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(1,081)
- People (3)
- News (326)
- Research (422)
- Events (12)
- Multimedia (27)
- Faculty Publications (244)
Show Results For
- All HBS Web
(1,081)
- People (3)
- News (326)
- Research (422)
- Events (12)
- Multimedia (27)
- Faculty Publications (244)
- 1 Jan 2007
- Conference Presentation
Language Proficiency as a Stigma in International Work
By: Tsedal Beyene
- November 2006
- Article
Strategies of Innovation and Imitation of Product Languages
By: Roberto Verganti
- 25 Jun 2019
- Blog Post
Learning the Language of Business and Science – The MS/MBA Biotechnology: Life Sciences Program
misalignments can lead to inefficiencies that waste money and slow the development of important treatments. While the science-business gap in biotechnology poses a significant challenge, it also presents an opportunity. Professionals who understand the View Details
- 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
- 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.
- May 2022
- Case
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Stefani Ruper
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 she accepted your resignation.” Heart... View Details
Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
- 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.
- 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.)
- 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
- 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.
- 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.
- 23 Sep 2020
- News
The Next Big Breakthrough in AI Will Be Around Language
Keywords: Artificial intelligence
- 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.
- 2025
- Working Paper
Partisan Corporate Speech
By: William Cassidy and Elisabeth Kempf
We construct a novel measure of partisan corporate speech using natural language
processing techniques and use it to establish three stylized facts. First, the volume
of partisan corporate speech has risen sharply between 2012 and 2022. Second, this
increase has... View Details
Keywords: Natural Language Processing; Perspective; Communication; Public Opinion; Business and Shareholder Relations; Trends
Cassidy, William, and Elisabeth Kempf. "Partisan Corporate Speech." Harvard Business School Working Paper, No. 05-056, May 2025.
- 2009
- Working Paper
Walking Through Jelly: Language Proficiency, Emotions, and Disrupted Collaboration in Global Work
By: Tsedal Beyene, Pamela J. Hinds and Catherine Durnell Cramton
In an ethnographic study comprised of interviews and concurrent observations of 145 globally distributed members of nine project teams of an organization, we found that uneven proficiency in English, the lingua franca, disrupted collaboration for both native and... View Details
Keywords: Spoken Communication; Interpersonal Communication; Globalized Firms and Management; Groups and Teams; Behavior; Emotions; Social and Collaborative Networks
Beyene, Tsedal, Pamela J. Hinds, and Catherine Durnell Cramton. "Walking Through Jelly: Language Proficiency, Emotions, and Disrupted Collaboration in Global Work." Harvard Business School Working Paper, No. 09-138, June 2009.