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Show Results For
- All HBS Web
(258)
- News (28)
- Research (152)
- Events (4)
- Multimedia (7)
- Faculty Publications (151)
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- 10 Jan 2013
- Working Paper Summaries
The Novelty Paradox & Bias for Normal Science: Evidence from Randomized Medical Grant Proposal Evaluations
- 18 Oct 2022
- Research & Ideas
When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions
in a recent article in Proceedings of the National Academy of Sciences, Harvard Business School professors Eva Ascarza and Ayelet Israeli suggest intervening at points along the algorithm’s decision-making chain using what they call... View Details
Keywords: by Rachel Layne
- 09 Dec 2019
- Research & Ideas
Identify Great Customers from Their First Purchase
Using information collected during a customer’s first purchase, a new marketing tool that leverages machine learning technology can provide firms with valuable predictions about the customer’s future behavior, says Eva Ascarza, a... View Details
- 04 Jun 2024
- Research & Ideas
Navigating Consumer Data Privacy in an AI World
generative artificial intelligence (AI) explodes, companies face balancing individual privacy, coveted data insights, and the law—all while pursuing competitive advantage. Eva Ascarza, the Jakurski Family Associate Professor at Harvard... View Details
- November 2005 (Revised July 2006)
- Background Note
Understanding Economic Value Added
By: Mihir A. Desai, Fabrizio Ferri and Steve Treadwell
Explores the concept of economic value added (EVA) and its practical applications as a management control system for performance measurement and incentive compensation. Explains how EVA is measured and explores some of the adjustments to financial statements that are... View Details
Keywords: Value
Desai, Mihir A., Fabrizio Ferri, and Steve Treadwell. "Understanding Economic Value Added." Harvard Business School Background Note 206-016, November 2005. (Revised July 2006.)
- 31 May 2023
- Research & Ideas
With Predictive Analytics, Companies Can Tap the Ultimate Opportunity: Customers’ Routines
If knowing what customers need is marketing gold, pinpointing exactly when they need it may just be platinum. Services that become part of a customer’s routine may deliver advantages beyond repeat business for a company, Harvard Business School Associate Professor... View Details
- Research Summary
When Should Control Be Shared?
The right to participate in control is one of the primary instruments for protecting
stakeholder interests in a firm. A basic question is how control should be allocated
across a firm's various stakeholders, including investors, employees, customers, and
suppliers.... View Details
- February 2023
- Case
Success Academy Charter Schools
By: Robin Greenwood, Joshua D. Coval, Denise Han, Ruth Page and Dave Habeeb
This stand-alone multimedia case follows the story of Eva Moskowitz and Success Academy, a network of high-performing charter schools in New York City. As a New York City councilor between 1999 and 2006, Moskowitz became frustrated over the inertia and dysfunction in... View Details
Keywords: Business and Government Relations; Performance Effectiveness; Equality and Inequality; Private Sector; Education Industry; New York (city, NY)
Greenwood, Robin, Joshua D. Coval, Denise Han, Ruth Page, and Dave Habeeb. "Success Academy Charter Schools." Harvard Business School Multimedia/Video Case 222-707, February 2023.
- 05 Mar 2019
- First Look
New Research and Ideas, March 5, 2019
non-democracies. The Value of First Impressions: Leveraging Acquisition Data for Customer Management By: Padilla, Nicolas, and Eva Ascarza Abstract— Managing customers effectively is crucial for firms' long-term profitability. By... View Details
Keywords: Dina Gerdeman
- 02 Aug 2016
- First Look
August 2, 2016
forthcoming Organizational Behavior and Human Decision Processes Don't Stop Believing: Rituals Improve Performance by Decreasing Anxiety By: Brooks, Alison Wood, Julianna Schroeder, Jane Risen, Francesca Gino, Adam D. Galinsky, Michael I. Norton, and Maurice Schweitzer... View Details
Keywords: Sean Silverthorne
- March 2024 (Revised April 2024)
- Case
Angel City Football Club: Scoring a New Model
By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
In January 2024, Kara Nortman, Julie Uhrman, and Natalie Portman, the founders of Angel City Football Club (ACFC) were developing the club’s first three-year strategic plan. Founded in 2020, ACFC had a star-studded investor group, including Portman and celebrities such... View Details
Keywords: Sports; Entertainment; Entrepreneurship; Brands and Branding; Venture Capital; Business Model; Corporate Strategy; Digital Marketing; Sports Industry; Entertainment and Recreation Industry; United States; California; Los Angeles
Rayport, Jeffrey F., Jennifer Fonstad, and Nicole Tempest Keller. "Angel City Football Club: Scoring a New Model." Harvard Business School Case 824-192, March 2024. (Revised April 2024.)
- 2020
- Working Paper
Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?
By: Jacqueline N. Lane, Ina Ganguli, Patrick Gaule, Eva C. Guinan and Karim R. Lakhani
We investigate how knowledge similarity between two individuals is systematically related to the likelihood that a serendipitous encounter results in knowledge production. We conduct a natural field experiment at a medical research symposium, where we exogenously... View Details
Keywords: Cognitive Similarity; Knowledge Creation; Knowledge Sharing; Knowledge Dissemination; Relationships
Lane, Jacqueline N., Ina Ganguli, Patrick Gaule, Eva C. Guinan, and Karim R. Lakhani. "Engineering Serendipity: When Does Knowledge Sharing Lead to Knowledge Production?" Harvard Business School Working Paper, No. 20-058, November 2019. (Revised July 2020.)
- May 2021 (Revised August 2021)
- Case
Melissa Wood Health: How to Win in the Creator Economy
By: Eva Ascarza
In October 2020, Melissa Wood-Tepperberg, founder of the digital subscription wellness platform Melissa Wood Health (MWH) and creator of ‘The MWH Method,’ was evaluating the strategic directions of her company. What had started as a way to share workouts and wellness... View Details
Ascarza, Eva. "Melissa Wood Health: How to Win in the Creator Economy." Harvard Business School Case 521-086, May 2021. (Revised August 2021.)
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which... View Details
Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
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: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- January 2021 (Revised May 2021)
- Case
Amazon Shopper Panel: Paying Customers for Their Data
By: Eva Ascarza and Ayelet Israeli
This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details
Keywords: Data Analytics; Data Privacy; Data Management; ＂Marketing Analytics＂; Marketing Communication; Marketing Research; Data-driven Management; E-Commerce Strategy; Ethical Decision Making; CRM; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; Analytics and Data Science; Management; Customer Relationship Management; Ethics; E-commerce; Retail Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised May 2021.)
- July 2021 (Revised October 2021)
- Case
Allianz Customer Centricity: Is Simplicity the Way Forward?
By: Eva Ascarza and Emilie Billaud
This case explores the tradeoffs between product personalization and simplicity as companies grow. The case presents an opportunity to understand whether and how each of these approaches enables and/or limits companies’ abilities to provide customer satisfaction while... View Details
Keywords: Simplicity; Customer Focus and Relationships; Customization and Personalization; Customer Satisfaction; Performance Efficiency; Strategy; Insurance Industry; Europe; Germany
Ascarza, Eva, and Emilie Billaud. "Allianz Customer Centricity: Is Simplicity the Way Forward?" Harvard Business School Case 522-008, July 2021. (Revised October 2021.)
- September 2020 (Revised July 2022)
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)