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Show Results For
-
All HBS Web
(11,764)
- People (75)
- News (2,846)
- Research (3,660)
- Events (31)
- Multimedia (331)
- Faculty Publications (2,328)
- 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.)
- 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,...
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- January 2018 (Revised February 2023)
- Teaching Note
The Future of Patent Examination at the USPTO
This teaching note pairs with the case entitled: “The Future of Patent Examination at the USPTO” (case no. 617-027).
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- 21 Nov 2015
- News
Machines Beat Humans at Hiring Best Employees
- 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...
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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.
- 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...
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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.
- 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...
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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.
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To...
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Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- 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...
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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).
- 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...
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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.
- 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).
- Article
The Feeling of Not Knowing It All
By: Haiyang Yang, Ziv Carmon, Dan Ariely and Michael I. Norton
How do consumers assess their mastery of knowledge they have learned? We explore this question by investigating a common knowledge consumption situation: encountering opportunities for further learning. We argue and show that such opportunities can trigger a...
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Keywords:
Knowledge Consumption;
Consumption Of Learning;
Judgment Of Knowledge;
Feeling Ofknowing;
Confidence In Knowledge;
WYSIATI;
FONKIA;
Knowledge Acquisition;
Learning;
Perception
Yang, Haiyang, Ziv Carmon, Dan Ariely, and Michael I. Norton. "The Feeling of Not Knowing It All." Journal of Consumer Psychology 29, no. 3 (July 2019): 455–462.
- 04 Apr 2024
- Blog Post
Climate Stories: Water Series - Episode #16: Tim Murdoch, HBS MBA 1990 – Learning about Climate Change and Water
Series - Episode #16: Tim Murdoch, HBS MBA 1990 – Learning about Climate Change and Water “I am now a student of water. Attending last May’s Accelerating Climate Solutions conference on campus re-connected me View Details
- November 2021
- Article
Digital Infrastructure Is More Than Just Broadband: What the U.S. Can Learn from Europe's Open Source Technology policy study
By: Frank Nagle
Keywords:
Technological Innovation;
Infrastructure;
Open Source Distribution;
Economic Growth;
United States;
European Union
Nagle, Frank. "Digital Infrastructure Is More Than Just Broadband: What the U.S. Can Learn from Europe's Open Source Technology policy study." Brookings Series: Reimagining Modern-day Markets and Regulations (November 2021).
- 2013
- Chapter
Discussion of "Industrial Policies, the Creation of a Learning Society, and Economic Development" by Bruce Greenwald and Stiglitz Stiglitz
By: Josh Lerner
Lerner, Josh. Discussion of "Industrial Policies, the Creation of a Learning Society, and Economic Development" by Bruce Greenwald and Stiglitz Stiglitz. In The Industrial Policy Revolution I: The Role of Government Beyond Ideology. no. 151-1, edited by Joseph E. Stiglitz and Justin Lin Yifu. IEA Conference Volume. London: Palgrave Macmillan, 2013.