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- All HBS Web
(1,570)
- News (204)
- Research (1,142)
- Events (16)
- Multimedia (1)
- Faculty Publications (672)
Eva Ascarza
Eva Ascarza is the Jakurski Family Associate Professor of Business Administration in the Marketing Unit. She is the co-founder of the Customer Intelligence Lab at the D^3 institute at Harvard Business School. She teaches the Marketing core in the MBA required... View Details
- 11 Apr 2023
- Research & Ideas
Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide
estate company—they have a lot of buildings,” says MarcAntonio Awada, head of research and data science at the Digital, Data, and Design... View Details
- 21 May 2013
- First Look
First Look: May 21
managers who implemented formal performance management systems and invested in sophisticated data analytics. From 1998 to 2007 (phase two), these... View Details
Keywords: Sean Silverthorne
- 2012
- Article
Exploring Re-Identification Risks in Public Domains
By: Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle
While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two... View Details
- 16 May 2016
- News
The Airplane As A Microcosm Of Class Divisions
Waze Connected Citizens Program
Di-Ann Eisnor, Director of Growth at Waze, founded the company’s Connected Citizens Program (CCP), a data-sharing partnership that provided officials with traffic incident and congestion data in exchange for data on anticipated road closures, re-routing, etc.... View Details
- 2020
- Book
The Power of Experiments: Decision-Making in a Data-Driven World
By: Michael Luca and Max H. Bazerman
Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of changes to an... View Details
Keywords: Experiments; Randomized Controlled Trials; Organizations; Decision Making; Analytics and Data Science; Management Analysis, Tools, and Techniques
Luca, Michael, and Max H. Bazerman. The Power of Experiments: Decision-Making in a Data-Driven World. Cambridge, MA: MIT Press, 2020.
- 26 May 2015
- First Look
First Look: May 26
strategic priorities. This article explains core links between selling initiatives and basic drivers of enterprise value, and it provides suggestions about how best to communicate strategy to busy people in... View Details
Keywords: Sean Silverthorne
- 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
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 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
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 Dec 2019
- Research & Ideas
Identify Great Customers from Their First Purchase
School. By incorporating data most companies discard, Ascarza and her co-researcher devised an algorithm capable of quickly analyzing more than 40 variables to create a “first impression” of the customer... View Details
- 16 Aug 2016
- First Look
August 16, 2016
Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=51488 June 2016 American Journal of Managed Care When Doctors Go to Business School: Career Choices of Physician-MBAs By: Ljuboja, Damir, Brian W. Powers, Benjamin Robbins,... View Details
Keywords: Sean Silverthorne
Zhongming Jiang
Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer... View Details
- February 1985 (Revised August 1985)
- Supplement
Computervision-Japan (C)
Presents sales data for 1983 and 1984. View Details
Moriarty, Rowland T., Jr. "Computervision-Japan (C)." Harvard Business School Supplement 585-157, February 1985. (Revised August 1985.)
- 2008
- Working Paper
Modern Management: Good for the Environment or Just Hot Air?
By: Nicholas Bloom, Christos Genakos, Ralf Martin and Raffaella Sadun
We use an innovative methodology to measure management practices in over 300 manufacturing firms in the UK. We then match this management data to production and energy usage information for establishments owned by these firms. We find that establishments in better... View Details
Keywords: Energy Conservation; Management Practices and Processes; Performance Productivity; Environmental Sustainability; Pollutants; Manufacturing Industry; United Kingdom
Bloom, Nicholas, Christos Genakos, Ralf Martin, and Raffaella Sadun. "Modern Management: Good for the Environment or Just Hot Air?" NBER Working Paper Series, No. 14394, October 2008.
- 18 Apr 2017
- First Look
First Look at New Ideas, April 18
March 27, 2017 Harvard Business Review How the Water Industry Learned to Embrace Data By: Cespedes, Frank V., and Amir Peleg Abstract—Most current talk about “big data” seems to assume the disintermediation... View Details
Keywords: by Sean Silverthorne
- February 2006 (Revised March 2008)
- Case
ChoicePoint (A)
By: Lynn S. Paine and Zack Phillips
The CEO of ChoicePoint, a leading company in the rapidly growing U.S. personal data industry, must reexamine the company's business model after a serious breach of data security affecting some 145,000 U.S. citizens. He must decide on steps to strengthen data protection... View Details
Keywords: Business Model; Safety; Rights; Analytics and Data Science; Ethics; Information Technology; Information Industry; United States
Paine, Lynn S., and Zack Phillips. "ChoicePoint (A)." Harvard Business School Case 306-001, February 2006. (Revised March 2008.)
- October 2008
- Article
Organizational Responses to Environmental Demands: Opening the Black Box
By: Magali Delmas and Michael W. Toffel
This paper combines new and old institutionalism to explain differences in organizational strategies. We propose that differences in the influence of corporate departments lead their facilities to prioritize different external pressures and thus adopt different... View Details
Delmas, Magali, and Michael W. Toffel. "Organizational Responses to Environmental Demands: Opening the Black Box." Strategic Management Journal 29, no. 10 (October 2008): 1027–1055.
John A. Deighton
John Deighton is The Harold M. Brierley Professor of Business Administration Emeritus at Harvard Business School. He is an authority on consumer behavior and marketing, with a focus on digital and direct marketing. He teaches in the area of Big Data in Marketing,... View Details
- February 2007 (Revised May 2008)
- Supplement
Bancaja: Developing Customer Intelligence (B)
In 1996, CEO Fernando Garcia Checa wanted to make customer analytics a part of Bancaja's new strategy. Bancaja, a savings bank based in Valencia, Spain, was expanding and wanted to exploit customer information to increase commercial effectiveness. At the same time, it... View Details
Keywords: Customer Relationship Management; Credit Cards; Analytics and Data Science; Knowledge Use and Leverage; Marketing Strategy; Banking Industry; Spain
Martinez-Jerez, Francisco de Asis, and Katherine Miller. "Bancaja: Developing Customer Intelligence (B)." Harvard Business School Supplement 107-066, February 2007. (Revised May 2008.)