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- All HBS Web
(785)
- People (1)
- News (225)
- Research (332)
- Events (1)
- Multimedia (1)
- Faculty Publications (76)
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- 2017
- Working Paper
The Need for Speed: Effects of Uncertainty Reduction in Patenting
By: Mike Horia Teodorescu
Patents are essential in commerce to establish property rights for ideas and to give equal protection to firms that develop new technologies. Young firms especially depend on the protection of intellectual property to bring a product from concept to market. However,... View Details
- 24 Mar 2014
- Research & Ideas
The Surprising Link Between Language and Corporate Responsibility
We've heard that Eskimos have 100 words for snow—a common way of expressing how language affects the way we see the world. Whether or not that particular example is true, cultural linguists have long theorized that the words a particular... View Details
Keywords: by Michael Blanding
- February 2024
- Article
Conveying and Detecting Listening in Live Conversation
By: Hanne Collins, Julia A. Minson, Ariella S. Kristal and Alison Wood Brooks
Across all domains of human social life, positive perceptions of conversational listening (i.e., feeling heard) predict well-being, professional success, and interpersonal flourishing. But a fundamental question remains: Are perceptions of listening accurate? Prior... View Details
Collins, Hanne, Julia A. Minson, Ariella S. Kristal, and Alison Wood Brooks. "Conveying and Detecting Listening in Live Conversation." Journal of Experimental Psychology: General 153, no. 2 (February 2024): 473–494.
- May 20, 2010
- Article
Leaders’ Blindspots Undermine Their Global Language Policies
By: Tsedal Neeley
Editor’s note: This post is part of a six-week blog series on how leadership might look in the future. The conversations generated by these posts will help shape the agenda of a symposium on the topic in June 2010, hosted by HBS’s Nitin Nohria, Rakesh Khurana, and... View Details
Neeley, Tsedal. "Leaders’ Blindspots Undermine Their Global Language Policies." Harvard Business Review (website) (May 20, 2010).
- 2017
- Working Paper
Machine Learning Methods for Strategy Research
By: Mike Horia Teodorescu
Numerous applications of machine learning have gained acceptance in the field of strategy and management research only during the last few years. Established uses span such diverse problems as strategic foreign investments, strategic resource allocation, systemic risk... View Details
Keywords: Machine Learning; Natural Language Processing; Classification; Decision Trees; Strategic Decisions; Strategy; Research; Information Technology
Teodorescu, Mike Horia. "Machine Learning Methods for Strategy Research." Harvard Business School Working Paper, No. 18-011, August 2017. (Revised October 2017.)
- November 2022
- Article
A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups
By: Anjali M. Bhatt, Amir Goldberg and Sameer B. Srivastava
When the social boundaries between groups are breached, the tendency for people to erect and maintain symbolic boundaries intensifies. Drawing on extant perspectives on boundary maintenance, we distinguish between two strategies that people pursue in maintaining... View Details
Keywords: Culture; Machine Learning; Natural Language Processing; Symbolic Boundaries; Organizations; Boundaries; Social Psychology; Interpersonal Communication; Organizational Culture
Bhatt, Anjali M., Amir Goldberg, and Sameer B. Srivastava. "A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups." Sociological Methods & Research 51, no. 4 (November 2022): 1681–1720.
- June 2015 (Revised October 2016)
- Case
Denver Museum of Nature & Science
By: Jill Avery and Jim Rosenberg
Digital was on Vice President of Strategic Partnerships and Programs Bridget Coughlin's mind these days. DMNS had been dabbling in digital for the past few years, but had never fully committed to it. The time had come to establish a strategic vision, and to decide... View Details
Keywords: Digital; Nonprofit; Arts; Education; Marketing; Marketing Communications; Marketing Strategy; Nonprofit Organizations; Social Media; Education Industry; North America; United States
Avery, Jill, and Jim Rosenberg. "Denver Museum of Nature & Science." Harvard Business School Case 315-081, June 2015. (Revised October 2016.)
- June 2023
- Article
How New Ideas Diffuse in Science
By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland
What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details
Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science
Cheng, Mengjie, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, and Daniel A. McFarland. "How New Ideas Diffuse in Science." American Sociological Review 88, no. 3 (June 2023): 522–561.
- 28 Sep 2020
- Research & Ideas
How Leaders Can Navigate Politicized Conversations and Inspire Collaboration
environment. “Sometimes we believe we are being receptive when in fact we are doing just the opposite: being on the defensive.” Too PC or not too PC To better understand the conversational implications of using View Details
Keywords: by Kristen Senz
- June 2024 (Revised September 2024)
- Case
Driving Scale with Otto
By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details
Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain
Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale with Otto." Harvard Business School Case 724-407, June 2024. (Revised September 2024.)
- March 2020
- Article
Do Managers Matter? A Natural Experiment from 42 R&D Labs in India
By: Prithwiraj Choudhury, Tarun Khanna and Christos A. Makridis
We exploit plausibly exogenous variation in the staggered entry of new managers into India’s 42 public R&D labs between 1994 and 2006 to study how alignment between the CEO and middle-level managers affect research productivity. We show that the introduction of new lab... View Details
Keywords: Incentives; Innovation; Productivity; Management; Alignment; Research and Development; Innovation and Invention; Performance Productivity; India
Choudhury, Prithwiraj, Tarun Khanna, and Christos A. Makridis. "Do Managers Matter? A Natural Experiment from 42 R&D Labs in India." Journal of Law, Economics & Organization 36, no. 1 (March 2020): 47–83.
- 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
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 21 Apr 2021
- Research & Ideas
The Pandemic Conversations That Leaders Need to Have Now
transition back to “normal” (whatever that means). Although we are still living in COVID-19’s grip, companies are starting to devise plans to bring their workforces back to the office in the coming weeks and months. In recent View Details
- 2011
- Article
Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia
By: Michael Zhang and Feng Zhu
In this paper, we examine the causal relationship between group size and incentives to contribute in the setting of Chinese Wikipedia, the Chinese language version of an online encyclopedia that relies entirely on voluntary contributions. The group at Chinese Wikipedia... View Details
Keywords: Rights; Motivation and Incentives; Internet and the Web; Valuation; Groups and Teams; Knowledge Sharing; Behavior; Satisfaction; Size; Government and Politics; Economics; Information Technology Industry; Hong Kong; Taiwan; Singapore
Zhang, Michael, and Feng Zhu. "Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia." American Economic Review 101, no. 4 (June 2011): 1601–1615.
- October–December 2023
- Article
A Practical Guide to Conversation Research: How to Study What People Say to Each Other
By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details
Yeomans, Michael, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber, and Alison Wood Brooks. "A Practical Guide to Conversation Research: How to Study What People Say to Each Other." Advances in Methods and Practices in Psychological Science 6, no. 4 (October–December 2023).
- 20 Jun 2017
- Working Paper Summaries
Conversational Peers and Idea Generation: Evidence from a Field Experiment
Keywords: by Sharique Hasan and Rembrand Koning
- Research Summary
Overview
My current research focuses on the role of AI in shaping organizational knowledge production, learning, and innovation processes. I run field experiments to study early-stage idea generation and evaluation in entrepreneurial context. View Details
- January–February 2021
- Article
Making Space for Emotions: Empathy, Contagion, and Legitimacy’s Double-Edged Sword
By: Andreea Gorbatai, Cyrus Dioun and Kisha Lashley
Legitimacy is critical to the formation and expansion of nascent fields because it lends credibility and recognizability to once overlooked actors and practices. At the same time, legitimacy can be a double-edged sword precisely because it facilitates field growth,... View Details
Keywords: Legitimacy; Collective Identity; Emotional Contagion; Field-congifiguring Events; Empathy; Natural Language Processing; Mixed Methods; Organizational Culture; Emotions; Groups and Teams
Gorbatai, Andreea, Cyrus Dioun, and Kisha Lashley. "Making Space for Emotions: Empathy, Contagion, and Legitimacy’s Double-Edged Sword." Organization Science 32, no. 1 (January–February 2021): 42–63.
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.