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  • All HBS Web  (1,081)
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    • News  (326)
    • Research  (422)
    • Events  (12)
    • Multimedia  (27)
  • Faculty Publications  (244)
← Page 6 of 1,081 Results →
  • 1 Jan 2007
  • Conference Presentation

Language Proficiency as a Stigma in International Work

By: Tsedal Beyene
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Beyene, Tsedal. "Language Proficiency as a Stigma in International Work." MIT Sloan School of Management, Cambridge, MA, January 1, 2007.
  • November 2006
  • Article

Strategies of Innovation and Imitation of Product Languages

By: Roberto Verganti
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Dell'Era, Claudio, and Roberto Verganti. "Strategies of Innovation and Imitation of Product Languages." Journal of Product Innovation Management 24, no. 6 (November 2006): 580–599.
  • 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
  • 01 Oct 2009
  • News

Outcome Measurement Language in March 2010 U.S. Health Care Legislation

  • March 2013 (Revised April 2013)
  • Supplement

Language and Globalization: 'Englishnization' at Rakuten: Results Are In! (B)

By: Tsedal Neeley
Keywords: Technology Industry; Retail Industry; Japan
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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
Keywords: Large Language Model; AI and Machine Learning
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Parzen, Michael, and Jo Ellery. "Prompt Engineering." Harvard Business School Technical Note 625-056, October 2024.
  • 22 May 2016
  • Video

2016 G&WS: Ellen Berrey Presents "The Enigma of Diversity: The Language of Race and the Limits of Racial Justice"

  • 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
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation
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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
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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
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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
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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
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry
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Neeley, Tsedal, and Tim Englehart. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Teaching Note 424-028, October 2023.
  • 2006
  • Working Paper

Identity, Interpretation and Influence: Positive Community through Language among San Pedro Longshoremen

By: Kathleen L. McGinn
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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
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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
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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
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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
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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.
  • 04 May 2012
  • News

Harvard Business Review: A language strategy is a must for global companies

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