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Show Results For
- All HBS Web
(6,976)
- News (1,210)
- Research (4,343)
- Events (115)
- Multimedia (62)
- Faculty Publications (2,995)
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- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. 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... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
- April 1998
- Supplement
United States Financial Crisis of 1931, Note on Franklin D. Roosevelt, and A Keynesian Cure for The Depression,The Data Supplement
Supplement to (9-384-115), (9-382-073), and (9-382-065). View Details
Keywords: Government and Politics; Economic Slowdown and Stagnation; Financial Crisis; Macroeconomics; United States
Emmons, Willis M., III. "United States Financial Crisis of 1931, Note on Franklin D. Roosevelt, and A Keynesian Cure for The Depression,The Data Supplement." Harvard Business School Supplement 798-093, April 1998.
- 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; Apparel and Accessories 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.)
- 2004
- Teaching Note
Learning to Manage with Data in Duval County Public Schools: Lake Shore Middle School (A) and (B) Case Series, Teaching Note
By: Allen Grossman, James P. Honan and Caroline Joan King
- Research Summary
Clinical Trials as a setting for Health Policy and Management Research
The clinical trial marketplace is in flux. A decade ago, pharmaceutical firms almost exclusively conducted the study of their novel drug compounds within major academic medical centers. But today, industry-sponsored clinical trials are increasingly using community... View Details
- February 2017 (Revised August 2018)
- Case
Sarah Powers at Automated Precision Products
By: Jeffrey T. Polzer, Michael Norris, Julia Kelley and Kristina Tobio
In 2017, Sarah Powers, VP of Sales at an automation hardware firm, is trying to understand why some members of her sales team have been underperforming. She is tasked with analyzing her firm’s email and calendar data to try to find relationships between communications... View Details
Keywords: People Analytics; Sales Attainment; Communication Networks; Data; Human Resources; Business Processes; Sales; Communication; Analytics and Data Science; Analysis; Industrial Products Industry; Manufacturing Industry; United States
Polzer, Jeffrey T., Michael Norris, Julia Kelley, and Kristina Tobio. "Sarah Powers at Automated Precision Products." Harvard Business School Case 417-072, February 2017. (Revised August 2018.)
- February 2021
- Case
Apple: Privacy vs. Safety (A)
By: Henry McGee, Nien-hê Hsieh, Sarah McAra and Christian Godwin
In 2015, Apple CEO Tim Cook debuted the iPhone 6S with enhanced security measures that enflamed a debate on privacy and public safety around the world. The iPhone 6S, amid a heightened concern for privacy following the 2013 revelation of clandestine U.S. surveillance... View Details
Keywords: Iphone; Encryption; Data Privacy; Customers; Customer Focus and Relationships; Decision Making; Ethics; Values and Beliefs; Globalized Firms and Management; Government and Politics; National Security; Law; Law Enforcement; Leadership; Markets; Safety; Social Issues; Corporate Social Responsibility and Impact; Civil Society or Community; Mobile and Wireless Technology; Technology Industry; Consumer Products Industry; Telecommunications Industry; Electronics Industry; United States; China; Hong Kong
McGee, Henry, Nien-hê Hsieh, Sarah McAra, and Christian Godwin. "Apple: Privacy vs. Safety (A)." Harvard Business School Case 321-004, February 2021.
- February 2006
- Article
Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data
By: Lee G. Branstetter, Raymond Fisman and C. Fritz Foley
Keywords: Intellectual Property; Rights; Information Technology; Information; Analytics and Data Science; United States
Branstetter, Lee G., Raymond Fisman, and C. Fritz Foley. "Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data." Quarterly Journal of Economics 121, no. 1 (February 2006): 321–349.
- September 2020 (Revised July 2022)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
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: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- April 2015
- Case
Carolinas HealthCare System: Consumer Analytics
By: John A. Quelch and Margaret L. Rodriguez
In 2014, Dr. Michael Dulin, chief clinical officer for analytics and outcomes research and head of the Dickson Advanced Analytics (DA2) group at Carolinas HealthCare System (CHS), successfully unified all analytics talent and resources into one group over a three year... View Details
Keywords: Consumer Segmentation; Big Data; Management Information Systems; Hospital Management; Health Care and Treatment; Marketing; Segmentation; Analytics and Data Science; Information Management; Information Technology; Health; Health Industry; United States
Quelch, John A., and Margaret L. Rodriguez. "Carolinas HealthCare System: Consumer Analytics." Harvard Business School Case 515-060, April 2015.
- March 1998 (Revised September 1999)
- Supplement
Electronic Data Systems (EDS)Supplement: A Personal Diary of A GVD Experience, Mexico City, October 4, 1997
By: Rosabeth M. Kanter and Thomas Dretler
Supplements the case. View Details
Kanter, Rosabeth M., and Thomas Dretler. "Electronic Data Systems (EDS)Supplement: A Personal Diary of A GVD Experience, Mexico City, October 4, 1997." Harvard Business School Supplement 398-075, March 1998. (Revised September 1999.)
- September 2023
- Article
Customer Churn and Intangible Capital
By: Scott R. Baker, Brian Baugh and Marco Sammon
Intangible capital is a crucial and growing piece of firms’ capital structure, but many of its distinct components are difficult to measure. We develop and make available several new firm-level metrics regarding a key component of intangible capital – firms’ customer... View Details
Keywords: Customer Base; Transaction Data; Customer Churn; Intangible Capital; Capital Structure; Measurement and Metrics; Customers
Baker, Scott R., Brian Baugh, and Marco Sammon. "Customer Churn and Intangible Capital." Journal of Political Economy Macroeconomics 1, no. 3 (September 2023): 447–505.
- July 16, 2015
- Article
How Small Businesses Can Fend Off Hackers
By: Lou Shipley
If you wanted to hack a business, which one would you pick: A Fortune 500 company with a large digital-security budget and a team dedicated to protecting its cyberassets? Or a small enterprise that doesn’t employ a single IT security specialist? Security breaches at... View Details
Keywords: Hack; Data Security; Small Business; Analytics and Data Science; Safety; Information Technology; Cybersecurity
Shipley, Lou. "How Small Businesses Can Fend Off Hackers." Wall Street Journal (July 16, 2015).
- 30 Apr 2024
- Book
When Managers Set Unrealistic Expectations, Employees Cut Ethical Corners
at Wells Fargo (2016), bribery at Odebrecht (2016), sexual harassment at Uber (2017), misuse of personal data at Facebook (2018), airliner safety at Boeing (2019), fraudulent financial reporting at Wirecard (2020), opioid marketing at... View Details
Keywords: by Dina Gerdeman
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Analytics and Data Science; Analysis; Sales; Goods and Commodities; Retail Industry; Consumer Products Industry; United States
- 2005
- Working Paper
Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data
By: Lee Branstetter, Raymond Fisman and C. Fritz Foley
Branstetter, Lee, Raymond Fisman, and C. Fritz Foley. "Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data." NBER Working Paper Series, No. 11516, August 2005.
- 22 Oct 2019
- Research & Ideas
Use Artificial Intelligence to Set Sales Targets That Motivate
of that company’s overall goal. “They put in a proxy that they wanted to not only acquire customers, but retain them as well.” Identify and collect as much relevant data as possible. Once executives View Details
Keywords: by Michael Blanding
- 2021
- White Paper
Working to Learn: Despite a Growing Set of Innovators, America Struggles to Connect Education and Career
By: Joseph B. Fuller, Rachel Lipson, Jorge Encinas, Tessa Forshaw, Alexis Gable and J.B. Schramm
In the wake of COVID-19 and growing inequality, America needs more pathways that bridge education and career. New research from the Project on Workforce at Harvard draws on data from New Profit's Postsecondary Initiative for Equity to identify opportunities for the... View Details
Keywords: COVID-19; Education; Training; Employment; Personal Development and Career; Health Pandemics
Fuller, Joseph B., Rachel Lipson, Jorge Encinas, Tessa Forshaw, Alexis Gable, and J.B. Schramm. "Working to Learn: Despite a Growing Set of Innovators, America Struggles to Connect Education and Career." White Paper, Harvard Business School Project on Managing the Future of Work, March 2021 (Published by the Project on Workforce at the Malcolm Wiener Center for Social Policy at the Harvard Kennedy School and the Harvard Business School Project on Managing the Future of Work.)
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)