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- All HBS Web
(1,838)
- People (2)
- News (289)
- Research (1,179)
- Events (33)
- Multimedia (12)
- Faculty Publications (748)
- 2024
- Case
Christiana Figueres and the Paris Climate Negotiations (A)
By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change... View Details
Keywords: Climate Change; Negotiation; Environmental Regulation; International Relations; Leadership
Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Paris Climate Negotiations (A)." Program on Negotiation at Harvard Law School Case, 2024.
- 2024
- Case
Christiana Figueres and the Paris Climate Negotiations (B)
By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change... View Details
Keywords: Climate Change; Negotiation; Environmental Regulation; International Relations; Leadership
Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Paris Climate Negotiations (B)." Program on Negotiation at Harvard Law School Case, 2024.
- Web
Strategy Execution Online Course | HBS Online
systems for every dimension of business performance Identify and manage risks that could derail strategy execution Empower employees through proprietary frameworks like the Job Design Optimization Tool, which helps design high-performance... View Details
- 28 Jul 2020
- Research & Ideas
Racism and Digital Design: How Online Platforms Can Thwart Discrimination
inclusivity. "If you're running an online marketplace," he says, "you should think about whether discrimination is likely to be a problem, and what design choices might mitigate the risk of discrimination. If you're View Details
- 02 Mar 2009
- Research & Ideas
When Goal Setting Goes Bad
governments create dysfunctional systems that can be predicted to lead to bad behaviors, I see the problem starting with the dysfunctional system. And I see the creating of optimal systems as a key leadership function. Q: Specifically,... View Details
Keywords: by Sean Silverthorne
- 19 Jan 2024
- News
The Values and Virtues of a Quick Fix
the creativity and optimism that are really important and infectious emotions in any change process. DM: You also talk about how fundamentally you need to have trust. You need to build trust within the organization for any of this stuff... View Details
- 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.
- 14 Oct 2021
- In Practice
Reunited and It Feels (Not) So Good: Tips for Managing a Rocky Return
COVID-19 variants snuffed out the brief period of vaccination-injected optimism earlier this year, as childcare and school disruptions lingered. Despite such resistance and health concerns, some employees have joyfully returned to their... View Details
Keywords: by Kristen Senz
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- August 2019
- Article
When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation
By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
- 06 Jun 2013
- Working Paper Summaries
Do Strict Capital Requirements Raise the Cost of Capital? Banking Regulation and the Low Risk Anomaly
- 2023
- Working Paper
The Effects of Inconsistent Work Schedules on Employee Lateness and Absenteeism
By: Caleb Kwon and Ananth Raman
Problem Definition: Employee lateness and absenteeism pose challenges for businesses, particularly in the retail industry, where punctuality is vital for optimal store operations and customer service. This paper relates employee lateness and absenteeism with... View Details
Kwon, Caleb, and Ananth Raman. "The Effects of Inconsistent Work Schedules on Employee Lateness and Absenteeism." Working Paper, August 2023.
- 11 Apr 2012
- Research & Ideas
The High Risks of Short-Term Management
Achieving sustainability—for corporations, investors, analysts, information intermediaries, and other forms of organizations—often requires innovations, both major and minor, in processes, products, and business models in order to View Details
- 01 Nov 2021
- Op-Ed
Team Success Starts with the Individual—and with Love
an unusual but immensely powerful approach to leadership that held promise far beyond the football field. To optimize performance, many leaders take the team or organization as the basic unit of analysis, seeking out processes and... View Details
- Web
Value Measurement for Health Care - Institute For Strategy And Competitiveness
with health care partners Increase operational efficiencies: Match clinical resources to clinical processes and improve resource utilization Optimize costs over the full cycle of care Manage reimbursement and payment challenges Expand... View Details
- Web
AASU50 - Alumni
50th Anniversary Keynote Speech, by Henry Louis Gates Jr. Can AI Combat Biases Against Women and People of Color? (Barry Libert presentation) Entrepreneurial Action & The Case for Optimism (Bill Sahlman presentation) Founders of African... View Details
- Web
Climate Impact - Business & Environment
tools they need to simplify, accelerate, and optimize the financing of critical climate assets.” Ayr Muir MBA 2004 | Founder & CEO, Clover Food Lab “Meat production and the agriculture industry behind it are the second biggest... View Details
- 01 Dec 2014
- Working Paper Summaries
Financing Innovation
Keywords: by William R. Kerr & Ramana Nanda
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- 04 Dec 2019
- Book
Creating the Experimentation Organization
experiments to optimize customer experience—and their own return on investment. “Very few people know they are participants in this massive experimentation ecosystem,” says Thomke. And it’s not just online. Retailers such as Walmart and... View Details
Keywords: by Michael Blanding