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- 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...
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Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 2024.)
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety...
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Keywords:
Autonomy;
Chatbots;
New Technology;
Brand Crises;
Mental Health;
Large Language Model;
AI and Machine Learning;
Behavior;
Well-being;
Technological Innovation;
Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
- June 2024 (Revised September 2024)
- Case
Driving Scale with Otto
By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales...
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Keywords:
Artificial Intelligence;
Natural Language Processing;
B2B;
B2B Innovation;
Scaling;
Scaling Tech Ventures;
Business Startups;
AI and Machine Learning;
Finance;
Sales;
Business Strategy;
Growth and Development Strategy;
Entrepreneurship;
Information Technology Industry;
United States;
Cambridge;
New York (city, NY);
Spain
Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale with Otto." Harvard Business School Case 724-407, June 2024. (Revised September 2024.)
- March 2024
- Case
From 'BIG' Ideas to Sustainable Impact at ICL Group (A)
By: Linda A. Hill and Lydia Begag
In the summer of 2023, Eduard (“Eddie”) Croitoru, Vice President (VP) of ICL Group (“ICL”) Corporate Initiatives, was reflecting on ICL’s internal ideation program, the Business Innovation for Growth (BIG) Accelerator. When Raviv Zoller became the CEO of ICL in 2018,...
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Keywords:
Change Management;
Agribusiness;
Accounting;
Communication;
Renewable Energy;
Chemicals;
Machinery and Machining;
Metals and Minerals;
Mining;
Social Entrepreneurship;
Corporate Entrepreneurship;
Values and Beliefs;
Environmental Sustainability;
Natural Resources;
Globalization;
Information Technology;
Collaborative Innovation and Invention;
Leadership;
Organizational Culture;
Personal Development and Career;
Talent and Talent Management;
Manufacturing Industry;
Agriculture and Agribusiness Industry;
Chemical Industry;
Israel;
China;
United States
Hill, Linda A., and Lydia Begag. "From 'BIG' Ideas to Sustainable Impact at ICL Group (A)." Harvard Business School Case 424-042, March 2024.
- 2024
- Working Paper
The Value of Open Source Software
By: Manuel Hoffmann, Frank Nagle and Yanuo Zhou
The value of a non-pecuniary (free) product is inherently difficult to assess. A pervasive
example is open source software (OSS), a global public good that plays a vital role in the economy
and is foundational for most technology we use today. However, it is...
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Hoffmann, Manuel, Frank Nagle, and Yanuo Zhou. "The Value of Open Source Software." Harvard Business School Working Paper, No. 24-038, 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.
- November 2023
- Article
Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success
By: Yael Millgram, Matthew K. Nock, David D. Bailey and Amit Goldenberg
People’s ability to regulate emotions is crucial to healthy emotional functioning. One overlooked aspect in emotion-regulation research is that knowledge about the source of emotions can vary across situations and individuals, which could impact people’s ability to...
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Millgram, Yael, Matthew K. Nock, David D. Bailey, and Amit Goldenberg. "Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success." Psychological Science 34, no. 11 (November 2023): 1244–1255.
- 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...
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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...
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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).
- 2023
- Working Paper
Toward a Better Understanding of Open Ecosystems: Implications for Policymakers
By: Feng Zhu and Carmelo Cennamo
The digital realm is undergoing a significant transformation, marked by the emergence of platform
business models and the concept of open ecosystems. This paper delves into the intricate nature of
ecosystem openness, underscoring the point that the openness of...
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Zhu, Feng, and Carmelo Cennamo. "Toward a Better Understanding of Open Ecosystems: Implications for Policymakers." Working Paper, November 2023.
- 2023
- Working Paper
Deglobalization and Entrepreneurial Investment: The Natural Experiment of Brexit
By: Elisa Alvarez-Garrido and Juan Alcácer
We seek to gain insight into the consequences of deglobalization on entrepreneurial investment by
analyzing an instance of economic disintegration: the United Kingdom’s exit from the European Union.
Brexit is not only a unique empirical opportunity, a natural...
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Keywords:
Entrepreneurial Finance;
International Relations;
Trade;
Disruption;
Globalized Economies and Regions;
United Kingdom
Alvarez-Garrido, Elisa, and Juan Alcácer. "Deglobalization and Entrepreneurial Investment: The Natural Experiment of Brexit." Harvard Business School Working Paper, No. 24-017, August 2023.
- October 2023
- Case
Driving Sustainability at AB InBev
By: Ethan Rouen and Antonio Manuel Oftelie
It was the height of the summer in 2022, and Michel Doukeris, the CEO of Anheuser-Busch InBev (AB InBev), and Peter Kraemer, the company’s Chief Supply Officer, gazed across the vast desert surrounding Zacatecas, Mexico. They were visiting their Grupo Modelo Brewery,...
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Keywords:
Innovation;
Transformation;
Decisions;
Environmental Sustainability;
Leading Change;
Growth Management;
Business Model;
Food and Beverage Industry;
Mexico
Rouen, Ethan, and Antonio Manuel Oftelie. "Driving Sustainability at AB InBev." Harvard Business School Case 124-037, October 2023.
- 2024
- Working Paper
The Crowdless Future? Generative AI and Creative Problem Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy...
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Keywords:
Large Language Models;
Crowdsourcing;
Generative Ai;
Creative Problem-solving;
Organizational Search;
AI-in-the-loop;
Prompt Engineering;
AI and Machine Learning;
Innovation and Invention
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use...
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Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
- August 29, 2023
- Article
The Fragility of Artists’ Reputations from 1795 to 2020
By: Letian Zhang, Mitali Banerjee, Shinan Wang and Zhuoqiao Hong
This study explores the longevity of artistic reputation. We empirically examine whether artists are more- or less-venerated after their death. We construct a massive historical corpus spanning 1795 to 2020 and build separate word-embedding models for each five-year...
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Zhang, Letian, Mitali Banerjee, Shinan Wang, and Zhuoqiao Hong. "The Fragility of Artists’ Reputations from 1795 to 2020." Proceedings of the National Academy of Sciences 120, no. 35 (August 29, 2023).
- 2023
- Working Paper
Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate
By: Mengxia Zhang and Isamar Troncoso
3D virtual tours (VTs) have become a popular digital tool in real estate platforms, enabling potential buyers to virtually walk through the houses they search for online. In this paper, we study home sellers’ adoption of VTs and the VTs’ relative benefits compared to...
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Zhang, Mengxia, and Isamar Troncoso. "Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate." Harvard Business School Working Paper, No. 24-003, July 2023.
- July 2023
- Article
Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users
By: Jonas P. Schöne, David Garcia, Brian Parkinson and Amit Goldenberg
Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with...
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Schöne, Jonas P., David Garcia, Brian Parkinson, and Amit Goldenberg. "Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users." PNAS Nexus 2, no. 7 (July 2023).
- June 2023
- Teaching Note
Taiwan Semiconductor Manufacturing Company Limited: Global Leadership in Chipmaking
By: William C. Kirby and Noah B. Truwit
Teaching Note for HBS Case No. 321-126. The general purpose of this case is to explore the evolving nature of business relations across the Taiwan strait, focusing on the prominence of Taiwan's high-tech industry. After the legendary founder of Taiwan Semiconductor...
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- May 11, 2020
- Article
Steer Your Family Businesses Through an Unplanned Transition
By: Josh Baron and Nick Di Loreto
In a perfect world, family businesses will transition leadership from one generation to the next along a predictable and well-planned process — whether that’s determined within the business, the ownership group, or the family itself — passing the baton after years of...
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Baron, Josh, and Nick Di Loreto. "Steer Your Family Businesses Through an Unplanned Transition." Harvard Business Review (website) (May 11, 2020).
- 2023
- Working Paper
Operational Impact of Communication Channels: Evidence from Last-Mile Delivery Services
By: Natalie Epstein, Santiago Gallino and Antonio Moreno
Communication channels are often used to improve customer satisfaction and behavior. This paper studies
how they can be used to enhance operational performance.
We partner with a last-mile delivery company and, through natural and field experiments, explore... View Details
We partner with a last-mile delivery company and, through natural and field experiments, explore... View Details
Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "Operational Impact of Communication Channels: Evidence from Last-Mile Delivery Services." Working Paper, May 2023.