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- All HBS Web
(6,744)
- News (1,207)
- Research (4,365)
- Events (115)
- Multimedia (63)
- Faculty Publications (2,983)
Show Results For
- All HBS Web
(6,744)
- News (1,207)
- Research (4,365)
- Events (115)
- Multimedia (63)
- Faculty Publications (2,983)
- 2019
- Article
Hospital Adoption of API-enabled Patient Data Access
By: A Jay Holmgren and Nate C. Apathy
Holmgren, A Jay, and Nate C. Apathy. "Hospital Adoption of API-enabled Patient Data Access." Art. 100377. Healthcare: The Journal of Delivery Science and Innovation 7, no. 4 (2019).
- Article
Extracting Insights from Vast Stores of Data
By: Sunil Gupta and Rishad Tobaccowala
Gupta, Sunil, and Rishad Tobaccowala. "Extracting Insights from Vast Stores of Data." Harvard Business Review (website) (August 30, 2016).
- December 1997
- Supplement
Data Supplement The Tax Cut of 1964
By: David A. Moss, Louis T. Wells Jr. and Courtenay Sprague
Supplements Tax Cut of 1964. View Details
Moss, David A., Louis T. Wells Jr., and Courtenay Sprague. "Data Supplement The Tax Cut of 1964." Harvard Business School Supplement 798-045, December 1997.
- 10 Mar 2010
- Working Paper Summaries
A Reexamination of Tunneling and Business Groups: New Data and New Methods
- Web
Statistical & Data Services - Research Computing Services
About Us Statistical & Data Services 2ms Research Computing Services (RCS) provides statistical and data services for the HBS research community, including consultations View Details
- 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).
- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.
- 16 Feb 2015
- News
Yelp suggests its open data project could help end food poisoning
- 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.)
- 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.
- 21 Jun 2012
- Working Paper Summaries
Information Technology and Boundary of the Firm: Evidence from Plant-Level Data
Keywords: by Chris Forman & Kristina McElheran
- March 27, 2017
- Article
How the Water Industry Learned to Embrace Data
By: Frank V. Cespedes and Amir Peleg
Most current talk about “big data” seems to assume the disintermediation or replacement of physical assets by digital technologies. But a bigger and more impactful trend is the use of online tools to improve physical asset utilization in many traditional off-line... View Details
Keywords: Information Technology; Analytics and Data Science; Organizational Change and Adaptation; Utilities Industry
Cespedes, Frank V., and Amir Peleg. "How the Water Industry Learned to Embrace Data." Harvard Business Review (website) (March 27, 2017).
- 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
- 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
- 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).
- 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
- 27 Jul 2017
- News
The Revolution in Advertising: From Don Draper to Big Data
- 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.
- 06 Jul 2017
- Working Paper Summaries