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Show Results For
- All HBS Web
(250)
- News (51)
- Research (147)
- Events (2)
- Multimedia (3)
- Faculty Publications (79)
- October 2018 (Revised July 2019)
- Case
Sidewalk Labs: Privacy in a City Built from the Internet Up
By: Leslie K. John, Mitchell Weiss and Julia Kelley
Email mking@hbs.edu for a courtesy copy.
By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people... View Details
By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people... View Details
Keywords: Public Entrepreneurship; Govtech; CivicTech; Smart Cities; City Innovation; Government Innovation; Privacy; Sidewalk Labs; Dan Doctoroff; Entrepreneurship; Public Sector; Consumer Behavior; Governance; Business and Government Relations; Innovation and Invention; Technology Industry; Public Administration Industry; Transportation Industry; Real Estate Industry; Canada
John, Leslie K., Mitchell Weiss, and Julia Kelley. "Sidewalk Labs: Privacy in a City Built from the Internet Up." Harvard Business School Case 819-024, October 2018. (Revised July 2019.) (Email mking@hbs.edu for a courtesy copy.)
- June 2012
- Article
The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control
Using data from embedded participant-observers and a field experiment at the second largest mobile phone factory in the world, located in China, I theorize and test the implications of transparent organizational design on workers' productivity and organizational... View Details
Keywords: Transparency; Privacy; Organizational Learning; Operational Control; Organizational Performance; Chinese Manufacturing; Field Experiment; Rights; Interpersonal Communication; Management Practices and Processes; Ethics; Corporate Disclosure; Performance Productivity; Boundaries; Organizations; Social and Collaborative Networks; Labor and Management Relations; Power and Influence; Manufacturing Industry; China
Bernstein, Ethan S. "The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control." Administrative Science Quarterly 57, no. 2 (June 2012): 181–216.
- June 2013
- Article
What Is Privacy Worth?
By: Alessandro Acquisti, Leslie K. John and George Loewenstein
Understanding the value that individuals assign to the protection of their personal data is of great importance for business, law, and public policy. We use a field experiment informed by behavioral economics and decision research to investigate individual privacy... View Details
Acquisti, Alessandro, Leslie K. John, and George Loewenstein. "What Is Privacy Worth?" Journal of Legal Studies 42, no. 2 (June 2013): 249–274.
- 2013
- Chapter
Privacy Breach Analysis in Social Networks
By: Frank Nagle
Over the past 5–10 years, online social networks have rapidly expanded, and as of March 2012 the largest online social network, Facebook, had over 901 million active members. The wealth of information users post in their social network profiles, as well as the... View Details
Keywords: Crime and Corruption; Social and Collaborative Networks; Social Media; Cybersecurity; Analytics and Data Science
Nagle, Frank. "Privacy Breach Analysis in Social Networks." In Mining Social Networks and Security Informatics, edited by Tansel Ozyer, Zeki Erdem, Jon Rokne, and Suheil Khoury, 63–77. Springer Science + Business Media, 2013.
- 18 May 2007
- Working Paper Summaries
An Empirical Approach to Understanding Privacy Valuation
Keywords: by Luc Wathieu & Allan Friedman
The Privacy Paradox
Ever sent an indiscreet selfie? Disclosed private data online? Agreed to terms and conditions without reading them through? If you have, Leslie John knows the reason why. View Details
- 01 Dec 2003
- News
Selling Digital Privacy
If regulation won’t stop privacy invasion, what will? HBS professor John Deighton has an answer that involves convincing companies to pay us consumers to use our private information. Instead of relying on regulators to protect our View Details
- Web
Privacy Notice | About
privacy settings chosen by individual alumni participants. Data in the alumni directory include but are not limited to: contact information, employment history, interests, and education history and are... View Details
- 13 Apr 2020
- Working Paper Summaries
The Bulletproof Glass Effect: When Privacy Notices Backfire
- 13 Feb 2024
- Cold Call Podcast
Apple’s Dilemma: Balancing Privacy and Safety Responsibilities
Keywords: Re: Nien-he Hsieh & Henry W. McGee
- Article
How to Use Heuristics for Differential Privacy
By: Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
We develop theory for using heuristics to solve computationally hard problems in differential privacy. Heuristic approaches have enjoyed tremendous success in machine learning, for which performance can be empirically evaluated. However, privacy guarantees cannot be... View Details
Neel, Seth, Aaron Leon Roth, and Zhiwei Steven Wu. "How to Use Heuristics for Differential Privacy." Proceedings of the IEEE Annual Symposium on Foundations of Computer Science (FOCS) 60th (2019).
- 19 May 2020
- Research & Ideas
Why Privacy Protection Notices Turn Off Shoppers
says John. “When people weren’t presented with a privacy notice, their purchase interest was about twice that of those who had been shown the privacy notice.” In another experiment involving a car GPS... View Details
- October 2018
- Case
Fundraising at St. Camillus Hospital
By: Srikant M. Datar and Caitlin N. Bowler
St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate, who is also a digital... View Details
Keywords: Data Analysis; Data Privacy; Data Governance; Non-profit; Health Care; Fundraising; Data Security; Analytics and Data Science; Safety; Governance; Ethics; Health Care and Treatment; Cybersecurity
Datar, Srikant M., and Caitlin N. Bowler. "Fundraising at St. Camillus Hospital." Harvard Business School Case 119-027, October 2018.
- 02 Mar 2016
- What Do You Think?
Is Apple’s Real Privacy Challenge Technology Innovation Itself?
application for commercial credit and other data points (is) right there on the first page of the Apple user contract--there for all to see. It would seem that this privacy gate is down for the FBI alone.”... View Details
- Web
Privacy Statement (English) - Global
and the health, safety, rights or property of others; and meeting other legal obligations. HBS ERC may also engage service providers to assist in processing of personal data for the purposes described above. Our service providers must... View Details
- 2011
- Chapter
Between Global and Local: The Invention of Data Privacy in the United States and France
Keywords: Social Issues; Knowledge Management; Information Management; Rights; United States; France
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.
- Web
Privacy - HBS Working Knowledge
due to the nature of Internet communications, no data transmission over the Internet can be guaranteed to be completely secure. While Harvard Business School remains committed to protecting the privacy of... View Details
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.