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Show Results For
- All HBS Web
(6,962)
- News (1,207)
- Research (4,328)
- Events (115)
- Multimedia (63)
- Faculty Publications (2,983)
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- August 1984 (Revised May 1992)
- Case
MCI Telecommunications Corp. (C): Data Communications Market Opportunity Assessment
By: John F. Cady and Frank V. Cespedes
Cady, John F., and Frank V. Cespedes. "MCI Telecommunications Corp. (C): Data Communications Market Opportunity Assessment." Harvard Business School Case 585-097, August 1984. (Revised May 1992.)
- December 1996 (Revised August 1998)
- Teaching Note
General Mills, Inc.: Appendix of Comparable Company Data TN
Teaching Note for (9-197-037). View Details
Keywords: Food and Beverage Industry
- September 2010
- Article
Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?
By: Saravanan Kesavan, Vishal Gaur and Ananth Raman
Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details
Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States
Kesavan, Saravanan, Vishal Gaur, and Ananth Raman. "Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?" Management Science 56, no. 9 (September 2010): 1519–1533.
- December 1987
- Article
A Stochastic Three-Way Unfolding Model for Asymmetric Binary Data
By: Wayne S. DeSarbo, Donald R. Lehmann, Morris B. Holbrook, William J. Havlena and Sunil Gupta
DeSarbo, Wayne S., Donald R. Lehmann, Morris B. Holbrook, William J. Havlena, and Sunil Gupta. "A Stochastic Three-Way Unfolding Model for Asymmetric Binary Data." Applied Psychological Measurement 11 (December 1987): 397–418.
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
training for various reasons.” Rachel Layne: What is machine “unlearning” and why is it important? Seth Neel: Before defining machine unlearning, maybe it's good to set a baseline of what machine learning... 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
- 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
The Internal Economics of the Firm: Evidence from Personnel Data
By: George P. Baker, Michael Gibbs and Bengt Holmstrom
Baker, George P., Michael Gibbs, and Bengt Holmstrom. "The Internal Economics of the Firm: Evidence from Personnel Data." Quarterly Journal of Economics 109, no. 4 (November 1994).
- 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
- August 2001
- Article
Technology as a Complex Adaptive System: Evidence from Patent Data
Fleming, L., and O. Sorenson. "Technology as a Complex Adaptive System: Evidence from Patent Data." Research Policy 30, no. 7 (August 2001).
- September 1987
- Article
Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data
By: J. Frankel and K. A. Froot
Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Japan; United States
Frankel, J., and K. A. Froot. "Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data." Journal of the Japanese and International Economies 1 (September 1987): 249–274. (Revised from NBER Working Paper No. 2216, April 1987.)
- 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).
- February 2021
- Tutorial
T-tests: Theory and Practice
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with... View Details
- April 1988
- Article
Nihon Kigyou no Kokusai Teikei Senryaku: Data ni Motozuku Genjou Bunseki (International Collaboration Strategy of Japanese Firms: New Findings from Data Analysis)
By: Hirotaka Takeuchi and Hiroshi Kobayashi
Takeuchi, Hirotaka, and Hiroshi Kobayashi. "Nihon Kigyou no Kokusai Teikei Senryaku: Data ni Motozuku Genjou Bunseki (International Collaboration Strategy of Japanese Firms: New Findings from Data Analysis)." Hitotsubashi bijinesu rebyū [Hitotsubashi Business Review] (April 1988).
- 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.
- 2011
- Chapter
Between Global and Local: The Invention of Data Privacy in the United States and France
Keywords: Social Issues; Knowledge Management; Information Management; Rights; United States; France
Trumbull, J. Gunnar. "Between Global and Local: The Invention of Data Privacy in the United States and France." In The Voice of the Citizen Consumer: A History of Market Research, Consumer Movements, and the Political Public Sphere, edited by Kerstin Bruckweh. Oxford: Oxford University Press, 2011.
- 2025
- White Paper
Data & Technology in Action: Community Colleges Advancing Economic Mobility
By: Joseph B. Fuller, Kerry McKittrick and Amanda Holloway
Fuller, Joseph B., Kerry McKittrick, and Amanda Holloway. "Data & Technology in Action: Community Colleges Advancing Economic Mobility." White Paper, Project on Workforce at Harvard, February 2025.
- Article
Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis
By: R. Metters, F. Frei and V. Vargas
Metters, R., F. Frei, and V. Vargas. "Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis." Production and Operations Management 8, no. 3 (Fall 1999): 264–281.