Filter Results
:
(109)
Show Results For
-
All HBS Web
(443)
- Faculty Publications (109)
Show Results For
-
All HBS Web
(443)
- Faculty Publications (109)
Privacy →
Page 1 of
109
Results
→
- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,...
View Details
Keywords:
Data;
Data Analytics;
Retail;
Retail Analytics;
Data Science;
Business Analytics;
Marketing;
"Marketing Analytics";
Ecommerce;
Omnichannel;
Omnichannel Retailing;
Omnichannel Retail;
DTC;
Direct To Consumer Marketing;
Ethical Decision Making;
Algorithmic Bias;
Privacy;
A/B Testing;
Descriptive Analytics;
Prescriptive Analytics;
Predictive Analytics;
Analytics and Data Science;
Retail Industry
Israeli, Ayelet. "Data-Driven Marketing in Retail Markets." Harvard Business School Module Note 524-062, February 2024.
- January 2024 (Revised February 2024)
- Course Overview Note
Managing Customers for Growth: Course Overview for Students
By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of...
View Details
Keywords:
Customer Relationship Management;
Telecommunications Industry;
Technology Industry;
Financial Services Industry;
Education Industry;
Travel Industry
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
- 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.
- December 2023
- Case
Monsters in the Machine? Tackling the Challenge of Responsible AI
By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across...
View Details
- November 2023 (Revised March 2024)
- Technical Note
Customer Data Privacy
By: Eva Ascarza and Ta-Wei Huang
This note provides an overview of the evolving landscape of customer data privacy in 2023. It highlights two pivotal aspects that make privacy a central concern for businesses: building and maintaining customer trust and navigating the intricate regulatory...
View Details
Keywords:
Retail Industry;
Technology Industry;
Financial Services Industry;
Telecommunications Industry
Ascarza, Eva, and Ta-Wei Huang. "Customer Data Privacy." Harvard Business School Technical Note 524-005, November 2023. (Revised March 2024.)
- November 2023
- Article
Federated Electronic Health Records for the European Health Data Space
By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic...
View Details
Keywords:
Analytics and Data Science;
Cybersecurity;
Information Management;
Knowledge Sharing;
Knowledge Use and Leverage;
Health Industry
Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
- August 2023
- Supplement
Apple: Privacy vs. Safety (C)
By: Henry McGee, Nien-hê Hsieh and Kerry Herman
In September 2021, Apple decided to delay updates to iOS and iPadOS that included features to fight child sexual abuse. While many—including prominent privacy and security experts—praised Apple, others were opposed. They saw Apple introducing features that risked...
View Details
Keywords:
Corporate Social Responsibility and Impact;
Values and Beliefs;
Public Opinion;
Applications and Software;
Leadership
McGee, Henry, Nien-hê Hsieh, and Kerry Herman. "Apple: Privacy vs. Safety (C)." Harvard Business School Supplement 324-033, August 2023.
- 2023
- Article
Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma
By: Nazlı Sönmez, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell and Kamalini Ramdas
In Shared Medical Appointments (SMAs), patients with similar conditions meet the physician together and each receives one-on-one attention. SMAs can improve outcomes and physician productivity. Yet privacy concerns have stymied adoption. In physician-deprived nations,...
View Details
Sönmez, Nazlı, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell, and Kamalini Ramdas. "Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma." e0001648. PLoS Global Public Health 3, no. 7 (2023).
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea...
View Details
Keywords:
Algorithm Bias;
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Pricing Algorithms;
A/B Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
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
- June 2023
- Article
The Salary Taboo: Privacy Norms and the Diffusion of Information
By: Zoë Cullen and Ricardo Perez-Truglia
The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of...
View Details
Keywords:
Search Costs;
Privacy;
Norms;
Compensation;
Financial Industry;
Field Experiment;
Knowledge Dissemination;
Equality and Inequality;
Gender;
Compensation and Benefits;
Societal Protocols
Cullen, Zoë, and Ricardo Perez-Truglia. "The Salary Taboo: Privacy Norms and the Diffusion of Information." Art. 104890. Journal of Public Economics 222 (June 2023).
- May 9, 2023
- Article
8 Questions About Using AI Responsibly, Answered
By: Tsedal Neeley
Generative AI tools are poised to change the way every business operates. As your own organization begins strategizing which to use, and how, operational and ethical considerations are inevitable. This article delves into eight of them, including how your organization...
View Details
Neeley, Tsedal. "8 Questions About Using AI Responsibly, Answered." Harvard Business Review (website) (May 9, 2023).
- May 2023
- Article
Equilibrium Effects of Pay Transparency
By: Zoë B. Cullen and Bobak Pakzad-Hurson
The public discourse around pay transparency has focused on the direct effect: how workers seek
to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting
and hiring practices of the firm respond in equilibrium has received...
View Details
Keywords:
Pay Transparency;
Online Labor Market;
Privacy;
Wage Gap;
Corporate Disclosure;
Wages;
Negotiation
Cullen, Zoë B., and Bobak Pakzad-Hurson. "Equilibrium Effects of Pay Transparency." Econometrica 91, no. 3 (May 2023): 765–802. (Lead Article.)
- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected...
View Details
Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
- January 2023
- Supplement
Apple: Privacy vs. Safety (B)
By: Henry McGee, Nien-hê Hsieh and Christian Godwin
In 2020, as the COVID-19 pandemic swept across the globe, Apple and Google partnered to develop a contact tracing application that would collect information about users infected with the disease and notify those who they had been in contact with. While Apple/Google’s...
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;
Health;
Health Pandemics;
Leadership;
Markets;
Safety;
Social Issues;
Information Technology;
Telecommunications Industry;
Technology Industry;
Consumer Products Industry;
Electronics Industry;
Health Industry;
United States;
Europe
McGee, Henry, Nien-hê Hsieh, and Christian Godwin. "Apple: Privacy vs. Safety (B)." Harvard Business School Supplement 323-066, January 2023.
- September 2022
- Case
Deciding When to Engage on Societal Issues
By: Hubert Joly and Amram Migdal
This case provides brief descriptions of 18 examples of corporate leaders confronting questions of whether and how to engage with societal issues, including social, political, and environmental issues. Social issues include COVID-19; social and racial justice;...
View Details
Keywords:
Political Issues;
Social Justice;
Racial Justice;
Environmental Issues;
Social Issues;
Corporate Social Responsibility and Impact;
Values and Beliefs
Joly, Hubert, and Amram Migdal. "Deciding When to Engage on Societal Issues." Harvard Business School Case 523-045, September 2022.
- September 2022 (Revised July 2023)
- Case
Data Privacy in Practice at LinkedIn
Bojinov, Iavor, Marco Iansiti, and Seth Neel. "Data Privacy in Practice at LinkedIn." Harvard Business School Case 623-024, September 2022. (Revised July 2023.)
- August 2022
- Article
The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices
By: Aaron R. Brough, David A. Norton, Shannon L. Sciarappa and Leslie K. John
Drawing from a content analysis of publicly traded companies’ privacy notices, a survey of managers, a field study, and five online experiments, this research investigates how consumers respond to privacy notices. A privacy notice, by placing legally enforceable limits...
View Details
Keywords:
Choice;
Purchase Intent;
Privacy;
Privacy Notices;
Warnings;
Assurances;
Information Disclosure;
Trust;
Consumer Behavior;
Spending;
Decisions;
Information;
Communication
Brough, Aaron R., David A. Norton, Shannon L. Sciarappa, and Leslie K. John. "The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices." Journal of Marketing Research (JMR) 59, no. 4 (August 2022): 739–754.
- June 29, 2022
- Other Article
Strategic Complexity? Using Experiments to Understand and Overcome Obfuscation
By: Michael Luca, Ginger Zhe Jin and Daniel Martin
Credit card companies must decide what product features to disclose to consumers, such as payment schedules, penalties, and fees--and also whether to present them clearly or bury them in the fine print. Firms face similar choices in settings ranging from privacy...
View Details
Keywords:
Obfuscation;
Credit Cards;
Strategic Incentives;
Complexity;
Agreements and Arrangements;
Customers;
Consumer Behavior;
Financial Services Industry
Luca, Michael, Ginger Zhe Jin, and Daniel Martin. "Strategic Complexity? Using Experiments to Understand and Overcome Obfuscation." Management Science Review (June 29, 2022). (Summary of "Complex Disclosure," Management Science, May 2022.)
- Article
Health App Policy: International Comparison of Nine Countries' Approaches
By: Anna Essén, Ariel Dora Stern, Christoffer Bjerre Haase, Josip Car, Felix Greaves, Dragana Paparova, Steven Vandeput, Rik Wehrens and David W. Bates
An abundant and growing supply of digital health applications (apps) exists in the commercial tech-sector, which can be bewildering for clinicians, patients, and payers. A growing challenge for the health care system is therefore to facilitate the identification of...
View Details
Keywords:
Digital Health;
Apps;
Health Care and Treatment;
Internet and the Web;
Policy;
Global Range;
Applications and Software
Essén, Anna, Ariel Dora Stern, Christoffer Bjerre Haase, Josip Car, Felix Greaves, Dragana Paparova, Steven Vandeput, Rik Wehrens, and David W. Bates. "Health App Policy: International Comparison of Nine Countries' Approaches." npj Digital Medicine 5, no. 31 (2022).
- 2022
- Chapter
Measuring Compliance Risk and the Emergence of Analytics
By: Eugene F. Soltes
Corporate compliance manages a diverse set of regulatory and reputational concerns ranging from fraud to privacy to discrimination. However, effectively managing such risks has often been hampered by a lack of adequate information about when, where, and why misconduct...
View Details
Keywords:
Compliance;
Risk;
Analytics;
Governance Compliance;
Governing Rules, Regulations, and Reforms;
Risk Management;
Analytics and Data Science
Soltes, Eugene F. "Measuring Compliance Risk and the Emergence of Analytics." Chap. 8 in Measuring Compliance: Assessing Corporate Crime and Misconduct Prevention, edited by Melissa Rorie and Benjamin van Rooij, 137–152. Cambridge University Press, 2022.