Filter Results
:
(112)
Show Results For
-
All HBS Web
(473)
- Faculty Publications (112)
Show Results For
-
All HBS Web
(473)
- Faculty Publications (112)
Output
→
Page 1 of
112
Results
→
- 2023
- Working Paper
Incentivizing Innovation in Open Source: Evidence from the GitHub Sponsors Program
By: Annamaria Conti, Vansh Gupta, Jorge Guzman and Maria P. Roche
Open source is key to innovation, but we know little about how to incentivize
it. In this paper, we examine the impact of a program providing monetary
incentives to motivate innovators to contribute to open source. The Sponsors
program was introduced by GitHub in...
View Details
Keywords:
Open Source Distribution;
Innovation and Invention;
Motivation and Incentives;
Technology Industry
Conti, Annamaria, Vansh Gupta, Jorge Guzman, and Maria P. Roche. "Incentivizing Innovation in Open Source: Evidence from the GitHub Sponsors Program." Harvard Business School Working Paper, No. 24-014, September 2023. (NBER Working Paper Series, No. 31668, September 2023.)
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Himabindu Lakkaraju and Ruijiang Gao
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research...
View Details
Lakkaraju, Himabindu, and Ruijiang Gao. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
View Details
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- July 2023
- Article
Marketplace Scalability and Strategic Use of Platform Investment
By: Jin Li, Gary Pisano, Richard Xu and Feng Zhu
The scalability of a marketplace depends on the operations of the marketplace platform as well as its sellers’ capacities. In this study, we explore one strategy that a marketplace platform can use to enhance its scalability: providing an ancillary service to sellers....
View Details
Li, Jin, Gary Pisano, Richard Xu, and Feng Zhu. "Marketplace Scalability and Strategic Use of Platform Investment." Management Science 69, no. 7 (July 2023): 3958–3975.
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means...
View Details
Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected...
View Details
Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
- March, 2023
- Article
Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes
By: Maria P. Roche
The transfer of complex knowledge and skills is difficult, often requiring intensive interaction and extensive periods of co-working between a mentor and mentee, which is particularly true in apprenticeship-like settings and on-the-job training. This paper studies a...
View Details
Keywords:
Entrepreneurship;
Higher Education;
Training;
Personal Development and Career;
Knowledge Dissemination
Roche, Maria P. "Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes." Organization Science 34, no. 2 (March, 2023): 959–986.
- March 2023
- Article
Attracting the Sharks: Corporate Innovation and Securities Class Action Lawsuits
By: Elisabeth Kempf and Oliver Spalt
This paper provides novel evidence suggesting that securities class action lawsuits, a central pillar of the U.S. litigation and corporate governance system, can constitute an obstacle to valuable corporate innovation. We first establish that valuable innovation output...
View Details
Keywords:
Class-action Litigation;
Turnover;
Lawsuits and Litigation;
Innovation and Invention;
Risk and Uncertainty
Kempf, Elisabeth, and Oliver Spalt. "Attracting the Sharks: Corporate Innovation and Securities Class Action Lawsuits." Management Science 69, no. 3 (March 2023): 1323–1934.
- January 2023
- Case
First to Fight? Culture, Tradition and the United States Marine Corps (USMC)
By: Ranjay Gulati, Akhil Iyer and Joel Malkin
Over a history of more than 240 years, the United States Marine Corps has forged a distinct culture and institutional identity centered on its “warrior ethos.” In the wars of American history, Marines fought with uncommon valor, rising to international prominence for...
View Details
- October 25, 2022
- Article
Why Sharing Economic Growth with the Community Is Good Business
By: José A. Tiburcio, Lino Miguel Dias and Robert S. Kaplan
Subsistence dairy ranchers in Central America struggle to stay afloat during the dry season when grass is scarce. Global life sciences company Bayer has launched a program to enable them to produce their own corn silage feed. The results of this program are helping to...
View Details
Keywords:
Sharing Economy;
Innovation;
Economic Growth;
Poverty;
Production;
Supply Chain;
Social Enterprise;
Agriculture and Agribusiness Industry;
Central America
Tiburcio, José A., Lino Miguel Dias, and Robert S. Kaplan. "Why Sharing Economic Growth with the Community Is Good Business." Harvard Business Review (website) (October 25, 2022).
- 2022
- Working Paper
Training, Communications Patterns, and Spillovers Inside Organizations
By: Miguel Espinosa and Christopher T. Stanton
We study direct productivity changes and spillovers after a randomized training program for the frontline workers in a Colombian government agency. While trained workers improved their individual production, we also find substantial spillovers that affected managers'...
View Details
Keywords:
Spillovers;
Labor Productivity;
Firm Objectives, Organization, And Behavior;
Training;
Performance Productivity
Espinosa, Miguel, and Christopher T. Stanton. "Training, Communications Patterns, and Spillovers Inside Organizations." NBER Working Paper Series, No. 30224, July 2022. (Revise and Resubmit at Journal of Political Economy .)
- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two...
View Details
Keywords:
AI and Machine Learning
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a...
View Details
Keywords:
Machine Learning Models;
Counterfactual Explanations;
Adversarial Examples;
Mathematical Methods
Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- Other Article
Sustainable Strategies and Net-Zero Goals
By: Mark L. Frigo, Robert S. Kaplan and Karthik Ramanna
In a recent Harvard Business Review article, Kaplan and Ramanna describe a rigorous approach, the E-liability method, for companies’ ESG reporting, especially as it pertains to GHG emissions measurements. They argue that the current standards for measuring...
View Details
Keywords:
Measurement;
Sustainability;
Net-zero Emissions;
Environmental Sustainability;
Integrated Corporate Reporting;
Measurement and Metrics;
Strategy
Frigo, Mark L., Robert S. Kaplan, and Karthik Ramanna. "Sustainable Strategies and Net-Zero Goals." Special Issue on Sustainability. Strategic Finance 103, no. 10 (April 2022): 42–49.
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how...
View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- January 2022
- Background Note
Common Prosperity? China Shifts Left
By: William C. Kirby and Noah B. Truwit
Since the founding of the People’s Republic of China in 1949, the ruling Chinese Communist Party (CCP) has been mistrustful of entrepreneurs and the private sector that operates outside the government’s authority. In its first decades under Mao Zedong, the CCP...
View Details
Keywords:
Market Reform;
Gdp;
Government Administration;
Government and Politics;
Private Sector;
Governing Rules, Regulations, and Reforms;
Economy;
Globalized Economies and Regions;
Entrepreneurship;
Business and Government Relations;
Globalized Markets and Industries;
Social Issues;
Society;
Economic Growth;
China
- 2022
- White Paper
Building from the Bottom Up: What Business Can Do to Strengthen the Bottom Line by Investing in Front-line Workers
By: Joseph B. Fuller and Manjari Raman
A significant number of American workers—44%—are employed in low wage jobs at the front line of industries. Despite undertaking some of the most tedious, dirtiest, and most dangerous jobs, low-wage workers are—and have long been—the most likely to be overlooked by...
View Details
Keywords:
COVID-19;
Labor Market;
Low-wage Workers;
Worker Welfare;
Churn/retention;
Morale;
Jobs and Positions;
Employees;
Wages;
Retention;
Well-being;
Human Resources
Fuller, Joseph B., and Manjari Raman. "Building from the Bottom Up: What Business Can Do to Strengthen the Bottom Line by Investing in Front-line Workers." White Paper, Harvard Business School, January 2022.
- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by...
View Details
Keywords:
Black Box Explanations;
Bayesian Modeling;
Decision Making;
Risk and Uncertainty;
Information Technology
Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- August 2021 (Revised February 2023)
- Case
Fair Park Covid-19 Mass Vaccination Site (A)
By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair...
View Details
Keywords:
Operations Improvement;
Operations And Processes;
Toyota Production System;
COVID-19 Pandemic;
Operations;
Service Operations;
Health Pandemics;
Problems and Challenges;
Goals and Objectives;
Measurement and Metrics;
Health Care and Treatment;
Health Industry;
United States;
Texas
Shih, Willy. "Fair Park Covid-19 Mass Vaccination Site (A)." Harvard Business School Case 622-003, August 2021. (Revised February 2023.)
- August 2021 (Revised February 2023)
- Supplement
Fair Park Covid-19 Mass Vaccination Site (B)
By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair...
View Details
Keywords:
Operations Management;
Operations Improvement;
Operations And Processes;
Toyota Production System;
COVID-19 Pandemic;
Operations;
Service Operations;
Health Pandemics;
Service Delivery;
Problems and Challenges;
Goals and Objectives;
Measurement and Metrics;
Health Industry;
United States
Shih, Willy. "Fair Park Covid-19 Mass Vaccination Site (B)." Harvard Business School Supplement 622-004, August 2021. (Revised February 2023.)