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      • 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
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      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
      Keywords: Health Care and Treatment; Customer Satisfaction; Outcome or Result; India
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      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
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      Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 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
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      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
      Keywords: Recourse; Privacy Threats; AI and Machine Learning; Information
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      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
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      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
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      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

      By: Iavor Bojinov, Marco Iansiti and Seth Neel
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      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
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      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
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      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
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      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
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      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.
      • Article

      Adaptive Machine Unlearning

      By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
      Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees...  View Details
      Keywords: Machine Learning; AI and Machine Learning
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      Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • October 19, 2021
      • Article

      The Facebook Trap

      By: Andy Wu
      Facebook has a clear mission: Connect everyone in the world. Clarity is good, but in Facebook’s case, it has also put the company in a bind because the mission—and the company’s vision for creating value through network effects—has also become the source of its biggest...  View Details
      Keywords: Business And Society; Mission and Purpose; Network Effects; Value Creation; Corporate Accountability; Strategy
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      Wu, Andy. "The Facebook Trap." Harvard Business Review Digital Articles (October 19, 2021).
      • August 2021 (Revised April 2022)
      • Case

      Intenseye: Powering Workplace Health and Safety with AI

      By: Michael W. Toffel and Youssef Abdel Aal
      Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye’s...  View Details
      Keywords: Privacy; Product Development; Operations; Technological Innovation; Value Creation; Production; Distribution; Safety; Risk and Uncertainty; Technology Industry; Manufacturing Industry; Distribution Industry; Turkey; Middle East; United States
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      Toffel, Michael W., and Youssef Abdel Aal. "Intenseye: Powering Workplace Health and Safety with AI." Harvard Business School Case 622-037, August 2021. (Revised April 2022.)
      • 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...  View Details
      Keywords: Pay Transparency; Online Labor Market; Privacy; Wage Gap; Negotiation; Corporate Disclosure; Compensation and Benefits; Gender
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      Cullen, Zoë B., and Bobak Pakzad-Hurson. "Equilibrium Effects of Pay Transparency." Working Paper, June 2021. (Accepted at Econometrica.)
      • 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...  View Details
      Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
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      Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
      • 2023
      • Working Paper

      Organizational Barriers to Transforming Large Finance Corporations: Cloud Adoption and the Importance of Technological Architecture

      By: Sam (Ruiqing) Cao and Marco Iansiti
      This paper studies the impact of technological architecture around data storage and processing on the performance of large financial corporations after being exposed to more stringent data privacy regulations. A modular approach to cloud adoption—which reflects in the...  View Details
      Keywords: Organizations; Information Technology; Performance Productivity; Growth and Development; Transformation
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      Cao, Sam (Ruiqing), and Marco Iansiti. "Organizational Barriers to Transforming Large Finance Corporations: Cloud Adoption and the Importance of Technological Architecture." Harvard Business School Working Paper, No. 21-122, May 2021. (Revised February 2023.)
      • 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...  View Details
      Keywords: Strategy Development; Competitor Analysis; Strategy; Network Effects; Competitive Strategy; Decision Choices and Conditions; Social Media
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      Yoffie, David B., and Daniel Fisher. "Social Media War 2021: Snap vs. Facebook vs. TikTok." Harvard Business School Case 721-443, April 2021.
      • 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...  View Details
      Keywords: Personal Data; Privacy Regulation; GDPR; Interconnection Agreements; Internet and the Web; Governing Rules, Regulations, and Reforms
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      Zhuo, Ran, Bradley Huffaker, KC Claffy, and Shane Greenstein. "The Impact of the General Data Protection Regulation on Internet Interconnection." Telecommunications Policy 45, no. 2 (March 2021).
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