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(6,785)
- News (1,204)
- Research (4,406)
- Events (115)
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- Faculty Publications (3,031)
Show Results For
- All HBS Web
(6,785)
- News (1,204)
- Research (4,406)
- Events (115)
- Multimedia (62)
- Faculty Publications (3,031)
- Research Summary
Information Technology and Vertical Integration: Evidence from Plant-level Data (with Chris Forman)
We study the relationship between different margins of information technology (IT) use and vertical integration using plant-level data from the U.S. Census of Manufactures. Focusing on the short-run decision of whether to allocate production output to downstream plants... View Details
- June 2020
- Article
Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure
By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details
Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
- 10 Mar 2010
- Working Paper Summaries
A Reexamination of Tunneling and Business Groups: New Data and New Methods
- 15 Nov 2018
- News
Algorithms tame ambiguities in use of legal data
- June 2012
- Article
A Reexamination of Tunneling and Business Groups: New Data and New Methods
By: Jordan I. Siegel and Prithwiraj Choudhury
One of the most rigorous methodologies in the corporate governance literature uses firms' reactions to industry shocks to characterize the quality of governance. This methodology can produce the wrong answer unless one considers the ways firms compete. Because... View Details
Siegel, Jordan I., and Prithwiraj Choudhury. "A Reexamination of Tunneling and Business Groups: New Data and New Methods." Review of Financial Studies 25, no. 6 (June 2012).
- November 2021
- Article
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,... View Details
Herlands, William, Edward McFowland III, Andrew Gordon Wilson, and Daniel B. Neill. "Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data." Proceedings of Machine Learning Research (PMLR) 84 (2018): 425–434. (Also presented at the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.)
- September 2010
- Supplement
Sherritt Goes to Cuba (C): Cuba country data
By: Aldo Musacchio and Jonathan Schlefer
Musacchio, Aldo, and Jonathan Schlefer. "Sherritt Goes to Cuba (C): Cuba country data." Harvard Business School Supplement 711-003, September 2010.
- 21 Jun 2012
- Working Paper Summaries
Information Technology and Boundary of the Firm: Evidence from Plant-Level Data
Keywords: by Chris Forman & Kristina McElheran
- 2024
- Conference Paper
Fair Machine Unlearning: Data Removal while Mitigating Disparities
By: Himabindu Lakkaraju, Flavio Calmon, Jiaqi Ma and Alex Oesterling
- 12 Jun 2020
- News
What Blockchain Could Mean for Your Health Data
- July 2018
- Article
Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India
By: Satchit Balsari, Alexander Fortenko MD, MPH, Joaquin A. Blaya PhD, Adrian Gropper MD, Malavika Jayaram LLM, Rahul Matthan LLM, Ram Sahasranam, Mark Shankar MD, Suptendra N. Sarbadhikari PhD, Barbara Bierer, Kenneth D. Mandl MD, Sanjay Mehendale MD, MPH and Tarun Khanna
In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world’s largest insurance program. To meet this target, the government will rely on technology to... View Details
Keywords: Health Information Exchange; India; Health APIs; Health Care and Treatment; Information; Analytics and Data Science; Information Technology; Health Industry; India
Balsari, Satchit, Alexander Fortenko MD, MPH, Joaquin A. Blaya PhD, Adrian Gropper MD, Malavika Jayaram LLM, Rahul Matthan LLM, Ram Sahasranam, Mark Shankar MD, Suptendra N. Sarbadhikari PhD, Barbara Bierer, Kenneth D. Mandl MD, Sanjay Mehendale MD, MPH, and Tarun Khanna. "Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India." Journal of Medical Internet Research 20, no. 7 (July 2018).
- 27 Jul 2017
- News
The Revolution in Advertising: From Don Draper to Big Data
- 21 Aug 2017
- Lessons from the Classroom
Companies Love Big Data But Lack the Strategy To Use It Effectively
depth, and accessibility—it has become clear it is key to helping companies develop sustainable competitive advantage. “The new attention being given to data today is because suddenly, everywhere, it’s... View Details
Keywords: by Dina Gerdeman
- Web
IT Strategy: Protecting HBS Information and Data Assets | Information Technology
IT Strategy: Protecting HBS Information and Data Assets Strategic Priority: 4. Protect HBS Information & Technology Assets By Annie Harrison on December 4, 2024 Share via Facebook Share via LinkedIn Print... View Details
- 05 Mar 2012
- News
Apple's Job Creation Data Spurs an Economic Debate
- May 2023
- Teaching Note
TikTok and National Security: Investment in an Age of Data Sovereignty?
By: Jeremy Friedman
Teaching Note for HBS Case No. 722-020. View Details
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
understand these impacts and values. You set the governance, you set the standards, and you want to be very thoughtful about which ones you set,”... View Details
Keywords: by Kara Baskin
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- December 1996 (Revised November 2006)
- Background Note
General Mills, Inc.: Appendix of Comparable Company Data
By: William J. Bruns Jr.
Financial ratios for comparable companies to be used in conjunction with an analysis of the General Mills Annual Report. View Details
Bruns, William J., Jr. "General Mills, Inc.: Appendix of Comparable Company Data." Harvard Business School Background Note 197-037, December 1996. (Revised November 2006.)
- 16 Feb 2015
- News