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  • All HBS Web  (526)
    • News  (111)
    • Research  (230)
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    • Multimedia  (12)
  • Faculty Publications  (148)

Show Results For

  • All HBS Web  (526)
    • News  (111)
    • Research  (230)
    • Events  (3)
    • Multimedia  (12)
  • Faculty Publications  (148)
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  • 2005
  • Other Unpublished Work

An Empirical Approach to Understanding Privacy Valuation

By: Luc Wathieu and Allan Friedman
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Wathieu, Luc, and Allan Friedman. "An Empirical Approach to Understanding Privacy Valuation." Cambridge, MA, 2005.
  • 26 May 2022
  • HBS Case

Apple vs. Feds: Is iPhone Privacy a Basic Human Right?

Apple debuted new privacy measures that blocked law enforcement from accessing its customers’ data. “There is an opportunity to do work that is infused with moral purpose.” He said shareholders who were only looking for a return on... View Details
Keywords: by Avery Forman
  • Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
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Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
  • 2019
  • Article

Explanation < Justification: GDPR and the Perils of Privacy

By: Talia B Gillis and Joshua Simons
Citation
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Gillis, Talia B., and Joshua Simons. "Explanation < Justification: GDPR and the Perils of Privacy." Journal of Law & Innovation 2 (2019): 71–99.
  • 2009
  • Journal Article

Privacy in Online Social Networks: Empirical Evidence from Facebook

By: Frank Nagle and Lisa Singh
Citation
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Nagle, Frank, and Lisa Singh. "Privacy in Online Social Networks: Empirical Evidence from Facebook." Proceedings of the International Conference on Advances in Social Network Analysis and Mining (2009).
  • 05 Dec 2018
  • Working Paper Summaries

The Salary Taboo: Privacy Norms and the Diffusion of Information

Keywords: by Zoë B. Cullen and Ricardo Perez-Truglia
  • September 2015
  • Article

Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago

By: Abel Kho, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers and et al.
Objective
To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical... View Details
Keywords: Information; Customers; Safety; Rights; Ethics; Entrepreneurship; Health Care and Treatment; Health Industry; Chicago
Citation
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Kho, Abel, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers, and et al. "Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago." Journal of the American Medical Informatics Association 22, no. 5 (September 2015): 1072–1080.
  • October 2019 (Revised January 2020)
  • Case

Fixing Facebook: Fake News, Privacy, and Platform Governance

By: David Yoffie and Daniel Fisher
Mark Zuckerberg founded Facebook based on the idea that connecting people was a fundamentally good thing—and a way to turn a handsome profit. But from the beginning, Facebook received criticism both for how it handled user privacy and how it curated user-generated... View Details
Keywords: Platform; Governance; Privacy; Internet and the Web; Corporate Governance; Ethics; Business and Government Relations; Strategy; Digital Platforms; Web Services Industry
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Yoffie, David, and Daniel Fisher. "Fixing Facebook: Fake News, Privacy, and Platform Governance." Harvard Business School Case 720-400, October 2019. (Revised January 2020.)
  • Research Summary

Anonymity and Identity

By: John A. Deighton
In most consumer markets, consumers are accustomed to operating in relative anonymity. A complex social adjustment is occurring as people realize that anonymity is often no longer their default condition - it must be sought and in some cases bought. New conceptions of... View Details
Keywords: Privacy; Anonymity
  • August 2021 (Revised November 2024)
  • Case

Intenseye: Powering Workplace Health and Safety with AI (A)

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
Citation
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Toffel, Michael W., and Youssef Abdel Aal. "Intenseye: Powering Workplace Health and Safety with AI (A)." Harvard Business School Case 622-037, August 2021. (Revised November 2024.)
  • 2023
  • Working Paper

The Customer Journey as a Source of Information

By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access, firms are placing increased emphasis on first-party data (1PD) for marketing decisions. However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships
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Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
  • 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... View Details
Keywords: COVID-19; Contact Tracing; Apps; Privacy; Health Pandemics; Behavior; Technology Adoption; Applications and Software
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Farronato, Chiara, Marco Iansiti, Marcin Bartosiak, Stefano Denicolai, Luca Ferretti, and Roberto Fontana. "How to Get People to Actually Use Contact-Tracing Apps." Harvard Business Review Digital Articles (July 15, 2020).
  • 2011
  • Chapter

Between Global and Local: The Invention of Data Privacy in the United States and France

By: J. Gunnar Trumbull
Keywords: Social Issues; Knowledge Management; Information Management; Rights; United States; France
Citation
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Trumbull, J. Gunnar. "Between Global and Local: The Invention of Data Privacy in the United States and France." In The Voice of the Citizen Consumer: A History of Market Research, Consumer Movements, and the Political Public Sphere, edited by Kerstin Bruckweh. Oxford: Oxford University Press, 2011.
  • 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... View Details
Keywords: Disclosure; Privacy; Information; Motivation and Incentives
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John, Leslie, Michael L. Slepian, and Diana Tamir. "Tales of Two Motives: Disclosure and Concealment." Special Issue on Privacy and Disclosure, Online and in Social Interactions edited by L. John, D. Tamir, M. Slepian. Current Opinion in Psychology 31 (February 2020).
  • Research Summary

Overview

By: Ethan S. Bernstein
I have spent my career studying novel talent management practices and their effect on collaboration and performance. My core research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to... View Details
Keywords: Privacy; Transparency; Productivity; Field Experiments; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Performance; Groups and Teams; Networks; Behavior; Social and Collaborative Networks; Satisfaction; North America; Europe; Asia; China; Japan; Latin America
  • November 7, 2017
  • Article

Temporary Sharing Prompts Unrestrained Disclosures That Leave Lasting Negative Impressions

By: Reto Hofstetter, Roland Rüppell and Leslie John
With the advent of social media, the impressions people make on others are based increasingly on their digital disclosures. Yet digital disclosures can come back to haunt, making it challenging for people to manage the impressions they make. In field and online... View Details
Keywords: Disclosure; Privacy; Self-presentation; Impression Formation; Behavior; Perspective; Internet and the Web; Social Media
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Hofstetter, Reto, Roland Rüppell, and Leslie John. "Temporary Sharing Prompts Unrestrained Disclosures That Leave Lasting Negative Impressions." Proceedings of the National Academy of Sciences 114, no. 45 (November 7, 2017).
  • Article

Uninformed Consent

By: Leslie K. John
Companies want access to more and more of your personal data—from where you are to what’s in your DNA. Can they unlock its value while respecting consumers’ privacy? View Details
Keywords: Personal Data; Privacy; Customers; Analytics and Data Science; Ethics; Governing Rules, Regulations, and Reforms
Citation
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John, Leslie K. "Uninformed Consent." Special Issue on The Big Idea: Tracked. Harvard Business Review (website) (September–October 2018).
  • 2012
  • Other Unpublished Work

Towards Efficiencies in Canadian Internet Traffic Exchange

By: Benjamin Edelman and Bill Woodcock
Canadian Internet access is heavily and unnecessarily dependent upon foreign infrastructure, especially U.S. infrastructure. This dependence imposes significant burdens upon Canadian Internet users:

* Service prices are higher than would be the case if... View Details
Keywords: Networks; Canada; Privacy; Technology Networks; Rights; Communication Technology; Internet; Ethics; Telecommunications Industry; Canada
Citation
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Edelman, Benjamin, and Bill Woodcock. "Towards Efficiencies in Canadian Internet Traffic Exchange." Canadian Internet Registration Authority, September 2012.
  • January 26, 2016
  • Article

Hiding Personal Information Reveals the Worst

By: Leslie K. John, Kate Barasz and Michael I. Norton
Seven experiments explore people's decisions to share or withhold personal information and the wisdom of such decisions. When people choose not to reveal information—to be "hiders"—they are judged negatively by others (experiment 1). These negative judgments emerge... View Details
Keywords: Disclosure; Transparency; Policy-making; Privacy; Information; Corporate Disclosure; Decision Choices and Conditions; Trust
Citation
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John, Leslie K., Kate Barasz, and Michael I. Norton. "Hiding Personal Information Reveals the Worst." Proceedings of the National Academy of Sciences 113, no. 4 (January 26, 2016): 954–959.
  • Oct 2020
  • Conference Presentation

Optimal, Truthful, and Private Securities Lending

By: Emily Diana, Michael J. Kearns, Seth Neel and Aaron Leon Roth
We consider a fundamental dynamic allocation problem motivated by the problem of securities lending in financial markets, the mechanism underlying the short selling of stocks. A lender would like to distribute a finite number of identical copies of some scarce resource... View Details
Keywords: Differential Privacy; Mechanism Design; Finance; Mathematical Methods
Citation
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Diana, Emily, Michael J. Kearns, Seth Neel, and Aaron Leon Roth. "Optimal, Truthful, and Private Securities Lending." Paper presented at the 1st Association for Computing Machinery (ACM) International Conference on AI in Finance (ICAIF), October 2020.
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