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- All HBS Web
(7,785)
- Faculty Publications (2,655)
- 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
Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 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
Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 2024
- Working Paper
The Uneven Impact of Generative AI on Entrepreneurial Performance
By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
- 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
Bhalla, Usha, Suraj Srinivas, and Himabindu Lakkaraju. "Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- November 2023 (Revised August 2024)
- Background Note
Life Cycle Assessment: An Overview
By: Willy C. Shih, Michael W. Toffel and Kelsey Carter
Life cycle assessment (LCA) is a holistic approach to quantifying the environmental impacts—including resources consumed and wastes produced—associated with the entire life cycle of a product, from the production or extraction of the raw materials used in its creation,... View Details
Keywords: Life-cycle; Environmental Performance; Design; Environmental Management; Environmental Sustainability; Climate Change; Measurement and Metrics; Standards; Accounting; Environmental Accounting
Shih, Willy C., Michael W. Toffel, and Kelsey Carter. "Life Cycle Assessment: An Overview." Harvard Business School Background Note 624-052, November 2023. (Revised August 2024.)
- November 2023 (Revised December 2023)
- Background Note
Talent Incubator Rankings
By: Boris Groysberg and Sarah L. Abbott
In 2023, The Official Board surveyed 853 executives on the topic of talent incubators/academy companies. Executives were asked to list the top three academy companies within their function, industry, and country. They were also asked: what practices differentiate these... View Details
Keywords: Talent Development And Retention; Hiring; Performance Management; Human Resource Management; Human Capital; Human Resources; Performance; Talent and Talent Management; Organizational Culture
Groysberg, Boris, and Sarah L. Abbott. "Talent Incubator Rankings." Harvard Business School Background Note 424-038, November 2023. (Revised December 2023.)
- November–December 2023
- Article
Iterative Coordination and Innovation: Prioritizing Value over Novelty
By: Sourobh Ghosh and Andy Wu
An innovating organization faces the challenge of how to prioritize distinct goals of novelty and value, both of which underlie innovation. Popular practitioner frameworks like Agile management suggest that organizations can adopt an iterative approach of frequent... View Details
Keywords: Innovation; Novelty; Goals; Specialization; Coordination; Field Experiment; Software Development; Agile; Scrum; Iteration; Iterative; Organizations; Innovation and Invention; Value; Goals and Objectives; Integration; Applications and Software
Ghosh, Sourobh, and Andy Wu. "Iterative Coordination and Innovation: Prioritizing Value over Novelty." Organization Science 34, no. 6 (November–December 2023): 2182–2206.
- 2023
- Working Paper
The Optimal Stock Valuation Ratio
By: Sebastian Hillenbrand and Odhrain McCarthy
Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted... View Details
Keywords: Price; Investment Return; AI and Machine Learning; Valuation; Cash Flow; Forecasting and Prediction
Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
- October 2023
- Case
Making Progress at Progress Software (A)
By: Katherine Coffman, Hannah Riley Bowles and Alexis Lefort
In this case, the Human Capital team at Progress Software has identified that some employees have a hard time understanding how to advance within Progress. This realization leads the team to develop several major people-process innovations: the introduction of... View Details
Keywords: Leading Change; Organizational Culture; Performance Evaluation; Prejudice and Bias; Personal Development and Career; Human Capital; Employee Relationship Management; Technology Industry; Bulgaria
Coffman, Katherine, Hannah Riley Bowles, and Alexis Lefort. "Making Progress at Progress Software (A)." Harvard Business School Case 924-010, October 2023.
- October 10, 2023
- Article
10 Reasons Why Inclusion Is a Competitive Advantage
By: Frances X. Frei and Anne Morriss
In their new book, Move Fast and Fix Things, Frances Frei and Anne Morriss outline five strategies to help leaders tackle their hardest problems and quickly make change. Their third strategy is creating an inclusive environment that allows all employees to... View Details
Keywords: Business or Company Management; Organizational Change and Adaptation; Performance Improvement
Frei, Frances X., and Anne Morriss. "10 Reasons Why Inclusion Is a Competitive Advantage." Harvard Business Review (website) (October 10, 2023).
- October 2023
- Supplement
Making Progress at Progress Software (B)
By: Katherine Coffman, Hannah Riley Bowles and Alexis Lefort
In this case, the Human Capital team at Progress Software has identified that some employees have a hard time understanding how to advance within Progress. This realization leads the team to develop several major people-process innovations: the introduction of... View Details
Keywords: Leading Change; Negotiation; Organizational Culture; Performance Evaluation; Prejudice and Bias; Talent and Talent Management; Employees; Technology Industry; United States; Bulgaria
Coffman, Katherine, Hannah Riley Bowles, and Alexis Lefort. "Making Progress at Progress Software (B)." Harvard Business School Supplement 924-011, October 2023.
- October 2023 (Revised February 2024)
- Case
Loris
By: Shunyuan Zhang, Das Narayandas, Stacy Straaberg and David Lane
In December 2022, Loris’s executive team considered their go-to-market strategy. Loris was an artificial intelligence (AI) software startup for the customer service industry with two products on the market: 1) Agent Assist which provided customer service agents (CSAs)... View Details
- 2025
- Working Paper
Bringing Science to Market: Knowledge Foundations, Inventor-Founders, and Performance
By: Justine Boudou and Maria Roche
In this paper, we examine how a startup’s knowledge foundations—embedded in its
core technology—influence its performance in the exit market. Using a dataset of 1,006
biomedicine startups founded between 2005 and 2015, we focus on two key factors: (1)
the degree of... View Details
Keywords: Firm Performance; Knowledge Foundations; Exits; Academic Startups; Inventor-founder; Specialized Scientific Knowledge; Competitive Advantage; Value Creation; Research; Information Publishing; Business Startups; Entrepreneurship
Boudou, Justine, and Maria Roche. "Bringing Science to Market: Knowledge Foundations, Inventor-Founders, and Performance." Harvard Business School Working Paper, No. 24-021, October 2023. (Revised February 2025.)
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is... View Details
Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
- 2023
- Book
Move Fast and Fix Things: The Trusted Leader's Guide to Solving Hard Problems
By: Frances X. Frei and Anne Morriss
Speed has gotten a bad name in business, much of it deserved. When Facebook made "Move fast and break things" an informal company motto, it fueled a widely held belief that we can either make progress or take care of people, one or the other. That a certain amount of... View Details
Keywords: Leading Change; Performance Improvement; Problems and Challenges; Organizational Change and Adaptation; Organizational Culture
Frei, Frances X., and Anne Morriss. Move Fast and Fix Things: The Trusted Leader's Guide to Solving Hard Problems. Harvard Business Review Press, 2023.
- 2025
- Working Paper
The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling
By: Caleb Kwon, Antonio Moreno and Ananth Raman
Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, January 2025.
- September 2023 (Revised September 2023)
- Teaching Note
Roche: Innovation and Access to Healthcare
By: George Serafeim
Teaching Note for HBS Case No. 123-075. In May 2022, Roche Group, one of the largest healthcare companies in the world, hosted its first investor event focused exclusively on its efforts to impact access to healthcare. While Roche had recently set an ambitious goal to... View Details
- September 2023 (Revised September 2024)
- Technical Note
Measuring and Managing Social Impact
By: Brian Trelstad, Gerald Chertavian and Susan Pinckney
A brief overview of how to measure social impact at nonprofits, social organizations, and impact investments. View Details
Keywords: Analysis; Change; Transformation; Decision Making; Cost vs Benefits; Decision Choices and Conditions; Decisions; Forecasting and Prediction; Public Sector; Entrepreneurship; Social Entrepreneurship; Fairness; Entrepreneurial Finance; Governance; Governing and Advisory Boards; Policy; Innovation and Management; Knowledge Acquisition; Knowledge Use and Leverage; Goals and Objectives; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Resource Allocation; Measurement and Metrics; Standards; Strength and Weakness; Mission and Purpose; Success; Performance; Performance Evaluation; Philanthropy and Charitable Giving; Strategic Planning; Programs; Risk and Uncertainty; Social Enterprise; Non-Governmental Organizations; Social Issues; United States
Trelstad, Brian, Gerald Chertavian, and Susan Pinckney. "Measuring and Managing Social Impact." Harvard Business School Technical Note 324-017, September 2023. (Revised September 2024.)
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- September 2023 (Revised October 2024)
- Case
Forecasting Climate Risks: Aviva’s Climate Calculus
By: Mark Egan and Peter Tufano
In late 2021, Ben Carr, Director of Analytics and Capital Modeling at Aviva Plc (Aviva)—a leading insurer with core operations in the UK, Ireland and Canada,—was preparing for an upcoming presentation before the company's board which included its CEO, Amanda Blanc,... View Details
Keywords: Climate Risk; Climate Finance; Forecasting; Insurance; Risk Measurement; Climate Change; Risk Management; Forecasting and Prediction; Insurance Industry; United States
Egan, Mark, and Peter Tufano. "Forecasting Climate Risks: Aviva’s Climate Calculus." Harvard Business School Case 224-025, September 2023. (Revised October 2024.)