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Show Results For
- All HBS Web
(7,125)
- News (1,271)
- Research (4,399)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,068)
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- July 1987
- Case
Frito-Lay, Inc.: The New Data Center
Cash, James I., Jr. "Frito-Lay, Inc.: The New Data Center." Harvard Business School Case 188-018, July 1987.
- November 1998
- Article
Modeling Large Data Sets in Marketing
By: Sridhar Balasubramanian, Sunil Gupta, Wagner Kamakura and Michel Wedel
Balasubramanian, Sridhar, Sunil Gupta, Wagner Kamakura, and Michel Wedel. "Modeling Large Data Sets in Marketing." Special Issue on Large Data Sets in Business Economics. Statistica Neerlandica 52, no. 3 (November 1998).
- 2021
- Working Paper
Corporate Environmental Impact: Measurement, Data and Information
By: David Freiberg, DG Park, George Serafeim and T. Robert Zochowski
As an organization’s environmental impact has become a central societal consideration, thereby affecting industry and organizational competitiveness, interest in measuring and analyzing environmental impact has increased. We develop a methodology to derive comparable... View Details
Keywords: Environment; Impact; Measurement; Environmental Ratings; Corporate Valuation; Financial Materiality; Sustainability; Environmental Impact; Environmental Strategy; Impact-Weighted Accounts; IWAI; Environmental Sustainability; Corporate Social Responsibility and Impact; Measurement and Metrics; Valuation
Freiberg, David, DG Park, George Serafeim, and T. Robert Zochowski. "Corporate Environmental Impact: Measurement, Data and Information." Harvard Business School Working Paper, No. 20-098, March 2020. (Revised February 2021.)
- March–April 1979
- Article
Managing the Crises in Data Processing
By: R. L. Nolan
Nolan, R. L. "Managing the Crises in Data Processing." Harvard Business Review 57, no. 2 (March–April 1979).
- April 1991 (Revised May 2017)
- Teaching Note
Automatic Data Processing: The EFS Decision
By: Robert Simons
Teaching Note for (9-190-059). View Details
- November 1989 (Revised November 1999)
- Case
Automatic Data Processing: The EFS Decision
By: Robert L. Simons and Hilary Weston
Illustrates how ADP's top management uses formal planning and control systems to establish strategic boundaries for its business units. Top management has developed a detailed list of strategic criteria that ADP managers use to evaluate products and business units, as... View Details
Simons, Robert L., and Hilary Weston. "Automatic Data Processing: The EFS Decision." Harvard Business School Case 190-059, November 1989. (Revised November 1999.)
- March 1987 (Revised June 1987)
- Case
Automatic Data Processing, Inc.: Computer Services
Konsynski, Benn R. "Automatic Data Processing, Inc.: Computer Services." Harvard Business School Case 187-044, March 1987. (Revised June 1987.)
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- November 2023
- Article
Federated Electronic Health Records for the European Health Data Space
By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
- December 2011
- Article
Data Impediments to Empirical Work on Health Insurance Markets
By: Leemore S. Dafny, David Dranove, Frank Limbrock and Fiona Scott Morton
We compare four datasets that researchers might use to study competition in the health insurance industry. We show that the two datasets most commonly used to estimate market concentration differ considerably from each other (both in levels and in changes over time),... View Details
Dafny, Leemore S., David Dranove, Frank Limbrock, and Fiona Scott Morton. "Data Impediments to Empirical Work on Health Insurance Markets." B.E. Journal of Economic Analysis & Policy 11, no. 2 (December 2011).
- 09 Oct 2020
- Working Paper Summaries
Where the Cloud Rests: The Economic Geography of Data Centers
Keywords: by Shane Greenstein and Tommy Pan Fang
- October 2021
- Case
CrisisReady: Private Data for Public Good
By: Tarun Khanna and James Barnett
In October 2021, CRISISREADY.io considers how and if it should scale operations. View Details
- August 1982 (Revised January 1989)
- Teaching Note
Perkin-Elmer: Data Systems Group, Teaching Note
By: Robert J. Dolan
- October 1982
- Case
Data Resources, Inc.: The Tire-Production Forecast
Keywords: Forecasting and Prediction
Schleifer, Arthur, Jr. "Data Resources, Inc.: The Tire-Production Forecast." Harvard Business School Case 183-096, October 1982.
- August 1992 (Revised February 1994)
- Background Note
Note on Data Protection in Sweden
By: Lynn S. Paine
Paine, Lynn S. "Note on Data Protection in Sweden." Harvard Business School Background Note 393-035, August 1992. (Revised February 1994.)
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 17 May 2007
- Working Paper Summaries
The Price of Capital: Evidence from Trade Data
Keywords: by Laura Alfaro & Faisal Z. Ahmed
- 2023
- Working Paper
Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation
By: Sam (Ruiqing) Cao and Marco Iansiti
The increasing availability of data can afford dynamic competitive advantages among data-intensive
corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks.
We analyze the role of two technological features of data... View Details
Keywords: Organizations; Information Technology; Performance Productivity; Growth and Development; Transformation
Cao, Sam (Ruiqing), and Marco Iansiti. "Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation." Harvard Business School Working Paper, No. 21-122, May 2021. (Revised November 2023.)
- 16 Oct 2019
- Working Paper Summaries