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(1,076)
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Show Results For
- All HBS Web
(1,076)
- People (3)
- News (325)
- Research (418)
- Events (12)
- Multimedia (26)
- Faculty Publications (237)
- 23 Sep 2020
- News
The Next Big Breakthrough in AI Will Be Around Language
Keywords: Artificial intelligence
- May 2012
- Article
Global Business Speaks English: Why You Need a Language Strategy Now
By: Tsedal Neeley
Neeley, Tsedal. "Global Business Speaks English: Why You Need a Language Strategy Now." Harvard Business Review 90, no. 5 (May 2012): 116–124.
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- March 2013 (Revised April 2013)
- Supplement
Language and Globalization: 'Englishnization' at Rakuten: Results Are In! (B)
By: Tsedal Neeley
Neeley, Tsedal. "Language and Globalization: 'Englishnization' at Rakuten: Results Are In! (B)." Harvard Business School Supplement 413-090, March 2013. (Revised April 2013.)
- 22 Jan 2018
- News
When a Japanese Company Adopted English as a First Language
- 18 Sep 2006
- Research & Ideas
When Words Get in the Way: The Failure of Fiscal Language
labeling conventions—representing, in the words of the authors, "an exercise in linguistics, not economics." Like Einstein's General Theory of Relativity, which concluded that concepts like time and distance depend on one's reference point, current fiscal... View Details
Keywords: by Julia Hanna
- October 2024
- Technical Note
Prompt Engineering
By: Michael Parzen and Jo Ellery
This note covers the basics of prompt engineering, a key tool for making use of modern generative AI. We discuss the principles of prompt engineering and illustrate these principles with techniques for asking questions. We further list the types of prompts that can be... View Details
Parzen, Michael, and Jo Ellery. "Prompt Engineering." Harvard Business School Technical Note 625-056, October 2024.
- 2006
- Working Paper
Identity, Interpretation and Influence: Positive Community through Language among San Pedro Longshoremen
McGinn, Kathleen L. "Identity, Interpretation and Influence: Positive Community through Language among San Pedro Longshoremen." Harvard Business School Working Paper, No. 06-031, January 2006.
- 1 Jul 2010
- Conference Presentation
Language Matters: Lingua Franca Mandates and Status Hierarchies in Global Organizations
By: Tsedal Neeley
- 2022
- Working Paper
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh
As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between... View Details
Keywords: Natural Language Conversations; AI and Machine Learning; Experience and Expertise; Interactive Communication; Business and Stakeholder Relations
Lakkaraju, Himabindu, Dylan Slack, Yuxin Chen, Chenhao Tan, and Sameer Singh. "Rethinking Explainability as a Dialogue: A Practitioner's Perspective." Working Paper, 2022.
- October 3, 2012
- Blog Post
Tonight's Presidential Debate Will Be Decided by Body Language
By: Amy Cuddy
Keywords: Nonverbal Behavior; Persuasion; Influence; Public Speaking; Nonverbal Communication; Behavior; Debates; Power and Influence
Cuddy, Amy. "Tonight's Presidential Debate Will Be Decided by Body Language." Harvard Business Review Blogs (October 3, 2012). http://blogs.hbr.org/2012/10/tonights-presidential-debate-w/.
- 29 Sep 2006
- Conference Presentation
Walking through Jelly: Uneven Language Proficiency and Disrupted Collaboration
By: Tsedal Beyene
- 1 Feb 2010
- Conference Presentation
Language Mandates, Power & Emotions in Globally Distributed Teams
By: Tsedal Neeley
- 31 Aug 2022
- Podcast
Credly's Jonathan Finkelstein on the evolving language of skills
As work is recast in terms of skills and credentials, is the labor market awash in too much information? Credly's founder and CEO argues that more detail--verified and expressed in a standard taxonomy--can benefit both workers and employers. View Details
- October 2023
- Case
Fixie and Conversational AI Sidekicks
By: Jeffrey J. Bussgang and Carin-Isabel Knoop
In March 2023, Fixie Co-Founder and Chief Architect Matt Welsh and co-founders had the kind of meeting no founders want to have. The president of leading artificial intelligence (AI) research and deployment firm OpenAI, which had catapulted into fame with its ChatGPT... View Details
Keywords: Large Language Model; Entrepreneurship; Decision Choices and Conditions; AI and Machine Learning; Technological Innovation; Competitive Strategy; Technology Industry; United States
Bussgang, Jeffrey J., and Carin-Isabel Knoop. "Fixie and Conversational AI Sidekicks." Harvard Business School Case 824-037, October 2023.
- 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.
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details
- June 2025
- Article
Ideation with Generative AI—In Consumer Research and Beyond
By: Julian De Freitas, G. Nave and Stefano Puntoni
The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.