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Show Results For
- All HBS Web
(6,909)
- News (1,181)
- Research (4,301)
- Events (107)
- Multimedia (62)
- Faculty Publications (2,958)
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- November 2001 (Revised October 2017)
- Supplement
GuestFirst Hotel (B): Taking Advantage of Panel Data
By: Frances X. Frei and Dennis Campbell
Supplements the (A) case. View Details
Keywords: Accommodations Industry
Frei, Frances X., and Dennis Campbell. "GuestFirst Hotel (B): Taking Advantage of Panel Data." Harvard Business School Supplement 602-111, November 2001. (Revised October 2017.)
- July 1992
- Article
On Determining the Dimension of Real-Time Stock Price Data
By: E. S. Mayfield and B. Mizrach
Mayfield, E. S., and B. Mizrach. "On Determining the Dimension of Real-Time Stock Price Data." Journal of Business & Economic Statistics 10, no. 3 (July 1992).
- July 1983
- Background Note
Brave New World: Note on the Data Communications Marketplace--1983
By: John F. Cady and Frank V. Cespedes
Keywords: Information Industry
Cady, John F., and Frank V. Cespedes. "Brave New World: Note on the Data Communications Marketplace--1983." Harvard Business School Background Note 584-006, July 1983.
- June 21, 2017
- Article
A New Approach to Safely Sharing Cancer Patients' Data
By: Richard G. Hamermesh and Kathryn E. Giusti
Hamermesh, Richard G., and Kathryn E. Giusti. "A New Approach to Safely Sharing Cancer Patients' Data." Harvard Business Review (website) (June 21, 2017).
- July 2021 (Revised January 2022)
- Teaching Note
Amazon Shopper Panel: Paying Customers for Their Data
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS Case No. 521-058. View Details
- January 2008 (Revised April 2008)
- Teaching Note
Pilgrim Bank (B): Statistics Review with Data Desk
By: Frances X. Frei
Teaching Note for 602095. View Details
- January 2008
- Teaching Note
Pilgrim Bank (A): Statistics Review with Data Desk
By: Frances X. Frei
Teaching Note for 602104. View Details
- April 2023
- Technical Note
An Art & A Science: How to Apply Design Thinking to Data Science Challenges
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details
Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
- 27 Feb 2024
- Research & Ideas
Why Companies Should Share Their DEI Data (Even When It’s Unflattering)
products. “At the moment, many companies aren’t disclosing data on their workforce diversity,” Nam explains. “Simply disclosing this information is enough to improve customer attitudes.” The research comes amid mounting concern that DEI... View Details
Keywords: by Shalene Gupta
- Article
Assessing the Impact of Health System Organizational Structure on Hospital Electronic Data Sharing
By: A Jay Holmgren and Eric Ford
Horizontal consolidation in the hospital industry has gained momentum in the United States despite concerns over rising costs and lower quality. Hospital systems frequently point to potential gains in interoperability and electronic exchange of patient information as... View Details
Keywords: Hospitals; Health Information Technology; Health Care; Health Care and Treatment; Data and Data Sets; Information Technology; Consolidation; Knowledge Sharing; Health Industry
Holmgren, A Jay, and Eric Ford. "Assessing the Impact of Health System Organizational Structure on Hospital Electronic Data Sharing." Journal of the American Medical Informatics Association 25, no. 9 (September 2018): 1147–1152.
- 2022
- Working Paper
Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data
By: Alexander O. Everhart and Ariel D. Stern
Medical devices increasingly include software components, which facilitate remote patient monitoring. The introduction of software into previously analog medical devices as well as innovation in software-driven devices may introduce new safety concerns—all the more so... View Details
Keywords: Technological Innovation; Safety; Governing Rules, Regulations, and Reforms; Health Care and Treatment; Medical Devices and Supplies Industry
Everhart, Alexander O., and Ariel D. Stern. "Post-market Surveillance of Software Medical Devices: Evidence from Regulatory Data." Harvard Business School Working Paper, No. 23-035, November 2022.
- Research Summary
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen Mills
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
- 1998
- Working Paper
Some Evidence on the Optimal Welfare State Based on Subjective Data
By: Rafael Di Tella and Robert MacCulloch
It is often difficult to evaluate all the costs and benefits of the welfare state. This paper suggests an alternative approach based on surveys of citizen satisfaction with welfare programs. In the first part of the paper we estimate the level of unemployment benefits... View Details
- Research Summary
Mapping temporal associations among conflict, participation, and changes in teams [Dissertation, data analysis]
This dissertation paper looks at how communication patterns in teams map on to moments of conflict, participation, and changes in the teams’ power structure. I use approximately 240 hours of meeting transcripts (analyzed in STATA, displaying speaking turns by speaker... View Details
- May–June 2015
- Article
Big Data: Big Deal or Big Hype?
By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
- Article
Consistent Covariance Matrix Estimation with Cross-Sectional Dependence and Heteroskedasticity in Cross-Sectional Financial Data
By: K. A. Froot
Keywords: Econometrics; Panel Estimation; Autocorrelation; Heteroskedasticity; Mathematical Methods; Economics
Froot, K. A. "Consistent Covariance Matrix Estimation with Cross-Sectional Dependence and Heteroskedasticity in Cross-Sectional Financial Data." Journal of Financial and Quantitative Analysis 24, no. 3 (September 1989): 333–355. (Revised from NBER Technical Working Paper No. 62.)
- June 2021
- Article
Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative
By: Casey J. Allen, Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala and Matthew H.G. Katz
We used national administrative data to assess multiple domains of value associated with enhanced recovery pathways for patients undergoing pancreatic surgery. Value metrics included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission... View Details
Keywords: Value-based Health Care; Health Care and Treatment; Analytics and Data Science; Outcome or Result; Measurement and Metrics; Performance Improvement
Allen, Casey J., Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala, and Matthew H.G. Katz. "Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative." Journal of Surgical Research 262 (June 2021): 115–120.
- Article
Ensembles of Overfit and Overconfident Forecasts
By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
- 2008
- Conference Presentation
Analyzing and Using Data From Global Positioning Systems and Digital Imagery in Mathematics Courses
By: F. Wattenberg, K. Erickson, J. Helms, K. DeGregory and Hise O. Gibson
Wattenberg, F., K. Erickson, J. Helms, K. DeGregory, and Hise O. Gibson. "Analyzing and Using Data From Global Positioning Systems and Digital Imagery in Mathematics Courses." Paper presented at the 20th International Conference for Technology in Collegiate Mathematics (ICTCM), San Antonio, TX, 2008.