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(4,358)
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Show Results For
- All HBS Web
(4,358)
- People (9)
- News (1,153)
- Research (2,271)
- Events (47)
- Multimedia (31)
- Faculty Publications (1,132)
- Research Summary
Knowledge flows and capability acquisition
By: Willy C. Shih
Technological advancements are a major source of improvement in competiveness, and a firm’s incentives to invest are diminished when the knowledge generated is involuntarily dispersed to competitors. While intellectual property rights can moderate this flow to the... View Details
- 2017
- Book
Geography, Location, and Strategy
By: Juan Alcácer, Bruce Kogut, Catherine Thomas and Bernard Yin Yeung
Changes in both technology and global political economy have vastly accelerated the pace of globalization in the last 40 years, eroding barriers that limited firms' geographic scope and unleashing a seemingly unlimited set of new threats, challenges, and opportunities... View Details
Alcácer, Juan, Bruce Kogut, Catherine Thomas and Bernard Yin Yeung, eds. Geography, Location, and Strategy. Vol. 36, Advances in Strategic Management. Emerald Publishing Limited, 2017.
- March 2007 (Revised April 2007)
- Case
The University of Utah and the Computer Graphics Revolution
By: H. Kent Bowen and Courtney Purrington
Computer science departments were new to universities in the 1960s, and the one created at the University of Utah by David Evans and Ivan Sutherland had a research mission to invent the field of computer graphics. Details the research process that led to many of the... View Details
Keywords: Engineering; Entrepreneurship; Management Practices and Processes; Mission and Purpose; Research and Development; Technology Adoption; Computer Industry; Education Industry; Utah
Bowen, H. Kent, and Courtney Purrington. "The University of Utah and the Computer Graphics Revolution." Harvard Business School Case 607-036, March 2007. (Revised April 2007.)
- 22 Feb 2023
- Blog Post
Meet the Disability Advocacy and Affinity Group (DAAG)
seek to create more space for their voices to be heard and celebrated. We know that “disability” can mean many different things and feel differently depending on the... View Details
- June 2015 (Revised January 2017)
- Case
Epistar and the Global LED Market
By: Willy C. Shih, Chen-Fu Chien and Hung-Kai Wang
It took BJ Lee many years to learn how to navigate the patent minefield that was the global LED industry. When his company was first spun off from the Industrial Technology Research Institute in Taiwan, he thought the essence of a good IP strategy was to develop a... View Details
Keywords: Intellectual Property Management; Patenting; Patent Litigation; Intellectual Property; Patents; Electronics Industry; Semiconductor Industry; Asia; United States; Japan; Taiwan
Shih, Willy C., Chen-Fu Chien, and Hung-Kai Wang. "Epistar and the Global LED Market." Harvard Business School Case 615-053, June 2015. (Revised January 2017.)
- 23 Oct 2019
- News
Preparing Leaders to Leverage Artificial Intelligence
incorporate data into high-level strategy. “As organizations around the world grapple with the implications of artificial intelligence,” says Lakhani, “HBS will continue to strengthen its research and... View Details
- Research Summary
Experiential Learning and Knowledge Mentors
Dorothy Leonard’s research on innovation and knowledge transfer has always emphasized learning by doing. During the past several years, she has been exploring how organizations can foster faster skills learning. While there are generational differences in... View Details
- 21 Feb 2019
- Blog Post
Machine Learning and Behavioral Economics
of a real diversity of applications, from consumer apps to research in things like healthcare and energy management. The philosophical implications are enormous: machine learning is going to change... View Details
- June 2016 (Revised August 2019)
- Case
Numenta: Inventing and (or) Commercializing AI
By: David B. Yoffie, Liz Kind and David Ben Shimol
In March 2016, Donna Dubinsky (co-founder and CEO) and Jeff Hawkins (co-founder) were struggling with a key question: Could Numenta be successful in both creating fundamental technology and building a commercial business? Located in Redwood City, CA, Numenta was... View Details
Keywords: Artificial Intelligence; Machine Intelligence; Machine Learning; Strategy; Business Model; Entrepreneurship; Information; Technological Innovation; Research; Research and Development; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Commercialization; AI and Machine Learning
Yoffie, David B., Liz Kind, and David Ben Shimol. "Numenta: Inventing and (or) Commercializing AI." Harvard Business School Case 716-469, June 2016. (Revised August 2019.)
- 22 Jun 2021
- Research & Ideas
The COVID-19 Mutiny: When Teams Leave and Take Their Clients
remember how you resigned. Industries in flux mean that you may run into someone again in who knows what role, and people working from home with unlimited access to communication technology means that... View Details
- Research Summary
Science-Based Business and the Business of Science
By: H. Kent Bowen
Science and technology can provide strategic advantage to companies' through differentiated products and processes. The focus of our research is on unusually productive and creative labs that are the sources of breakthroughs that create platforms for sustained... View Details
- Research Summary
Sustainability, Real Estate and the Built Environment
By: John D. Macomber
Research interests include:
- Real estate development, design, and construction, notably how design creates value;
- Sustainable cities, in particular entrepreneurship and project finance in light of global trends in urbanization and resource... View Details
- Research Summary
Branding in Digital and Social Media
By: Jill J. Avery
This very contemporary line of research explores the rapidly changing digital world, and investigates how emerging technologies are creating a new consumer culture in which consumers expect to be partners in the co-creation of brands. The work explores the branding... View Details
- September 2021
- Article
Trials and Terminations: Learning from Competitors' R&D Failures
I analyze project continuation decisions where firms may resolve uncertainty through news about competitors' research and development (R&D) failures, as well as through their own results. I examine the trade-offs and interactions between product-market competition and... View Details
Krieger, Joshua L. "Trials and Terminations: Learning from Competitors' R&D Failures." Management Science 67, no. 9 (September 2021).
- 06 Jun 2016
- Research & Ideas
Skills and Behaviors that Make Entrepreneurs Successful
financed them—declared such brick-and-mortar businesses were dinosaurs on their way to extinction. The success of Bluemercury proved the critics wrong. “We’ve always had a hard time being able to identify the skills and behaviors of... View Details
Keywords: by HBS Working Knowledge
- Research Summary
Senior Teams, Strategic Innovation, and Change
This research stream explores the relations... View Details
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).