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- 2022
- Working Paper
Innovation on Wings: Nonstop Flights and Firm Innovation in the Global Context
By: Dany Bahar, Prithwiraj Choudhury, Do Yoon Kim and Wesley W. Koo
We study whether, when, and how better connectivity through nonstop flights leads to positive innovation outcomes for firms in the global context. Using unique data of all flights emanating from 5,015 airports around the globe from 2005 to 2015 and exploiting a...
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Keywords:
Nonstop Flights;
Collaborative Innovation and Invention;
Patents;
Research and Development;
Air Transportation Industry
Bahar, Dany, Prithwiraj Choudhury, Do Yoon Kim, and Wesley W. Koo. "Innovation on Wings: Nonstop Flights and Firm Innovation in the Global Context." Harvard Business School Working Paper, No. 23-009, July 2022.
- June 2022
- Article
The Use and Misuse of Patent Data: Issues for Finance and Beyond
By: Josh Lerner and Amit Seru
Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing...
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Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
- 2022
- Article
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.
By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has...
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Keywords:
Graph Neural Networks;
Explanation Methods;
Mathematical Methods;
Framework;
Theory;
Analysis
Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- April 2022
- Article
Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft
By: Shunyuan Zhang, Dokyun Lee, Param Singh and Tridas Mukhopadhyay
We examine whether and how ride-sharing services influence the demand for home-sharing services. Our identification strategy hinges on a natural experiment in which Uber/Lyft exited Austin, Texas, in May 2016 due to local regulation. Using a 12-month longitudinal...
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Keywords:
Airbnb;
Uber;
Natural Experiment;
Geographic Demand Dispersion;
Sharing Economy;
Transportation;
Demand and Consumers;
Geographic Scope
Zhang, Shunyuan, Dokyun Lee, Param Singh, and Tridas Mukhopadhyay. "Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft." Journal of Marketing Research (JMR) 59, no. 2 (April 2022): 374–391.
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless...
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Keywords:
Causal Inference;
Partial Interference;
Synthetic Controls;
Bayesian Structural Time Series;
Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
- March 2022 (Revised July 2022)
- Case
Nexleaf Analytics: Saving the World Using the Internet of Things
By: Frank Nagle
In 2019, a decade after co-founding Nexleaf Analytics, CEO Nithya Ramanathan faced an important decision that would impact the ability of the small, but growing, not-for-profit organization to thrive for another decade. Their sensor technologies and big data analytics...
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Keywords:
Corporate Strategy;
Collaborative Innovation and Invention;
Technological Innovation;
Nonprofit Organizations;
Competitive Strategy;
Patents;
Expansion;
Information Technology;
Health Industry;
Information Industry;
Medical Devices and Supplies Industry;
Technology Industry
Nagle, Frank. "Nexleaf Analytics: Saving the World Using the Internet of Things." Harvard Business School Case 722-414, March 2022. (Revised July 2022.)
- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with...
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Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
- March 2022
- Article
Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention
By: Brad Chattergoon and William R. Kerr
U.S. invention has become increasingly concentrated around major tech centers since the 1970s, with implications for how much cities across the country share in concomitant local benefits. Is invention becoming a winner-takes-all race? We explore the rising spatial...
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Keywords:
Clusters;
Invention;
Agglomeration;
Artificial Intelligence;
Innovation and Invention;
Patents;
Applications and Software;
Industry Clusters;
AI and Machine Learning
Chattergoon, Brad, and William R. Kerr. "Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention." Art. 104418. Research Policy 51, no. 2 (March 2022).
- February 2022 (Revised February 2024)
- Case
Sekisui House and the In-Home Early Detection Platform
By: John D. Macomber and Akiko Kanno
To address an aging population and sales declines, a major Japanese homebuilder considers pivoting to provide and support an in-home health detection platform, in competition with tech companies. This case considers the point of view of major builders regarding how...
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Keywords:
Voice Assistants;
Architecture;
Smart Home;
Aging Society;
Digitalization;
Real Estate;
Home Automation;
Sensors;
Strategy;
Digital Platforms;
Health Care and Treatment;
Housing;
Age;
Real Estate Industry;
Construction Industry;
Health Industry;
Japan
Macomber, John D., and Akiko Kanno. "Sekisui House and the In-Home Early Detection Platform." Harvard Business School Case 222-070, February 2022. (Revised February 2024.)
- February 2022 (Revised September 2022)
- Case
InstaDeep: AI Innovation Born in Africa (A)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.]....
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Keywords:
AI;
Artificial Intelligence;
Entrepreneurship;
Operations;
Business Subsidiaries;
Brands and Branding;
Innovation and Invention;
Growth and Development Strategy;
AI and Machine Learning;
Technology Industry;
Africa
Ghosh, Shikhar, and Esel Çekin. "InstaDeep: AI Innovation Born in Africa (A)." Harvard Business School Case 822-104, February 2022. (Revised September 2022.)
- February 2022 (Revised July 2022)
- Supplement
InstaDeep: AI Innovation Born in Africa (B)
By: Shikhar Ghosh and Esel Çekin
Karim Beguir and Zohra Slim were the co-founders of InstaDeep, a deep tech startup focusing on artificial intelligence (AI) solutions. Instadeep was one of the few companies globally that were partnering with DeepMind, an AI subsidiary of Google [Alphabet Inc.]....
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Keywords:
AI;
Artificial Intelligence;
Entrepreneurship;
Operations;
Business Subsidiaries;
Brands and Branding;
Innovation and Invention;
Growth and Development Strategy;
AI and Machine Learning;
Technology Industry;
Africa
Ghosh, Shikhar, and Esel Çekin. "InstaDeep: AI Innovation Born in Africa (B)." Harvard Business School Supplement 822-105, February 2022. (Revised July 2022.)
- 2022
- Working Paper
Talent Flows and the Geography of Knowledge Production: Causal Evidence from Multinational Firms
By: Dany Bahar, Prithwiraj Choudhury, Sara Signorelli and James M. Sappenfield
Leveraging a unique dataset merging patent data with all work-related migration reforms that took place in 15 countries over 26 years, we show that reforms discouraging inventor mobility decrease the patenting of MNE subsidiaries within a country, while reforms...
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Keywords:
Migration;
Technology;
Policy Evaluation;
Patents;
Information Technology;
Immigration;
Policy;
Collaborative Innovation and Invention;
Globalization
Bahar, Dany, Prithwiraj Choudhury, Sara Signorelli, and James M. Sappenfield. "Talent Flows and the Geography of Knowledge Production: Causal Evidence from Multinational Firms." Harvard Business School Working Paper, No. 22-047, January 2022. (Revised December 2022.)
- January 2022 (Revised September 2023)
- Case
Simplifyy
By: Paul A. Gompers and Alicia Dadlani
Jake Lisby, co-founder and CEO of Simplifyy, a property technology startup in Kansas City, Missouri, was both exhausted and exhilarated by the flurry of activity surrounding the pivot of the business model in late 2021. Simplifyy, a venture-backed PropTech company, was...
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Keywords:
SaaS;
SaaS Business Models;
Business Model;
Business Startups;
Small Business;
Geographic Location;
Technological Innovation;
Information Technology;
Transformation;
Problems and Challenges;
Real Estate Industry;
Information Technology Industry;
United States;
Missouri
Gompers, Paul A., and Alicia Dadlani. "Simplifyy." Harvard Business School Case 222-050, January 2022. (Revised September 2023.)
- 2022
- Case
Marathon Petroleum and Southwest Detroit: The Intersection of Community and Environment
Environmental racism describes the unequal burden of environmental hazards placed on disadvantaged communities through systems, policies, and practices. In such a situation, these people disproportionately live close to sources of toxic waste-what are referred to as...
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Keywords:
Environmental Regulation;
Pollutants;
Pollution;
Equality and Inequality;
Social Issues;
Poverty;
Race;
Health Disorders;
Ethics
Hoffman, Andrew J. "Marathon Petroleum and Southwest Detroit: The Intersection of Community and Environment." William Davidson Institute Case 2-652-482, 2022.
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time...
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Keywords:
Artificial Intelligence;
Platform;
Interactive Physical Simulation;
Virtual Environment;
Multi-modal;
AI and Machine Learning
Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
- 2022
- Working Paper
Omnia Juncta in Uno: Foreign Powers and Trademark Protection in Shanghai's Concession Era
By: Laura Alfaro, Cathy Bao, Maggie X. Chen, Junjie Hong and Claudia Steinwender
We investigate how firms and markets adapt to trademark protection, an extensively used
but under-examined form of IP protection to address asymmetric information, by exploring
a historical precedent: China’s trademark law of 1923. Exploiting unique, newly...
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Keywords:
Trademark;
Firm Dynamics;
Intermediaries;
Intellectual Property Institutions;
Trademarks;
Intellectual Property;
Laws and Statutes;
Outcome or Result;
Organizational Change and Adaptation;
China
Alfaro, Laura, Cathy Bao, Maggie X. Chen, Junjie Hong, and Claudia Steinwender. "Omnia Juncta in Uno: Foreign Powers and Trademark Protection in Shanghai's Concession Era." Harvard Business School Working Paper, No. 22-030, November 2021. (Revised November 2022. Revise and Resubmit American Economic Review.)
- 2021
- Working Paper
Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention
By: Brad Chattergoon and William R. Kerr
U.S. invention has become increasingly concentrated around major tech centers since the 1970s, with implications for how much cities across the country share in concomitant local benefits. Is invention becoming a winner-takes-all race? We explore the rising spatial...
View Details
Keywords:
Invention;
Innovation;
Artificial Intelligence;
Clusters;
Agglomeration;
Innovation and Invention;
Patents;
Applications and Software;
Industry Clusters;
United States
Chattergoon, Brad, and William R. Kerr. "Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention." Harvard Business School Working Paper, No. 22-027, October 2021. (NBER Working Paper Series, No. 29456, November 2021.)
- October 2021
- Case
CrisisReady: Private Data for Public Good
By: Tarun Khanna and James Barnett
In October 2021, CRISISREADY.io considers how and if it should scale operations.
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- September 2021 (Revised October 2021)
- Case
Dream: Impact Through Real Estate
By: Michael Chu and John Masko
The Canadian city of Toronto had one of the largest housing affordability problems of any city in the developed world. One company trying to address this problem was Dream, one of the largest real estate groups in Canada. In 2021, Dream had just launched a new system...
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Keywords:
Impact Investing;
Real Estate Development;
Renewable Energy;
Energy Conservation;
Income;
Values and Beliefs;
Borrowing and Debt;
Equity;
Private Equity;
Public Equity;
Financing and Loans;
City;
Government Legislation;
Immigration;
Housing;
Corporate Social Responsibility and Impact;
Mission and Purpose;
Property;
Business and Government Relations;
Civil Society or Community;
Human Needs;
Sustainable Cities;
Environmental Sustainability;
Social Enterprise;
Real Estate Industry;
Canada;
Toronto
Chu, Michael, and John Masko. "Dream: Impact Through Real Estate." Harvard Business School Case 322-041, September 2021. (Revised October 2021.)
- 2021
- Other Unpublished Work
Computer-Implemented Methods and Systems for Measuring, Estimating, and Managing Economic Outcomes and Technical Debt in Software Systems and Projects: US Patent 11,126,427 B2
By: Daniel J. Sturtevant, Carliss Baldwin, Alan MacCormack, Sunny Ahn and Sean Gilliland
An interrelated set of tools and methods is disclosed for: (1) measuring the relationship between software source code attributes (such as code quality, design quality, test quality, and complexity metrics) and software economics outcome metrics (such as...
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Sturtevant, Daniel J., Carliss Baldwin, Alan MacCormack, Sunny Ahn, and Sean Gilliland. "Computer-Implemented Methods and Systems for Measuring, Estimating, and Managing Economic Outcomes and Technical Debt in Software Systems and Projects: US Patent 11,126,427 B2." Cambridge, MA, September 2021.