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- All HBS Web
(4,562)
- Faculty Publications (650)
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
- 2024
- Working Paper
Digital Platforms 2.0: Learnings, Opportunities, and Challenges
By: Shrabastee Banerjee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang and Bobby Zhou
Platform-based digital ecosystems form the backbone of our interactions with the Internet. Over the past decade, digital ecosystems have witnessed significant growth, both in terms of industry footprint and academic research. Yet, the challenges associated with their... View Details
Banerjee, Shrabastee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang, and Bobby Zhou. "Digital Platforms 2.0: Learnings, Opportunities, and Challenges." Working Paper, June 2024.
- July 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
- 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.
- June 2024
- Teaching Note
Numenta in 2020: The Future of AI
By: David B. Yoffie
In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This teaching note explores the challenges of building a... View Details
- June 2024
- Case
Arete Research on Unity Software
By: Joseph Pacelli and Tonia Labruyere
Richard Kramer had founded Arete Research, an independent financial research provider, in 2000 after a successful career as a sell-side analyst at Goldman Sachs. He reflects on his team's coverage of Unity Software, a U.S.-based mobile games software company, that... View Details
Keywords: Analysis; Initial Public Offering; Analytics and Data Science; Applications and Software; Mobile and Wireless Technology; Valuation; Value Creation; Mergers and Acquisitions; Business Model; Reports; Financial Services Industry; Video Game Industry; United Kingdom; United States
Pacelli, Joseph, and Tonia Labruyere. "Arete Research on Unity Software." Harvard Business School Case 124-086, June 2024.
- June 2024 (Revised December 2024)
- Case
Lana Ghanem: Pushing the Boundaries of Health Care Through Venture Capital
By: Joshua D. Margolis and Ahmed Dahawy
Lana Ghanem, managing director of Hikma Ventures, the corporate venture arm of larger pharmaceutical group Hikma, is considering how to grow the venture arm as well as progress her own career. Over the past few years Hikma's executive team had been pressuring the... View Details
Keywords: Business Divisions; Corporate Entrepreneurship; Investment; Corporate Governance; Health Care and Treatment; Leadership Development; Business or Company Management; Growth and Development Strategy; Business Strategy; Venture Capital; Personal Development and Career; Health Industry; Pharmaceutical Industry; Jordan
Margolis, Joshua D., and Ahmed Dahawy. "Lana Ghanem: Pushing the Boundaries of Health Care Through Venture Capital." Harvard Business School Case 424-075, June 2024. (Revised December 2024.)
- June 2024
- Case
SnapTravel: Betting on 'Super.com'
By: Reza Satchu and Tom Quinn
This case explores SnapTravel, a travel startup offering discounted hotel rooms, and its founders’ desire to pivot to a “super app” that saved customers money across many different purchase types. During the COVID-19 pandemic, Hussein Fazal and Henry Shi saw SnapTravel... View Details
Keywords: Business Growth and Maturation; Business Plan; Business Startups; Change Management; Disruption; Transformation; Volatility; Customer Focus and Relationships; Customer Value and Value Chain; Decisions; Income; Entrepreneurship; Geographic Scope; Cross-Cultural and Cross-Border Issues; Health Pandemics; Surveys; Knowledge Acquisition; Knowledge Use and Leverage; Leading Change; Crisis Management; Goals and Objectives; Risk Management; Consumer Behavior; Game Theory; Risk and Uncertainty; Adaptation; Diversification; Expansion; System Shocks; Technology Industry; Technology Industry; Canada; United States; Las Vegas
- 2024
- Working Paper
Advancing Personalization: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
- June 2024
- Article
Real Growth in Space Manufacturing Output Substantially Exceeds Growth in the Overall Space Economy
By: Tina Highfill and Matthew Weinzierl
Accurately measuring real economic output in the space economy is made difficult by the rapid increase in capabilities and decrease in prices of launch and satellite technologies achieved over the past two decades. Nominal measures of output in space will tend to... View Details
Highfill, Tina, and Matthew Weinzierl. "Real Growth in Space Manufacturing Output Substantially Exceeds Growth in the Overall Space Economy." Acta Astronautica 219 (June 2024): 236–242.
- June 2024
- Article
Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices
By: Jason Shafrin, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington and Richard Willke
This study argues that value assessment conducted from a societal perspective should rely on the Generalized Cost-Effectiveness Analysis (GCEA) framework proposed herein. Recently developed value assessment inventories—such as the Second Panel on Cost-Effectiveness’s... View Details
Shafrin, Jason, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington, and Richard Willke. "Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices." Forum of Health Economics and Policy 27, no. 1 (June 2024): 29–116.
- May 2024
- Case
A New Aiera for Equity Research
By: Joseph Pacelli, Charles CY Wang and James Barnett
Aiera (pronounced “era”) co-founder and CEO Ken Sena considers strategic pathways to growth for the artificial intelligence (AI)-powered platform used to source, verify, and transcribe earnings calls, company presentations, and other corporate events. View Details
- May 2024
- Teaching Note
AI Wars
By: Andy Wu and Matt Higgins
Teaching Note for HBS Case No. 723-434. In 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI popularized over... View Details
- April 2024 (Revised December 2024)
- Case
Anthropic: Building Safe AI
By: Shikhar Ghosh and Shweta Bagai
In late 2024, Anthropic, a leading AI safety and research company, achieved a significant breakthrough with computer use capabilities that allowed AI to interact with computers like humans. Co-founded by former OpenAI employees and known for its generative AI... View Details
Keywords: AI and Machine Learning; Corporate Accountability; Corporate Social Responsibility and Impact; Business Growth and Maturation; Corporate Strategy; Technology Industry; United States
Ghosh, Shikhar, and Shweta Bagai. "Anthropic: Building Safe AI." Harvard Business School Case 824-129, April 2024. (Revised December 2024.)
- April 2024 (Revised August 2024)
- Case
The Engine
By: Joshua Lev Krieger, Jim Matheson, Fiona Murray and Nicholas Christman
The Engine, a venture capital firm founded by MIT to fill a gap in the technology funding landscape by commercializing breakthrough science and technology. Led by managing partner and CEO Katie Rae, the Engine's unique approach involved an unusually longer fund life,... View Details
Keywords: Growth and Development Strategy; Mission and Purpose; Venture Capital; Business Startups; Entrepreneurial Finance; Financial Services Industry
Krieger, Joshua Lev, Jim Matheson, Fiona Murray, and Nicholas Christman. "The Engine." Harvard Business School Case 824-147, April 2024. (Revised August 2024.)
- April 3, 2024
- Article
How Automakers Can Address Resistance to Self-Driving Cars
By: Stuti Agarwal, Julian De Freitas and Carey K. Morewedge
Research involving multiple experiments found that consumers have biased views of their driving abilities relative to those of other drivers and automated vehicles. These findings have implications for the adoption of partly or fully automated vehicles, which one day... View Details
Keywords: Technology Adoption; Consumer Behavior; Government Legislation; Prejudice and Bias; Technology Industry; Technology Industry
Agarwal, Stuti, Julian De Freitas, and Carey K. Morewedge. "How Automakers Can Address Resistance to Self-Driving Cars." Harvard Business Review (website) (April 3, 2024).
- March 2024
- Case
Biomanufacturing Decentralization by Stämm
By: Paul A. Gompers, Jenyfeer Martínez Buitrago and Mariana Cal
In Buenos Aires, Argentina, cousins Llamazares and D’Alvia founded Stämm, a startup based on the idea of decentralizing biomanufacturing processes and downsizing biotech facilities. After raising its seed and series A rounds, and while finalizing its series B round in... View Details
Keywords: Business Model; Business Startups; Entrepreneurship; Venture Capital; Selection and Staffing; Technological Innovation; Science-Based Business; Business Strategy; Commercialization; Growth and Development Strategy; Product Launch; Research and Development; Biotechnology Industry; Latin America; South America; Argentina; Buenos Aires
Gompers, Paul A., Jenyfeer Martínez Buitrago, and Mariana Cal. "Biomanufacturing Decentralization by Stämm." Harvard Business School Case 824-190, March 2024.
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.