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- All HBS Web (118)
- Faculty Publications (38)
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- All HBS Web (118)
- Faculty Publications (38)
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- 22 Jun 2007
- Working Paper Summaries
Proprietary vs. Open Two-Sided Platforms and Social Efficiency
- May 2024
- Teaching Note
AI21 Labs in 2023: Strategy for Generative AI
By: David Yoffie
Teaching Note for HBS Case 724-383. The case has 3 important teaching purposes: First, what are the advantages and disadvantages of imitation? (e.g., Should AI21 imitate OpenAI with a chatbot?) Second, what are the advantages and disadvantages of keeping new technology... View Details
- 2024
- Working Paper
Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP
We delineate a general framework for incorporating many types of micro data from summary statistics to full surveys of selected consumers into Berry, Levinsohn, and Pakes (1995) style estimates of differentiated products demand systems. We extend recommended practices... View Details
Conlon, Chris, and Jeff Gortmaker. "Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP." Working Paper, September 2024.
- September 2006 (Revised September 2007)
- Case
VMware, Inc. (A)
By: David B. Yoffie, Ward Bullard, Nikhil Raj and Suja Vaidyanathan
VMware, Inc., the first company to crack the software virtualization market, faces new challenges from competitors' plans to bundle free virtualization solutions in operating systems. VMware, acquired by data storage giant EMC Corp. in 2003, has delivered top-line... View Details
Keywords: Technological Innovation; Growth and Development Strategy; Market Entry and Exit; Open Source Distribution; Competition
Yoffie, David B., Ward Bullard, Nikhil Raj, and Suja Vaidyanathan. "VMware, Inc. (A)." Harvard Business School Case 707-013, September 2006. (Revised September 2007.)
- 2003
- Working Paper
Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows
By: Ramon Casadesus-Masanell and Pankaj Ghemawat
This paper analyzes a dynamic mixed duopoly in which a profit-maximizing competitor interacts with a competitor that prices at zero (or marginal cost), with the cumulation of output affecting their relative positions over time. The modeling effort is motivated by... View Details
Keywords: Business Model; Competition; Open Source Distribution; Balance and Stability; Applications and Software; Network Effects; Duopoly and Oligopoly
Casadesus-Masanell, Ramon, and Pankaj Ghemawat. "Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows." Harvard Business School Working Paper, No. 04-012, August 2003.
- 15 Jan 2007
- Research & Ideas
The Business of Free Software
about exactly what to give away and how to couple it with complementary products and services than you do anything else." Wooing Open-source Developers Another focus centers on determining how to make it easier for the open source... View Details
- August 2023 (Revised February 2024)
- Case
Toby Norman: Is Passion Enough for Simprints to Thrive?
By: Jon M. Jachimowicz, Amram Migdal and Max Hancock
As co-founder and CEO of Simprints—a social enterprise with the mission to “transform the way the world fights poverty"—Toby Norman was at a crossroads. His organization had developed ground-breaking technology used to verify aid delivery, reached more than 2.5 million... View Details
Keywords: Mission and Purpose; Motivation and Incentives; Social Enterprise; Employees; Growth and Development Strategy
Jachimowicz, Jon M., Amram Migdal, and Max Hancock. "Toby Norman: Is Passion Enough for Simprints to Thrive?" Harvard Business School Case 424-015, August 2023. (Revised February 2024.)
- 2017
- Working Paper
Exploring the Relationship between Architecture Coupling and Software Vulnerabilities: A Google Chrome Case
By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack, Dan Sturtevant and Lee Doolan
Employing software metrics, such as size and complexity, for predicting defects has been given a lot of attention over the years and has proven very useful. However, the few studies looking at software architecture and vulnerabilities are limited in scope and findings.... View Details
Keywords: Software; Architecture; Coupling; Vulnerabilities; Applications and Software; Complexity; Measurement and Metrics
Lagerstrom, Robert, Carliss Y. Baldwin, Alan MacCormack, Dan Sturtevant, and Lee Doolan. "Exploring the Relationship between Architecture Coupling and Software Vulnerabilities: A Google Chrome Case." Harvard Business School Working Paper, No. 17-078, February 2017.
- 25 May 2007
- Working Paper Summaries
Self-Regulatory Institutions for Solving Environmental Problems: Perspectives and Contributions from the Management Literature
Keywords: by Andrew King & Michael W. Toffel
- 27 Mar 2008
- Working Paper Summaries
Exploring the Duality between Product and Organizational Architectures: A Test of the Mirroring Hypothesis
- 2024
- Working Paper
Open Devices and Slices: Evidence from Wi-Fi Equipment
By: Do Yoon Kim, Roberto Fontana and Shane Greenstein
Prior studies suggest that openness shapes the introduction of new products. This study
collects novel data on all routers and subcomponents introduced between 2000 and 2018. We
characterize each firm's position in a supply chain as upstream component providers... View Details
Kim, Do Yoon, Roberto Fontana, and Shane Greenstein. "Open Devices and Slices: Evidence from Wi-Fi Equipment." Harvard Business School Working Paper, No. 24-045, January 2024.
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Andrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
Farronato, Chiara, Andrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
- May–June 2025
- Article
Branch-and-Price for Prescriptive Contagion Analytics
By: Alexandre Jacquillat, Michael Lingzhi Li, Martin Ramé and Kai Wang
Contagion models are ubiquitous in epidemiology, social sciences, engineering, and management. This paper formulates a prescriptive contagion analytics model where a decision maker allocates shared resources across multiple segments of a population, each governed by... View Details
Jacquillat, Alexandre, Michael Lingzhi Li, Martin Ramé, and Kai Wang. "Branch-and-Price for Prescriptive Contagion Analytics." Operations Research 73, no. 3 (May–June 2025): 1558–1580.
- 2025
- Working Paper
Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs
By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
Cheng, Mengjie, Elie Ofek, and Hema Yoganarasimhan. "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Harvard Business School Working Paper, No. 25-051, April 2025.
- September 2022 (Revised August 2023)
- Case
Audrey Tang: Using Technology to Strengthen Democracy in Taiwan
By: Shikhar Ghosh and Shweta Bagai
Since the early days of the internet, Taiwan had a vibrant community of civic hackers and open-source programmers who engaged with social issues. Audrey Tang was one of them. She spearheaded the 2014 Sunflower Student Movement in Taiwan, where protestors peacefully... View Details
Keywords: Democracy; Internet; Web Technology; Digital Transformation; Digital Platform; COVID; Information Technology; Applications and Software; Governance; Entrepreneurship; Governing Rules, Regulations, and Reforms; Innovation and Invention; Taiwan; China; Asia
Ghosh, Shikhar, and Shweta Bagai. "Audrey Tang: Using Technology to Strengthen Democracy in Taiwan." Harvard Business School Case 823-048, September 2022. (Revised August 2023.)
- 07 Aug 2007
- First Look
First Look: August 7, 2007
Working PapersThe New Market for Federal Judicial Law Clerks Authors:Christopher Avery, Christine Jolls, Richard Posner, and Alvin E. Roth Abstract In the past, judges have often hired applicants for judicial clerkships as early as the beginning of the second year of... View Details
Keywords: Martha Lagace
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- Article
Design and Testing of a Mobile Health Application Rating Tool
By: David Levine, Zo Co, Lisa Newmark, Alissa Groisser, A Jay Holmgren, Jennifer Haas and David Bates
Mobile health applications (“apps”) have rapidly proliferated, yet their ability to improve outcomes for patients remains unclear. A validated tool that addresses apps’ potentially important dimensions has not been available to patients and clinicians. The objective of... View Details
Levine, David, Zo Co, Lisa Newmark, Alissa Groisser, A Jay Holmgren, Jennifer Haas, and David Bates. "Design and Testing of a Mobile Health Application Rating Tool." Art. 74. npj Digital Medicine 3 (2020).
- 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.
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.