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- All HBS Web (2,037)
- Faculty Publications (475)
- Video
Nicolás Jodal
Nicolás Jodal, Co-Founder and CEO of GeneXus, shares his reaction to recent advancements in Artificial Intelligence with Large Language Models (LLMs), comparing their emergence to the industrial revolution and underscoring the need for swift adaptation to the... View Details
- Article
Unregulated Emotional Risks of AI Wellness Apps
By: Julian De Freitas and Glenn Cohen
We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and... View Details
- January 2017 (Revised October 2023)
- Case
Classtivity: Payal's Pirouette
By: Jeffrey J. Bussgang and Olivia Hull
A few months after launching a new fitness technology product, the small staff of New York startup Classtivity gathers on a Saturday in April 2013 to take stock. With one successful pivot under its belt, Classtivity is finally generating revenue and enthusiasm among... View Details
Keywords: Product Pivot; Boutique Fitness; Fitness Industry; Market Sizing; Consumer Technology; Bundling; Subscription Model; Two-sided Marketplace; ClassPass; Entrepreneurship; Venture Capital; Business Startups; Transition; Customer Focus and Relationships; Technological Innovation; Organizational Change and Adaptation; Customer Value and Value Chain; Marketing Strategy; Failure; Business Strategy; Technology Industry; Health Industry; New York (city, NY)
Bussgang, Jeffrey J., and Olivia Hull. "Classtivity: Payal's Pirouette." Harvard Business School Case 817-002, January 2017. (Revised October 2023.)
- 01 Dec 2020
- News
New News
exciting. Michael Aft: We exist because traditional media is struggling. There are perverse incentives tied to the ad-revenue model that have made it challenging to consume high-quality content, and that’s true for everything from general... View Details
A Lesson from Google: Can AI Bias be Monitored Internally?
Dr. Timnit Gebru was the co-lead of Google’s Ethical AI research team – until she raised concerns about bias in the company’s large language models and was forced out in 2020.
Her departure sent shockwaves through the AI and tech community and raised... View Details
- 2012
- Article
Demand and Capacity Management in Air Transportation
This paper summarizes research trends and opportunities in the area of managing air transportation demand and capacity. Capacity constraints and resulting congestion and low schedule reliability currently impose large costs on airlines and their passengers. Significant... View Details
Keywords: Demand Management; Capacity Management; Mathematical Modeling; Congestion And Delays; Trends And Opportunities; Demand and Consumers; Air Transportation; Mathematical Methods; Performance Capacity; Air Transportation Industry
Barnhart, Cynthia, Douglas S. Fearing, Amedeo Odoni, and Vikrant Vaze. "Demand and Capacity Management in Air Transportation." EURO Journal on Transportation and Logistics 1, nos. 1-2 (2012): 135–155.
- February 2024 (Revised September 2024)
- Case
TimeCredit
By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting background, as she decides how much... View Details
Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Technology Industry
Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Case 824-139, February 2024. (Revised September 2024.)
- February 2024
- Teaching Note
TimeCredit
By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
Teaching Note for HBS Case No. 824-139. TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting... View Details
- September 2023 (Revised January 2024)
- Case
AI21 Labs in 2023: Strategy for Generative AI
By: David Yoffie, Orna Dan and Elena Corsi
Israeli generative artificial intelligence company AI21 Labs was founded in 2017 to realize the vision of true machine intelligence. It sought to reinvent writing and reading and in 2020 it launched Wordtune, an app using GenAI software to offer alternate text... View Details
Keywords: Decision Making; AI and Machine Learning; Innovation Strategy; Growth and Development Strategy; Applications and Software; Competitive Strategy; Technology Industry; Israel
Yoffie, David, Orna Dan, and Elena Corsi. "AI21 Labs in 2023: Strategy for Generative AI." Harvard Business School Case 724-383, September 2023. (Revised January 2024.)
- 05 Dec 2013
- HBS Seminar
Tsedal Neeley, Harvard Business School
Magie Cheng
Mengjie (Magie) Cheng is a Ph.D. student in Marketing at Harvard Business School. She received her B.S. in Finance from Chu Kochen Honors College at Zhejiang University and M.S. in Management Science and... View Details
- 2023
- Working Paper
Toward a Better Understanding of Open Ecosystems: Implications for Policymakers
By: Feng Zhu and Carmelo Cennamo
The digital realm is undergoing a significant transformation, marked by the emergence of platform
business models and the concept of open ecosystems. This paper delves into the intricate nature of
ecosystem openness, underscoring the point that the openness of... View Details
Zhu, Feng, and Carmelo Cennamo. "Toward a Better Understanding of Open Ecosystems: Implications for Policymakers." Working Paper, November 2023.
- 19 Jan 2015
- Research & Ideas
Is Wikipedia More Biased Than Encyclopædia Britannica?
Wikipedia article." Readers, meanwhile, should be conscious of the inherent bias found in Wikipedia, and seek out other sources to corroborate information on articles that lack a large number of revisions over time. On today's virtual... View Details
- 2020
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships
Organizations are formed in a free economy because an individual or group perceives value in carrying out a technical recipe that is beyond the capacity of a single person. Technology specifies what must be done, what resources must be assembled, what actions taken in... View Details
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships." Harvard Business School Working Paper, No. 21-039, September 2020.
- 16 Jun 2009
- First Look
First Look: June 16
paper: http://www.hbs.edu/research/pdf/09-043.pdf Walking Through Jelly: Language Proficiency, Emotions, and Disrupted Collaboration in Global Work Authors:Tsedal Beyene, Pamela J. Hinds, and Catherine Durnell Cramton Abstract In an... View Details
Keywords: Martha Lagace
- 13 Mar 2025
- HBS Seminar
Sonny Tambe, Wharton
- 27 Mar 2025
- HBS Seminar
John Horton, MIT Sloan
- 2024
- Working Paper
Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups
By: Shirley Lu, George Serafeim and Simon Xu
We study whether incumbent firms increase their product focus on climate solutions in response to venture capital (VC) financing of climate-tech startups. Using large language models to measure a firm's focus on climate solutions, we find that incumbents in similar... View Details
Keywords: Climate Finance; Climate Change; Technological Innovation; Entrepreneurship; Venture Capital; Private Equity; Environmental Sustainability; Business Startups
Lu, Shirley, George Serafeim, and Simon Xu. "Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups." Harvard Business School Working Paper, No. 25-025, November 2024.
- 2016
- Working Paper
Historical Change and the Competitive Advantage of Firms: Explicating the 'Dynamics' in the Dynamic Capabilities Framework
By: Geoffrey Jones and R. Daniel Wadhwani
This working paper aims to deepen the scholarly dialogue between strategy and history. It does so by examining how historical models of change can contribute to theory and research on the competitive advantage of firms during periods of rapid innovation. Focusing on... View Details
Keywords: Strategy; Dynamic Capabilities; Innovation; Temporality; Context; Microfoundations; Business History; Competitive Advantage; Change; Innovation and Invention
Jones, Geoffrey, and R. Daniel Wadhwani. "Historical Change and the Competitive Advantage of Firms: Explicating the 'Dynamics' in the Dynamic Capabilities Framework." Harvard Business School Working Paper, No. 17-052, December 2016.