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  • March 2022 (Revised August 2022)
  • Case

Proximie: Using XR Technology to Create Borderless Operating Rooms

By: Ariel D. Stern and Alpana Thapar
In mid-January 2022, Nadine Hachach-Haram, founder and CEO of Proximie, was thinking about the company’s growth plans. Launched in 2016, Proximie was a platform that enabled clinicians, proctors, and medical device company personnel to be virtually present in operating... View Details
Keywords: Growth and Development Strategy; Technological Innovation; Partners and Partnerships; Strategic Planning; Health Care and Treatment; Analytics and Data Science; Digital Platforms; Health Industry; Lebanon; United Kingdom; United States
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Stern, Ariel D., and Alpana Thapar. "Proximie: Using XR Technology to Create Borderless Operating Rooms." Harvard Business School Case 622-082, March 2022. (Revised August 2022.)
  • 2025
  • Working Paper

Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

By: Ta-Wei Huang and Eva Ascarza
As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
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Huang, Ta-Wei, and Eva Ascarza. "Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach." Harvard Business School Working Paper, No. 24-034, December 2023. (Revised March 2025.)
  • 09 May 2018
  • Research & Ideas

A Simple Way for Restaurant Inspectors to Improve Food Safety

fix those problems. The researchers studied a sampling of data from Hazel Analytics, which gathers food safety inspections from local governments across the United States. The sample included information on 12,017 inspections by 86... View Details
Keywords: by Carmen Nobel; Food & Beverage; Service
  • 2023
  • Article

Evaluating Explainability for Graph Neural Networks

By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
Keywords: Analytics and Data Science
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Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
  • July 2002 (Revised June 2003)
  • Case

Microsoft Financial History

By: William A. Sahlman
Contains background financial data on Microsoft as of mid-2001. View Details
Keywords: History; Analytics and Data Science; Crime and Corruption; Profit
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Sahlman, William A. "Microsoft Financial History." Harvard Business School Case 803-018, July 2002. (Revised June 2003.)
  • April–May 2024
  • Article

Gone with the Big Data: Institutional Lender Demand for Private Information

By: Jung Koo Kang
I explore whether big-data sources can crowd out the value of private information acquired through lending relationships. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in financial markets. As a shock... View Details
Keywords: Analytics and Data Science; Borrowing and Debt; Financial Markets; Value; Knowledge Dissemination; Financing and Loans
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Kang, Jung Koo. "Gone with the Big Data: Institutional Lender Demand for Private Information." Art. 101663. Journal of Accounting & Economics 77, nos. 2-3 (April–May 2024).
  • November 1990
  • Case

Chemplan Corp.: Paint-Rite Division

By: Paul A. Vatter
An exercise with data that allows a discussion of regression analysis as a tool for forecasting and understanding structure. View Details
Keywords: Forecasting and Prediction; Framework; Analytics and Data Science; Mathematical Methods
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Vatter, Paul A. "Chemplan Corp.: Paint-Rite Division." Harvard Business School Case 191-090, November 1990.
  • January 2019
  • Case

Data.gov (Abridged)

By: Karim R. Lakhani, Robert D. Austin and Yumi Yi
This case presents the logic and execution underlying the launch of Data.gov, an instantiation of President Obama's initiative for transparency and open government. The process used by Vivek Kundra, the federal CIO, and his team to rapidly develop the website and to... View Details
Keywords: Safety; Rights; Analytics and Data Science; Internet and the Web; Ethics; Cost vs Benefits; Innovation and Management; Information Management; Public Administration Industry; Information Industry; United States
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Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov (Abridged)." Harvard Business School Case 619-043, January 2019.
  • November 2016
  • Case

QuintilesIMS: Biosimilar Marketing in England

By: John A. Quelch and Emily C. Boudreau
QuintilesIMS was a leading healthcare consulting firm best known for its data and information offerings as well as its market research and management consulting services for life science companies. By 2015, the company was expanding beyond the biopharmaceutical... View Details
Keywords: Health; Pharmaceutical Industry; Biotech; Marketing; Health Care and Treatment; Biotechnology Industry; England
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Quelch, John A., and Emily C. Boudreau. "QuintilesIMS: Biosimilar Marketing in England." Harvard Business School Case 517-054, November 2016.
  • Article

Market Interest in Nonfinancial Information

By: R. G. Eccles, Michael P. Krzus and George Serafeim
Market interest in nonfinancial (e.g., Environmental, Social, and Governance [ESG]) information, including data produced by the Carbon Disclosure Project (CDP), is growing. Using data from Bloomberg we analyze this interest from a variety of different perspectives, and... View Details
Keywords: Markets; Analytics and Data Science; Perspective; Environmental Sustainability; Social Issues; Corporate Disclosure; Projects; Interests
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Eccles, R. G., Michael P. Krzus, and George Serafeim. "Market Interest in Nonfinancial Information." Journal of Applied Corporate Finance 23, no. 4 (Fall 2011): 113–127.
  • January 1995 (Revised November 1996)
  • Case

Avalon Information Services, Inc.

By: Lynn S. Paine and Wilda White
The Privacy Review Committee of Avalon Information Services must decide how to deal with concerns voiced by its retail supermarket customers about the privacy of consumer data collected through Avalon's point-of-sale data collection program. One customer is proposing... View Details
Keywords: Mission and Purpose; Safety; Demand and Consumers; Rights; Analytics and Data Science; Information Technology; Ethics; Information Industry
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Paine, Lynn S., and Wilda White. "Avalon Information Services, Inc." Harvard Business School Case 395-036, January 1995. (Revised November 1996.)
  • January 2004
  • Case

Macroeconomic Policy and the State of the U.S. Economy, 2003

By: David A. Moss
Based on excerpts from Federal Reserve Chairman Alan Greenspan's testimony before the U.S. Senate Committee on Banking, Housing, and Urban Affairs on July 16, 2003, as well as economic data that were available to Chairman Greenspan at the time. Taken together, the text... View Details
Keywords: Macroeconomics; Banks and Banking; Policy; Housing; Analytics and Data Science; Problems and Challenges; Urban Development; United States
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Moss, David A. "Macroeconomic Policy and the State of the U.S. Economy, 2003." Harvard Business School Case 704-030, January 2004.
  • 01 Dec 2015
  • First Look

December 1, 2015

the concrete promises of applying neuroscience to consumer psychology. Building from this, we focus on using brain data to predict consumer behavior, a topic that has recently generated a lot of excitement from academics and practitioners... View Details
Keywords: Sean Silverthorne
  • February 2011 (Revised November 2011)
  • Supplement

Berkshire Partners: Bidding for Carter's (CW)

By: Malcolm P. Baker and David Lane
Supplemental data on comparable companies to Burger King including both public companies and similar transactions. View Details
Keywords: Leveraged Buyouts; Analytics and Data Science; Bids and Bidding; Financial Services Industry
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Baker, Malcolm P., and David Lane. "Berkshire Partners: Bidding for Carter's (CW)." Harvard Business School Spreadsheet Supplement 211-709, February 2011. (Revised November 2011.)
  • 27 Oct 2010
  • Working Paper Summaries

Prosocial Spending and Well-Being: Cross-Cultural Evidence for a Psychological Universal

Keywords: by Lara B. Aknin, Elizabeth W. Dunn, Christopher P. Barrington-Leigh, John Helliwell, Robert Biswas-Diener, Imelda Kemeza, Paul Nyende, Claire Ashton-James & Michael I. Norton
  • May 2010 (Revised May 2010)
  • Case

Data.gov

By: Karim R. Lakhani, Robert D. Austin and Yumi Yi
This case presents the logic and execution underlying the launch of Data.gov, an instantiation of President Obama's initiative for transparency and open government. The process used by Vivek Kundra, the federal CIO, and his team to rapidly develop the website and to... View Details
Keywords: Safety; Rights; Analytics and Data Science; Internet and the Web; Ethics; Cost vs Benefits; Innovation and Management; Information Management; Public Administration Industry; Information Industry; United States
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Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov." Harvard Business School Case 610-075, May 2010. (Revised May 2010.)
  • 10 May 2016
  • First Look

May 10, 2016

before. However, big data will not solve large urban social science questions on its own. Big data has the most value for the study of cities when it allows measurement of the... View Details
Keywords: Carmen Nobel
  • 2023
  • Article

Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
  • June 1992 (Revised March 2006)
  • Case

Concordia Casting Company

By: F. Warren McFarlan
Describes five years of development in a centralized data processing activity serving a highly decentralized corporation. Data processing manager discovers that a major software system conversion is a full year behind schedule, and subsequently makes several managerial... View Details
Keywords: Analytics and Data Science; Applications and Software; System; Information Technology; Change Management; Organizational Change and Adaptation; Leadership Style; Leading Change; Human Resources; Conflict and Resolution; Supply Chain Management; Accounting; Auto Industry
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McFarlan, F. Warren. "Concordia Casting Company." Harvard Business School Case 192-151, June 1992. (Revised March 2006.)
  • October 2022 (Revised December 2022)
  • Case

SMART: AI and Machine Learning for Wildlife Conservation

By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
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Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
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