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  • All HBS Web  (1,076)
    • People  (3)
    • News  (325)
    • Research  (418)
    • Events  (12)
    • Multimedia  (26)
  • Faculty Publications  (237)

Show Results For

  • All HBS Web  (1,076)
    • People  (3)
    • News  (325)
    • Research  (418)
    • Events  (12)
    • Multimedia  (26)
  • Faculty Publications  (237)
← Page 7 of 1,076 Results →
  • 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
Keywords: Natural Language Processing; Analytics and Data Science; Performance Evaluation
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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
Keywords: April White; Publishing Industries (except Internet); Information
  • 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.
  • 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
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Neeley, Tsedal. "(Re)Building a Global Team: Tariq Khan at Tek." Harvard Business School Case 414-059, December 2013. (Revised November 2015.)
  • 2011
  • Other Paper

From Global Language Mandate to Personal Transformation: How Employees Address The Performance Challenge

By: Tsedal Neeley and Boram Do
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Neeley, Tsedal, and Boram Do. "From Global Language Mandate to Personal Transformation: How Employees Address The Performance Challenge."
  • 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
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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.
  • 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
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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

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
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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.
  • 9 Aug 2010
  • Conference Presentation

Global Language Strategies: The Impact of Mandating English as a Lingua Franca in Global Work

By: Tsedal Neeley
Keywords: Strategy; Global Range
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Neeley, Tsedal. "Global Language Strategies: The Impact of Mandating English as a Lingua Franca in Global Work." Paper presented at the Academy of Management Annual Meeting, Montreal, Canada, August 09, 2010.
  • 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

  • 01 Sep 2017
  • News

The Language of Global Success: How a Common Tongue Transforms Multinational Organizations

  • 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
  • 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
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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.
  • 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
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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.
  • August 2015 (Revised June 2016)
  • Teaching Note

(Re)Building a Global Team: Tariq Khan at Tek

By: Tsedal Neeley
Keywords: Global Teams; Language; Personal Development and Career; Decision Making; Problems and Challenges
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Neeley, Tsedal. "(Re)Building a Global Team: Tariq Khan at Tek." Harvard Business School Teaching Note 416-012, August 2015. (Revised June 2016.)
  • 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
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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).
  • 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
Citation
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Beyene, T., P.J. Hinds, and C. D. Cramton. "Language Challenges in International Work: The Impact of Uneven Proficiency in the Lingua Franca." Paper presented at the Academy of Management Annual Meeting, Honolulu, August 5–10, 2005.
  • 2024
  • Working Paper

Climate Solutions, Transition Risk, and Stock Returns

By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets
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Lu, Shirley, Edward J. Riedl, Simon Xu, and George Serafeim. "Climate Solutions, Transition Risk, and Stock Returns." Harvard Business School Working Paper, No. 25-024, November 2024.
  • Article

The Lives and Deaths of Jobs: Technical Interdependence and Survival in a Job Structure

By: Sharique Hasan, John-Paul Ferguson and Rembrand Koning
Prior work has considered the properties of individual jobs that make them more or less likely to survive in organizations. Yet little research examines how a job’s position within a larger job structure affects its life chances and thus the evolution of the... View Details
Keywords: Jobs; Natural Language Processing; Jobs and Positions; Organizational Structure
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Hasan, Sharique, John-Paul Ferguson, and Rembrand Koning. "The Lives and Deaths of Jobs: Technical Interdependence and Survival in a Job Structure." Organization Science 26, no. 6 (November–December 2015): 1665–1681.
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