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Show Results For
- All HBS Web
(12,554)
- People (75)
- News (2,866)
- Research (3,663)
- Events (32)
- Multimedia (334)
- Faculty Publications (2,349)
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- April 2017
- Case
The Future of Patent Examination at the USPTO
By: Prithwiraj Choudhury, Tarun Khanna and Sarah Mehta
The U.S. Patent and Trademark Office (USPTO) is the federal government agency responsible for evaluating and granting patents and trademarks. In 2015, the USPTO employed approximately 8,000 patent examiners who granted nearly 300,000 patents to inventors. As of April... View Details
Keywords: Machine Learning; Telework; Collaborating With Unions; Human Resources; Recruitment; Retention; Intellectual Property; Copyright; Patents; Trademarks; Knowledge Sharing; Technology Adoption; Organizational Change and Adaptation; Performance Productivity; Performance Improvement; District of Columbia
Choudhury, Prithwiraj, Tarun Khanna, and Sarah Mehta. "The Future of Patent Examination at the USPTO." Harvard Business School Case 617-027, April 2017.
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- Research Summary
Paper - Commodity Chains: what can we learn from a business history of the rubber chain? (1870-1910)
The literature on the rubber boom applied a Marxist/Dependendist view of rubber production in the Brazilian Amazon. Even though a sizeable surplus was generated in the rubber chain, it was mostly appropriated by foreigners. This view is in tune with the Global... View Details
- Article
Repositioning and Cost-Cutting: The Impact of Competition on Platform Strategies
By: Robert Seamans and Feng Zhu
Organizational structures are increasingly complex. In particular, more firms today operate as multi-sided platforms. In this paper, we study how platform firms use repositioning and cost-cutting in response to competition, elucidate external and internal factors that... View Details
Keywords: Platform Strategy; Repositioning; Cost-cutting; Intra-firm Learning; Multi-Sided Platforms; Cost Management; Product Positioning; Organizational Structure; Competitive Strategy; Knowledge Acquisition; Journalism and News Industry
Seamans, Robert, and Feng Zhu. "Repositioning and Cost-Cutting: The Impact of Competition on Platform Strategies." Strategy Science 2, no. 2 (June 2017): 83–99.
- 16 Oct 2002
- Keynote Speech
Value Shift: The Need for a New Corporate Ethic." Speaker. "Harvard Institute for Learning in Retirement
By: Lynn S. Paine
Keywords: Ethics
- March 2010
- Article
First, Get Your Feet Wet: The Effects of Learning from Direct and Indirect Experience on Team Creativity
By: F. Gino, L. Argote, E. Miron-Spektor and G. Todorova
Gino, F., L. Argote, E. Miron-Spektor, and G. Todorova. "First, Get Your Feet Wet: The Effects of Learning from Direct and Indirect Experience on Team Creativity." Organizational Behavior and Human Decision Processes 111, no. 2 (March 2010): 102–115.
- 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).
- 2000
- Chapter
Learning New Technical and Interpersonal Routines in Operating Room Teams: The Case of Minimally Invasive Cardiac Surgery
By: Amy C. Edmondson, Richard Bohmer and Gary Pisano
Keywords: Groups and Teams; Health Care and Treatment; Practice; Competency and Skills; Training; Health Industry
Edmondson, Amy C., Richard Bohmer, and Gary Pisano. "Learning New Technical and Interpersonal Routines in Operating Room Teams: The Case of Minimally Invasive Cardiac Surgery." In Research on Managing Groups and Teams: Technology. Vol. 3, edited by B. Mannix, M. Neale, and T. Grifith, 29–51. Stamford: JAI Press, 2000.
- 1999
- Working Paper
Learning New Technical and Interpersonal Routines in Operating Room Teams: The Case of Minimally Invasive Cardiac Surgery
By: Amy C. Edmondson, Richard M.J. Bohmer and Gary Pisano
- 2002
- Casebook
General Management: Processes and Action: Text and Cases
By: David A. Garvin
Keywords: General Management; Learning Organizations; Implementation; Management; Cases; Strategic Planning; Decision Making; Change Management; Leadership Style; Organizational Culture
Garvin, David A. General Management: Processes and Action: Text and Cases. Boston: McGraw-Hill, 2002.
- September 10, 2020
- Editorial
Today's Awkward Zoom Classes Could Bring a New Era of Higher Education
By: D. L. Spar
Spar, D. L. "Today's Awkward Zoom Classes Could Bring a New Era of Higher Education." EdSurge (September 10, 2020).
- July 2019 (Revised November 2019)
- Case
Osaro: Picking the Best Path
By: William R. Kerr, James Palano and Bastiane Huang
The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms... View Details
Keywords: Artificial Intelligence; Machine Learning; Robotics; Robots; Ecommerce; Fulfillment; Warehousing; AI; Startup; Technology Commercialization; Business Startups; Entrepreneurship; Logistics; Order Taking and Fulfillment; Information Technology; Commercialization; Learning; Complexity; Competition; E-commerce
Kerr, William R., James Palano, and Bastiane Huang. "Osaro: Picking the Best Path." Harvard Business School Case 820-012, July 2019. (Revised November 2019.)
- September 22, 2020
- Article
Amazon's AI Is Learning New Rules to Win for the Holidays: With Stressed Supply Chains and Changing Consumer Behaviors, the Holidays Are Likely to Accelerate Amazon's Advantage
By: Jeffrey F. Rayport and Niall Murphy
Rayport, Jeffrey F., and Niall Murphy. "Amazon's AI Is Learning New Rules to Win for the Holidays: With Stressed Supply Chains and Changing Consumer Behaviors, the Holidays Are Likely to Accelerate Amazon's Advantage." Forbes.com (September 22, 2020).
- October 20, 2021
- Other Article
On the Brink of a Digital Health Care Transformation: What Germany Can Learn from the United States
By: Yoni Goldwasser, William J. Gordon, Jan B. Brönneke and Ariel D. Stern
Goldwasser, Yoni, William J. Gordon, Jan B. Brönneke, and Ariel D. Stern. "On the Brink of a Digital Health Care Transformation: What Germany Can Learn from the United States." Health Affairs Blog (October 20, 2021).
- December 2020
- Case
VIA Science (A)
By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman
Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the... View Details
Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; Markets; AI and Machine Learning; Telecommunications Industry; Utilities Industry; United States; Japan
Alcácer, Juan, Rembrand Koning, Annelena Lobb, and Kerry Herman. "VIA Science (A)." Harvard Business School Case 721-367, December 2020.
- March–April 2013
- Article
Unlocking Innovation Through Business Experimentation
By: Stefan Thomke
There is a downside to businesses that focus heavily on standardization, optimization, and driving out variability: Such organizations leave themselves vulnerable to underinvesting in experimentation and variation, which are the lifeblood of innovation. Good... View Details
Keywords: Experimentation; Innovation Management; Learning And Development; Research; Innovation and Management; Business Processes
Thomke, Stefan. "Unlocking Innovation Through Business Experimentation." European Business Review (March–April 2013): 55–58.
- July 2008
- Article
Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making
By: Katherine L. Milkman, Todd Rogers and Max Bazerman
Although observers of human behavior have long been aware that people regularly struggle with internal conflict when deciding whether to behave responsibly or indulge in impulsivity, psychologists and economists did not begin to empirically investigate this type of... View Details
Milkman, Katherine L., Todd Rogers, and Max Bazerman. "Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making." Perspectives on Psychological Science 3, no. 4 (July 2008).
- 2007
- Working Paper
Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making
By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
Although observers of human behavior have long been aware that people regularly struggle with internal conflict when deciding whether to behave responsibly or indulge in impulsivity, psychologists and economists did not begin to empirically investigate this type of... View Details
Milkman, Katherine L., Todd Rogers, and Max H. Bazerman. "Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making." Harvard Business School Working Paper, No. 08-020, September 2007.
- 2017
- Working Paper
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Delegation; Behavioral Operations; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Harvard Business School Working Paper, No. 16-051, October 2015. (Revised March 2017.)