in...
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Keywords:
Corporate Finance;
Cash Flow;
Financial Management;
Financial Strategy;
Value Creation;
Decision Choices and Conditions;
Investment Return;
Profit;
Policy;
Business and Shareholder Relations;
Energy Industry;
United States;
North America;
Texas
Esty, Benjamin C., Elisabeth Kempf, and E. Scott Mayfield. "Pioneer Natural Resources: Enhancing the Capital Return Strategy with Variable Dividends." Harvard Business School Case 224-001, January 2024. (Revised May 2024.)
- 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
- Article
Investing with the Government: A Field Experiment in China
By: Emanuele Colonnelli, Bo Li and Ernest Liu
We study the demand for government participation in China’s venture capital and private equity market. We conduct a large-scale, non-deceptive field experiment in collaboration with the leading industry service provider, through which we survey both capital investors...
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Keywords:
Venture Capital;
Private Equity;
Business and Government Relations;
Entrepreneurship;
China
Colonnelli, Emanuele, Bo Li, and Ernest Liu. "Investing with the Government: A Field Experiment in China." Journal of Political Economy 132, no. 1 (January 2024): 248–294.
- January 2024
- Article
Population Interference in Panel Experiments
By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in...
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Han, Kevin Wu, Guillaume Basse, and Iavor Bojinov. "Population Interference in Panel Experiments." Journal of Econometrics 238, no. 1 (January 2024).
- 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...
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Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
- 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,...
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Keywords:
Large Language Model;
AI and Machine Learning;
Analytics and Data Science;
Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).