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Show Results For
- All HBS Web
(7,709)
- People (3)
- News (1,301)
- Research (4,872)
- Events (107)
- Multimedia (54)
- Faculty Publications (3,303)
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- October 2002 (Revised February 2003)
- Case
Administrative Data Project (A)
By: Lynda M. Applegate and Donald E. Heller
Encourages analysis of the implementation of a large technical infrastructure and process transformation project within a university setting. Enables an instructor to teach change management, leadership, and technical project management skills. View Details
Keywords: Teaching; Change Management; Management Practices and Processes; Transformation; Learning; Competency and Skills; Leadership Development; Non-Governmental Organizations; Education Industry
Applegate, Lynda M., and Donald E. Heller. "Administrative Data Project (A)." Harvard Business School Case 803-051, October 2002. (Revised February 2003.)
- 2023
- Working Paper
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders utilize machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Borrowing and Debt; Credit; AI and Machine Learning; Welfare; Well-being; Developing Countries and Economies; Equality and Inequality
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Harvard Business School Working Paper, No. 23-076, April 2023. (Revised November 2023. SSRN Working Paper Series, November 2023)
- 09 Dec 2015
- Working Paper Summaries
Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life
- May–June 2018
- Article
Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations
By: Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh and David Moore
Cost-effectiveness studies of medical innovations often suffer from data inadequacy. When Markov chains are used as a modeling framework for such studies, this data inadequacy can manifest itself as imprecision in the elements of the transition matrix. In this paper,... View Details
Keywords: Markov Chains; Cost Effectiveness; Medical Innovations; Colorectal Cancer; Health Care and Treatment; Cost vs Benefits; Innovation and Invention; Mathematical Methods; Health Industry
Goh, Joel, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, and David Moore. "Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations." Operations Research 66, no. 3 (May–June 2018): 697–715. (Winner, 2014 INFORMS Health Applications Society Pierskalla Award & Finalist, 2014 INFORMS George E. Nicholson student paper competition.)
- 27 Sep 2018
- Working Paper Summaries
Large-Scale Demand Estimation with Search Data
- 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).
- 11 Oct 2018
- Cold Call Podcast
Baseball’s Billy Beane Shows Companies the Power of Data
- 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
- 2018
- Simulation
Financial Analysis Simulation: Data Detective
By: Suraj Srinivasan and V.G. Narayanan
In this simulation, students learn to identify typical industry characteristics revealed in financial data. Equipped with an interactive and flexible set of tools, students analyze disguised financials and—using their knowledge of operational practices and reasoning... View Details
Keywords: Financial Analysis; Financial Accounting; Financial Ratios; Accounting; Financial Statements; Analysis
Srinivasan, Suraj, and V.G. Narayanan. "Financial Analysis Simulation: Data Detective." Core Curriculum Readings Series. Simulation and Teaching Note. Boston: Harvard Business Publishing 8742, 2018. Electronic.
- 2008
- Working Paper
Attracting Flows by Attracting Big Clients: Conflicts of Interest and Mutual Fund Portfolio Choice
By: Lauren Cohen and Breno Schmidt
We explore a new channel for attracting inflows using a unique dataset of corporate 401(k) retirement plans and their mutual fund family trustees. Families secure substantial inflows by being named trustee of a 401(k) plan. This affords the plan sponsor potential... View Details
Keywords: Investment Funds; Investment Portfolio; Conflict of Interests; Financial Services Industry
Cohen, Lauren, and Breno Schmidt. "Attracting Flows by Attracting Big Clients: Conflicts of Interest and Mutual Fund Portfolio Choice." Harvard Business School Working Paper, No. 08-054, January 2008. (Winner of the Barclays Global Investors Best Paper Prize, Asset Allocation Symposium, European Finance Association 2006. Winner of the Society of Quantitative Analysts Award, Best Paper in Quantitative Investments, Western Finance Association 2007.)
- January 2002
- Case
Relational Data Models in Enterprise-Level Information Systems
Provides an overview of some important aspects of the relational data models that underlie today's enterprise-level information technologies, such as enterprise resource planning and customer relationship management. Key concepts covered include relational data and... View Details
Keywords: Information Technology
Cotteleer, Mark J. "Relational Data Models in Enterprise-Level Information Systems." Harvard Business School Case 602-114, January 2002.
- 04 Jun 2024
- Research & Ideas
Navigating Consumer Data Privacy in an AI World
Harnessing customer data well is central to any modern business, as is earning consumers’ trust that their information will stay private. With data breaches growing more common, regulations are tightening... View Details
- 2012
- Working Paper
Information Technology and Boundary of the Firm: Evidence from Plant-Level Data
By: Chris Forman and Kristina McElheran
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
Keywords: Information Technology; Technology Adoption; Production; Factories, Labs, and Plants; Vertical Integration; Supply Chain; Manufacturing Industry; United States
Forman, Chris, and Kristina McElheran. "Information Technology and Boundary of the Firm: Evidence from Plant-Level Data." Harvard Business School Working Paper, No. 12-092, April 2012.
- 2022
- Article
Data Poisoning Attacks on Off-Policy Evaluation Methods
By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.
- 11 Jan 2018
- Working Paper Summaries
Brokers and Order Flow Leakage: Evidence from Fire Sales
- 2010
- Working Paper
Report on the State of Available Data for the Study of International Trade and Foreign Direct Investment
By: Robert C. Feenstra, Robert E. Lipsey, Lee G. Branstetter, C. Fritz Foley, James Harrigan, J. Bradford Jensen, Lori Kletzer, Catherine Mann, Peter K. Schott and Greg C. Wright
This report, prepared for the Committee on Economic Statistics of the American Economic Association, examines the state of available data for the study of international trade and foreign direct investment. Data on values of imports and exports of goods are of high... View Details
Keywords: Trade; Foreign Direct Investment; Price; Globalization; Policy; Information; Intellectual Property
Feenstra, Robert C., Robert E. Lipsey, Lee G. Branstetter, C. Fritz Foley, James Harrigan, J. Bradford Jensen, Lori Kletzer, Catherine Mann, Peter K. Schott, and Greg C. Wright. "Report on the State of Available Data for the Study of International Trade and Foreign Direct Investment." NBER Working Paper Series, No. 16254, August 2010.
- March 2024 (Revised May 2024)
- Case
Amperity: First-Party Data at a Crossroads
By: Elie Ofek, Hema Yoganarasimhan and Alexis Lefort
In the summer of 2023, Amperity management was facing a critical decision on its future direction. Given the dramatic changes occurring within the digital advertising ecosystem, as concerns over consumer privacy placed limits on the ability to engage in third-party... View Details
Keywords: AI and Machine Learning; Technology Adoption; Business Strategy; Digital Marketing; Price; Product; Business or Company Management; Advertising Industry
Ofek, Elie, Hema Yoganarasimhan, and Alexis Lefort. "Amperity: First-Party Data at a Crossroads." Harvard Business School Case 524-017, March 2024. (Revised May 2024.)
- 2020
- Working Paper
Currency Hedging in Emerging Markets: Managing Cash Flow Exposure
By: Laura Alfaro, Mauricio Calani and Liliana Varela
Foreign currency derivative markets are among the largest in the world, yet their role in emerging markets in particular, is relatively understudied. We study firms' currency risk exposure and their hedging choices by employing a unique dataset covering the universe of... View Details
Keywords: Foreign Currency Hedging; FX Derivatives; Foreign Currency Debt; Currency Mismatch; Trade Credit; Currency; Cash Flow; Emerging Markets
Alfaro, Laura, Mauricio Calani, and Liliana Varela. "Currency Hedging in Emerging Markets: Managing Cash Flow Exposure." Harvard Business School Working Paper, No. 21-096, March 2021.
- February 2022
- Case
CityScore: Big Data Comes to Boston
By: Boris Groysberg and Sarah L. Abbott
In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in... View Details
Keywords: Analytics and Data Science; Government Administration; Leadership; Transformation; City; Measurement and Metrics; Public Administration Industry; Boston; United States
Groysberg, Boris, and Sarah L. Abbott. "CityScore: Big Data Comes to Boston." Harvard Business School Case 422-050, February 2022.
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)