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Show Results For
- All HBS Web
(530)
- News (113)
- Research (230)
- Events (3)
- Multimedia (12)
- Faculty Publications (148)
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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... View Details
Keywords: Digital Marketing; Insolvency and Bankruptcy; Mergers and Acquisitions; Applications and Software; Internet and the Web; Competition; Marketing; Advertising Industry; Web Services Industry; United States; Europe
Israeli, Ayelet, Danilo Tauro, and Sarah Gulick. "Sizmek Chapter 11: Surviving Walled Gardens in Their Ad Tech Empire." Harvard Business School Case 520-087, March 2020.
- 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
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
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.)
- 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
Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
- 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
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).
- 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
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.
- 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
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.
- 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
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
- 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
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
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.)
- 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
- 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
Wu, Andy. "The Facebook Trap." Harvard Business Review Digital Articles (October 19, 2021).
- 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
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.
- 30 Jun 2022
- HBS Case
Peloton Changed the Exercise Game. Can the Company Push Through the Pain?
Also Like: Free Isn’t Always Better: How Slack Holds Its Own Against Microsoft Teams Apple vs. Feds: Is iPhone Privacy a Basic Human Right? Cruising in Crisis: How Carnival Is Riding Out the COVID-19 Storm Related reading from the Working... View Details
- 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
Joly, Hubert, and Amram Migdal. "Deciding When to Engage on Societal Issues." Harvard Business School Case 523-045, September 2022.
- 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
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
- 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
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.
- July 2018
- Article
Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India
By: Satchit Balsari, Alexander Fortenko MD, MPH, Joaquin A. Blaya PhD, Adrian Gropper MD, Malavika Jayaram LLM, Rahul Matthan LLM, Ram Sahasranam, Mark Shankar MD, Suptendra N. Sarbadhikari PhD, Barbara Bierer, Kenneth D. Mandl MD, Sanjay Mehendale MD, MPH and Tarun Khanna
In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world’s largest insurance program. To meet this target, the government will rely on technology to... View Details
Keywords: Health Information Exchange; India; Health APIs; Health Care and Treatment; Information; Analytics and Data Science; Information Technology; Health Industry; India
Balsari, Satchit, Alexander Fortenko MD, MPH, Joaquin A. Blaya PhD, Adrian Gropper MD, Malavika Jayaram LLM, Rahul Matthan LLM, Ram Sahasranam, Mark Shankar MD, Suptendra N. Sarbadhikari PhD, Barbara Bierer, Kenneth D. Mandl MD, Sanjay Mehendale MD, MPH, and Tarun Khanna. "Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India." Journal of Medical Internet Research 20, no. 7 (July 2018).