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(1,081)
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- Faculty Publications (244)
Show Results For
- All HBS Web
(1,081)
- People (3)
- News (326)
- Research (422)
- Events (12)
- Multimedia (27)
- Faculty Publications (244)
- 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.
- 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.
- January–February 2025
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
- 01 Sep 2017
- News
Ink: Miami’s Dark Neon Era, the Language of Success, and Getting Psyched Up
that nobody seems to remember. It is one of the most inspiring and influential books that I’ve ever read.” Excerpt “Language can affect every aspect of global organizational life. A lingua franca is the closest we have to the ‘tongues of fire’ that allow people to hear... View Details
- 2011
- Other Paper
From Global Language Mandate to Personal Transformation: How Employees Address The Performance Challenge
By: Tsedal Neeley and Boram Do
- Article
Conversational Receptiveness: Expressing Engagement with Opposing Views
By: M. Yeomans, J. Minson, H. Collins, H. Chen and F. Gino
We examine “conversational receptiveness”—the use of language to communicate one’s willingness to thoughtfully engage with opposing views. We develop an interpretable machine-learning algorithm to identify the linguistic profile of receptiveness (Studies 1A-B). We then... View Details
Keywords: Receptiveness; Natural Language Processing; Disagreement; Interpersonal Communication; Relationships; Conflict Management
Yeomans, M., J. Minson, H. Collins, H. Chen, and F. Gino. "Conversational Receptiveness: Expressing Engagement with Opposing Views." Organizational Behavior and Human Decision Processes 160 (September 2020): 131–148.
- 2020
- Working Paper
Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation
By: Michael Yeomans and Alison Wood Brooks
Although most humans engage in conversations constantly throughout their lives, conversational mistakes are commonplace— interacting with others is difficult, and conversation re-quires quick, relentless perspective-taking and decision making. For example: during every... View Details
Keywords: Natural Language Processing; Interpersonal Communication; Perspective; Decision Making; Perception
Yeomans, Michael, and Alison Wood Brooks. "Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation." Harvard Business School Working Paper, No. 20-077, February 2020.
- Article
Using Gen AI for Early-Stage Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by surveying... View Details
Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).
- 5 Aug 2005 - 10 Aug 2005
- Conference Presentation
Language Challenges in International Work: The Impact of Uneven Proficiency in the Lingua Franca
By: T. Beyene, P.J. Hinds and C. D. Cramton
- 2014
- Working Paper
Speaking of Corporate Social Responsibility
By: Hao Liang, Christopher Marquis, Luc Renneboog and Sunny Li Sun
We argue that the language spoken by corporate decision makers influences their firms' social responsibility and sustainability practices. Linguists suggest that obligatory future-time-reference (FTR) in a language reduces the psychological importance of the future.... View Details
Keywords: Language; Future-Time-Reference; Categories; Culture; Corporate Social Responsibility; Sustainability; Communication; Corporate Social Responsibility and Impact
Liang, Hao, Christopher Marquis, Luc Renneboog, and Sunny Li Sun. "Speaking of Corporate Social Responsibility." Harvard Business School Working Paper, No. 14-082, March 2014.
- 9 Aug 2010
- Conference Presentation
Global Language Strategies: The Impact of Mandating English as a Lingua Franca in Global Work
By: Tsedal Neeley
- December 2013 (Revised November 2015)
- Case
(Re)Building a Global Team: Tariq Khan at Tek
By: Tsedal Neeley
Tariq Khan arrived home after a nearly 16-hour meeting. He was grappling with whether to take the global sales and marketing team manager position that had been offered to him, and had spent the entire day with the senior leadership of his potential new team. He wanted... View Details
Keywords: Global Teams; Language; Personal Development and Career; Decision Making; Problems and Challenges
Neeley, Tsedal. "(Re)Building a Global Team: Tariq Khan at Tek." Harvard Business School Case 414-059, December 2013. (Revised November 2015.)
- June 2016
- Article
Understanding Online Hotel Reviews Through Automated Text Analysis
By: Shawn Mankad, Hyunjeong "Spring" Han, Joel Goh and Srinagesh Gavirneni
Customer reviews submitted at Internet travel portals are an important yet underexplored new resource in obtaining feedback on customer experience for the hospitality industry. These data are often voluminous and unstructured, presenting analytical challenges for... View Details
Keywords: Hotel Reviews; Natural Language Processing; Information Technology; Service Operations; Accommodations Industry; Moscow
Mankad, Shawn, Hyunjeong "Spring" Han, Joel Goh, and Srinagesh Gavirneni. "Understanding Online Hotel Reviews Through Automated Text Analysis." Service Science 8, no. 2 (June 2016): 124–138.
- 01 Sep 2021
- Podcast
80. From the Archives: Clayton Christensen On The Power of Good Theory and a Common Language
In honor of The Disruptive Voice's 80th episode, along with the start of the new academic year at Harvard Business School, we decided to re-release this recording from our archives. Originally released in September of 2016, Clay had invited some of his former Building... View Details
- August 2015 (Revised June 2016)
- Teaching Note
(Re)Building a Global Team: Tariq Khan at Tek
By: Tsedal Neeley
- July 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
- February 2021
- Article
Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning
By: Sooji Ha, Daniel J Marchetto, Sameer Dharur and Omar Isaac Asensio
The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a driver of adverse health effects globally. Increasingly, government policies have promoted the adoption of electric vehicles (EVs) as a solution to mitigate GHG emissions.... View Details
Keywords: Natural Language Processing; Analytics and Data Science; Environmental Sustainability; Infrastructure; Transportation; Policy
Ha, Sooji, Daniel J Marchetto, Sameer Dharur, and Omar Isaac Asensio. "Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning." Art. 100195. Patterns 2, no. 2 (February 2021).
- September 2017
- Article
It Doesn't Hurt to Ask: Question-asking Increases Liking
By: K. Huang, M. Yeomans, A.W. Brooks, J. Minson and F. Gino
Conversation is a fundamental human experience, one that is necessary to pursue intrapersonal and interpersonal goals across myriad contexts, relationships, and modes of communication. In the current research, we isolate the role of an understudied conversational... View Details
Keywords: Question-asking; Liking; Responsiveness; Conversation; Natural Language Processing; Interpersonal Communication; Behavior
Huang, K., M. Yeomans, A.W. Brooks, J. Minson, and F. Gino. "It Doesn't Hurt to Ask: Question-asking Increases Liking." Journal of Personality and Social Psychology 113, no. 3 (September 2017): 430–452.