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In 2020, as the COVID-19 pandemic swept across the globe, Apple and Google partnered
to develop a contract tracing application that would...
We analyze the implications of consumer privacy for competition in the marketplace. We consider a market where firms set prices and disclosure levels...
- 2021
- Working Paper
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...
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- 2021
- Article
To Thine Own Self Be True? Incentive Problems in Personalized Law
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate...
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- April 2021
- Case
Social Media War 2021: Snap vs. Facebook vs. TikTok
By: David B. Yoffie and Daniel Fisher
This case explores the competitive war between Snap, Facebook, and TikTok in 2021. The strategic focus is on Snapchat: how should it respond to the emergence of TikTok, and how should it compete with the dominant competitor in its space—Facebook. The case examines...
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- March 2021
- Article
The Impact of the General Data Protection Regulation on Internet Interconnection
By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on...
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- February 2021
- Case
Apple: Privacy vs. Safety (A)
By: Henry McGee, Nien-hê Hsieh 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...
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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 Technology;
Technology Industry;
Consumer Products Industry;
Telecommunications Industry;
Electronics Industry;
United States;
China;
Hong Kong
- February 2021
- 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 contract 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...
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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;
Technology;
Telecommunications Industry;
Technology Industry;
Consumer Products Industry;
Electronics Industry;
Health Industry;
United States;
Europe
- 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...
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Keywords:
Data Analytics;
Data Privacy;
Data Management;
＂Marketing Analytics＂;
Marketing Communication;
Marketing Research;
Data-driven Management;
E-commerce;
E-Commerce Strategy;
Ethical Decision Making;
CRM;
Consumer Protection;
Targeted Advertising;
Targeted Policies;
Data Ownership;
Marketing;
Research;
Marketing Communications;
Data and Data Sets;
Management;
Customer Relationship Management;
Ethics;
Retail Industry;
Technology Industry;
United States
- Winter 2021
- Article
Dealmaking Disrupted: The Unexplored Power of Social Media in Negotiation
By: James K. Sebenius, Ben Cook, David A. Lax, Isaac Silberberg and Paul Levy
While social media has had profound effects in many realms, the theory and practice of negotiation have remained relatively untouched by this potent phenomenon. In this article, we survey existing research in this area and develop a broader framework for understanding...
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- September 2020
- 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...
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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;
E-commerce;
Discrimination;
Targeting;
Targeted Advertising;
Pricing Algorithms;
Ethical Decision Making;
Customer Heterogeneity;
Marketing;
Race;
Ethnicity;
Gender;
Diversity;
Prejudice and Bias;
Marketing Communications;
Data and Data Sets;
Analysis;
Decision Making;
Ethics;
Customer Relationship Management;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020 (Revised April 2021)
- 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...
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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;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Targeting;
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;
Retail Industry;
Apparel and Accessories Industry;
United States
- August 2020
- Article
Strategies for Managing the Privacy Landscape
By: Ramon Casadesus-Masanell and Andres Hervas-Drane
Firms use consumer personal information to improve their products and services. Personal information is open to misuse, however, and when exploited for undesired or unexpected purposes reduces consumer’s trust in the firm and their willingness to provide personal...
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- Article
Assessing the Food and Drug Administration's Risk-Based Framework for Software Precertification with Top Health Apps in the United States: Quality Improvement Study
By: Noy Alon, Ariel Dora Stern and John Torous
BACKGROUND: As the development of mobile health apps continues to accelerate, the need to implement a framework that can standardize categorizing these apps to allow for efficient, yet robust regulation grows. However, regulators and researchers are faced with numerous...
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- July 15, 2020
- Article
How to Get People to Actually Use Contact-Tracing Apps
By: Chiara Farronato, Marco Iansiti, Marcin Bartosiak, Stefano Denicolai, Luca Ferretti and Roberto Fontana
The broad adoption of contact-tracing apps would greatly help combat the spread of COVID-19. But a number of barriers—especially privacy concerns—have hindered progress in many countries that can’t or won’t mandate adoption. A solution is to start with small...
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- Article
Germany's Digital Health Reforms in the COVID-19 Era: Lessons and Opportunities for Other Countries
By: Sara Gerke, Ariel D. Stern and Timo Minssen
Reimbursement is a key challenge for many new digital health solutions, whose importance and value have been highlighted and expanded by the current COVID-19 pandemic. Germany’s new Digital Healthcare Act (Digitale–Versorgung–Gesetz or DVG) entitles all individuals...
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- 2021
- Working Paper
Can Shared Service Delivery Increase Customer Engagement? A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas and Nazlı Sönmez
Problem Definition: Customers and providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention maximizes customer engagement and improves outcomes. Alternatively, shared...
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- March 2020
- Case
Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire
By: Ayelet Israeli, Danilo Tauro and Sarah Gulick
This case provides a post-mortem of the advertising technology (adtech) company Sizmek. Sizmek grew via multiple acquisitions, with the vision of becoming an integrated adtech company that could leverage AI to buy digital media, while creating and serving display and...
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- 2020
- Working Paper
The Bulletproof Glass Effect: When Privacy Notices Backfire
By: Aaron R. Brough, David A. Norton and Leslie John
Firms typically provide assurances to consumers about data management practices in the form of privacy notices. This manuscript proposes that ironically, such assurances can fuel rather than alleviate privacy concerns. Indeed, we show that consumers react to assurances...
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- February 2020
- Article
Tales of Two Motives: Disclosure and Concealment
By: Leslie John, Michael L. Slepian and Diana Tamir
We posit that the desire to disclose personal information, and the desire to conceal it, are related yet distinct psychological motives. People often wish to conceal information, such as embarrassing aspects of the self. Yet people also seek to reveal information, such...
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- 2020
- Article
Oracle Efficient Private Non-Convex Optimization
By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it. However,...
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- 2019
- Working Paper
The Impact of the General Data Protection Regulation on Internet Interconnection
By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein
The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on...
View Details