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Show Results For
- All HBS Web
(10,177)
- People (64)
- News (3,258)
- Research (3,953)
- Events (24)
- Multimedia (60)
- Faculty Publications (1,368)
- 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... View Details
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.
- 19 Jan 2015
- Research & Ideas
Is Wikipedia More Biased Than Encyclopædia Britannica?
institution announced it would no longer publish a print version of its multivolume compendium of knowledge. Though the Britannica would still be available online, the writing on the virtual wall was clear: It had been supplanted by the... View Details
- 07 Sep 2021
- Research & Ideas
Who Pays For Wildfire and Hurricane Damage? Everyone.
New Mexico homeowners might think their inland location buffers them from the financial toll of climate change, but they’re still paying for climate-related property damage occurring in coastal states. New research finds that homeowners in New Mexico and other states... 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).
- 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... View Details
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).
- 04 Oct 2010
- Research & Ideas
Introverts: The Best Leaders for Proactive Employees
relatively passive but the managers were extraverted. On the other hand, when employees were proactive, the stores led by introverted managers earned high profits. Meanwhile, profits were lower in stores where extraverted managers led... View Details
Keywords: by Carmen Nobel
- Summer 2020
- Article
Venture Capital's Role in Financing Innovation: What We Know and How Much We Still Need to Learn
By: Josh Lerner and Ramana Nanda
Venture capital is associated with some of the most high-growth and influential firms in the world. Academics and practitioners have effectively articulated the strengths of the venture model. At the same time, venture capital financing also has real limitations in its... View Details
Lerner, Josh, and Ramana Nanda. "Venture Capital's Role in Financing Innovation: What We Know and How Much We Still Need to Learn." Journal of Economic Perspectives 34, no. 3 (Summer 2020): 237–261.
- 23 Jan 2023
- Research & Ideas
After High-Profile Failures, Can Investors Still Trust Credit Ratings?
During the financial crisis of 2008, major credit rating agencies faced sharp criticism for failing to recognize and warn of the risks of emerging instruments like mortgage-backed securities. Since that time, the results of a new study suggest, the agencies appear to... View Details
Keywords: by Ben Rand
- September 2018 (Revised December 2019)
- Case
Zebra Medical Vision
By: Shane Greenstein and Sarah Gulick
An Israeli startup founded in 2014, Zebra Medical Vision developed algorithms that produced diagnoses from X-rays, mammograms, and CT-scans. The algorithms used deep learning and digitized radiology scans to create software that could assist doctors in making... View Details
Keywords: Radiology; Machine Learning; X-ray; CT Scan; Medical Technology; Probability; FDA 510(k); Diagnosis; Business Startups; Health Care and Treatment; Information Technology; Applications and Software; Competitive Strategy; Product Development; Commercialization; Decision Choices and Conditions; Health Industry; Medical Devices and Supplies Industry; Technology Industry; Israel
Greenstein, Shane, and Sarah Gulick. "Zebra Medical Vision." Harvard Business School Case 619-014, September 2018. (Revised December 2019.)
- 01 Dec 2019
- News
From Das’s Desk
As the External Relations team explores the breadth of options for lifelong learning content and programs for alumni, one area where we’re already seeing success is in the world of podcasting. Over the past few years, podcasts have... View Details
- 26 Sep 2024
- HBS Case
If a Car Can Drive Itself, Can It Make Life-or-Death Decisions?
as saying: “At the point [at] which you believe that adding autonomy reduces injury and death, I think you have a moral obligation to deploy it even though you’re going to get sued and blamed by a lot of... View Details
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 29 Nov 2021
- Research & Ideas
How Bonuses Get Employees to Choose Work Over Family
pay—and that has the potential to lay the groundwork for an overworked, unhappy existence, according to research by Ashley Whillans, an assistant professor in Harvard Business School’s Negotiation, Organizations, and Markets Unit. The... View Details
Keywords: by Rachel Kim Raczka
- 30 Jul 2018
- Research & Ideas
Why Ethical People Become Unethical Negotiators
inclined to minimize that loss by stretching the truth. When negotiators have a lot of uncertainty and lack information, they are more likely to engage in deceptive practices. If negotiators think their... View Details
Keywords: by Dina Gerdeman
- 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.
- 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.
- 02 Aug 2006
- Research & Ideas
Investor Protection: The Czech Experience
mistake made by CME is that it confused ownership with control. It continued to increase its ownership stake all the way to 99 percent, thinking that it was getting more and more control of the entity, while... View Details
- October 26, 2021
- Article
Value Chain Management to Implement Post-COVID-19 Health Care Strategy: The COVID-19 Crisis Has Created Areas of Innovation That Should Be Embraced by Health Care Leaders
By: Michael E. Porter, Junaid Nabi and Thomas H. Lee
Health care organizations must learn from what has worked during the COVID-19 crisis. Leaders have found that while they cannot do everything, they must define and manage the sequence of activities required to deliver high-value care. View Details
Keywords: COVID-19 Pandemic; Value-based Health Care; Value Chain; Health Pandemics; Health Care and Treatment; Management; Strategy
Porter, Michael E., Junaid Nabi, and Thomas H. Lee. "Value Chain Management to Implement Post-COVID-19 Health Care Strategy: The COVID-19 Crisis Has Created Areas of Innovation That Should Be Embraced by Health Care Leaders." DOI: 10.1056/CAT.21.0302. NEJM Catalyst (October 26, 2021).
- 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.