Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (230) Arrow Down
Filter Results: (230) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (508)
    • News  (113)
    • Research  (230)
    • Events  (3)
    • Multimedia  (12)
  • Faculty Publications  (148)

Show Results For

  • All HBS Web  (508)
    • News  (113)
    • Research  (230)
    • Events  (3)
    • Multimedia  (12)
  • Faculty Publications  (148)
← Page 7 of 230 Results →
Sort by

Are you looking for?

→Search All HBS Web
  • 2023
  • Working Paper

Black-box Training Data Identification in GANs via Detector Networks

By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science
Citation
Read Now
Related
Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
  • May 2010 (Revised May 2010)
  • Case

Data.gov

By: Karim R. Lakhani, Robert D. Austin and Yumi Yi
This case presents the logic and execution underlying the launch of Data.gov, an instantiation of President Obama's initiative for transparency and open government. The process used by Vivek Kundra, the federal CIO, and his team to rapidly develop the website and to... View Details
Keywords: Safety; Rights; Analytics and Data Science; Internet and the Web; Ethics; Cost vs Benefits; Innovation and Management; Information Management; Public Administration Industry; Information Industry; United States
Citation
Educators
Purchase
Related
Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov." Harvard Business School Case 610-075, May 2010. (Revised May 2010.)
  • March 2014 (Revised August 2015)
  • Technical Note

Technology Innovations in K-12 Education

By: John J-H Kim, Roniesha Copeland and Christine S. An
This background note on technology innovations in education offers a market overview of the edtech sector and discusses trends, common challenges, and criticisms encountered in exploring edtech ventures. The note introduces the promise of educational technology as it... View Details
Citation
Educators
Purchase
Related
Kim, John J-H, Roniesha Copeland, and Christine S. An. "Technology Innovations in K-12 Education." Harvard Business School Technical Note 314-123, March 2014. (Revised August 2015.)
  • 28 Jul 2009
  • First Look

First Look: July 28

  Working PapersNone this week   PublicationsAdverse Selection in Online 'Trust' Certifications Author:Benjamin Edelman Publication:Proceedings of ICEC'09 (forthcoming). ACM International Conference Proceeding Series Abstract Widely used online "trust"... View Details
Keywords: Martha Lagace
  • 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
Citation
Read Now
Related
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).
  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

Europe’s tougher data privacy regulations went into effect in 2018, they have created complications for companies worldwide. Questions around data privacy will likely become thornier as generative artificial... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 2016
  • Book

Innovation Policy and the Economy, Volume 17

By: Shane Greenstein, Josh Lerner and Scott Stern
The seventeenth volume of the National Bureau of Economic Research’s Innovation Policy and the Economy provides an accessible forum for bringing the work of leading academic researchers to an audience of policymakers and those interested in the interaction... View Details
Keywords: Innovation and Invention; Technological Innovation; Governance; Policy; Economy
Citation
Purchase
Related
Greenstein, Shane, Josh Lerner and Scott Stern, eds. Innovation Policy and the Economy, Volume 17. Chicago: University of Chicago Press, 2016.
  • 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; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
Citation
Purchase
Related
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
  • January–February 2024
  • Article

Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments

By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients... View Details
Keywords: Health Care and Treatment; Customer Satisfaction; Outcome or Result; Performance Improvement
Citation
Find at Harvard
Purchase
Related
Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
  • April 2012
  • Article

The Impact of Relative Standards on the Propensity to Disclose

By: Alessandro Acquisti, Leslie John and George Loewenstein
Two sets of studies illustrate the comparative nature of disclosure behavior. The first set investigates how divulgence is affected by signals about others' readiness to divulge. Study 1A shows a "herding" effect, such that survey respondents are more willing to... View Details
Keywords: Rights; Surveys; Management Practices and Processes; Ethics; Corporate Disclosure; Judgments; Consumer Behavior; Standards
Citation
Find at Harvard
Read Now
Purchase
Related
Acquisti, Alessandro, Leslie John, and George Loewenstein. "The Impact of Relative Standards on the Propensity to Disclose." Journal of Marketing Research (JMR) 49, no. 2 (April 2012): 160–174.
  • 2023
  • Working Paper

In-Context Unlearning: Language Models as Few Shot Unlearners

By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details
Keywords: AI and Machine Learning; Copyright; Information
Citation
Read Now
Related
Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
  • September–October 2013
  • Article

The Dynamic Advertising Effect of Collegiate Athletics

By: Doug J. Chung
I measure the spillover effect of intercollegiate athletics on the quantity and quality of applicants to institutions of higher education in the United States, popularly known as the "Flutie Effect." I treat athletic success as a stock of goodwill that decays over... View Details
Keywords: Choice Modeling; Entertainment Marketing; Heterogeneity; Panel Data; Structural Modeling; Rights; Analytics and Data Science; Higher Education; Ethics; Consumer Behavior; Advertising; Sports; Advertising Industry; Education Industry
Citation
SSRN
Read Now
Related
Chung, Doug J. "The Dynamic Advertising Effect of Collegiate Athletics." Marketing Science 32, no. 5 (September–October 2013): 679–698. (Lead article. Featured in HBS Working Knowledge.)
  • 31 Jan 2022
  • Research & Ideas

Where Can Digital Transformation Take You? Insights from 1,700 Leaders

privacy and security. Social responsibility in the broadest sense, roundtable participants said, has become a competitive “must,” essential for attracting talent and building trust with customers. Six qualities of digitally mature... View Details
Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards
  • 24 Apr 2018
  • Op-Ed

Op-Ed: What Mark Zuckerberg Can Learn About Crisis Leadership from Starbucks

Facebook’s current data privacy crisis, could learn a lot from Johnson. Let’s examine how Johnson and Zuckerberg measured up against what I have identified as 7 Lessons for Leading in Crisis. #1: Face reality, starting with yourself.... View Details
Keywords: by Bill George; Technology; Food & Beverage
  • 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
Citation
Register to Read
Related
Wu, Andy. "The Facebook Trap." Harvard Business Review Digital Articles (October 19, 2021).
  • 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... View Details
Keywords: Bargaining; 3D Negotiation; Negotiation; Conflict and Resolution; Social Media
Citation
Find at Harvard
Related
Sebenius, James K., Ben Cook, David A. Lax, Isaac Silberberg, and Paul Levy. "Dealmaking Disrupted: The Unexplored Power of Social Media in Negotiation." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 97–141.
  • Mar 2020
  • Conference Presentation

A New Analysis of Differential Privacy's Generalization Guarantees

By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
Keywords: Machine Learning; Transfer Theorem; Mathematical Methods
Citation
Read Now
Related
Jung, Christopher, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. "A New Analysis of Differential Privacy's Generalization Guarantees." Paper presented at the 11th Innovations in Theoretical Computer Science Conference, Seattle, March 2020.
  • 09 Oct 2018
  • First Look

New Research and Ideas, October 9, 2018

2018 Redwood City, Stanford Business Books The Gift of Global Talent: How Migration Shapes Business, Economy & Society By: Kerr, William R. Abstract—The global race for talent is on, with countries and businesses competing for the best and brightest. Foreign talent... View Details
Keywords: Dina Gerdeman
  • 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
Citation
Educators
Purchase
Related
Joly, Hubert, and Amram Migdal. "Deciding When to Engage on Societal Issues." Harvard Business School Case 523-045, September 2022.
  • Research Summary

Profitable Souls: Foreign Investment and the Fate of Human Rights

By: Debora L. Spar
This is a project about foreign investment, about what happens when big multinational firms invest in small, poor, and often nasty places. Typically, most observers assume that this is a largely negative relationship: that multinationals exploit the local population,... View Details
  • ←
  • 7
  • 8
  • …
  • 11
  • 12
  • →

Are you looking for?

→Search All HBS Web
ǁ
Campus Map
Harvard Business School
Soldiers Field
Boston, MA 02163
→Map & Directions
→More Contact Information
  • Make a Gift
  • Site Map
  • Jobs
  • Harvard University
  • Trademarks
  • Policies
  • Accessibility
  • Digital Accessibility
Copyright © President & Fellows of Harvard College.