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- Faculty Publications (4,926)
- September 2024
- Exercise
Building an AI First Snack Company: A Hands-on Generative AI Exercise
By: Iavor I. Bojinov
Although the term 'Generative AI' (GenAI) is widely recognized, its practical application in daily workflows has yet to be understood. This exercise introduces students to GenAI tools, demonstrating how they can be seamlessly integrated into professional work practices... View Details
Keywords: AI and Machine Learning; Technology Adoption; Marketing Strategy; Product Launch; Brands and Branding
Bojinov, Iavor I. "Building an AI First Snack Company: A Hands-on Generative AI Exercise." Harvard Business School Exercise 625-052, September 2024.
- September–October 2024
- Article
How AI Can Power Brand Management
By: Julian De Freitas and Elie Ofek
Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details
Keywords: Creativity; AI and Machine Learning; Brands and Branding; Product Positioning; Customer Focus and Relationships
De Freitas, Julian, and Elie Ofek. "How AI Can Power Brand Management." Harvard Business Review 102, no. 5 (September–October 2024): 108–114.
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can... View Details
Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
- 2024
- Working Paper
Patent Hunters
By: Lauren Cohen, Umit Gurun, Katie Moon and Paula Suh
Analyzing millions of patents granted by the USPTO between 1976 and 2020, we find a pattern where specific patents only rise to prominence after considerable time has passed. Amongst these late-blooming influential patents, we show that there are key players (patent... View Details
Cohen, Lauren, Umit Gurun, Katie Moon, and Paula Suh. "Patent Hunters." NBER Working Paper Series, No. 32965, September 2024.
- September 2024
- Article
Standing on the Shoulders of Science
By: Joshua Lev Krieger, Monika Schnitzer and Martin Watzinger
Today’s innovations rely on scientific discoveries of the past, yet only some corporate
R&D builds directly on scientific output. In this paper, we analyze U.S. patents to
investigate how firms generate value by building on prior art “closer” to science. We
show... View Details
Krieger, Joshua Lev, Monika Schnitzer, and Martin Watzinger. "Standing on the Shoulders of Science." Strategic Management Journal 45, no. 9 (September 2024): 1670–1695.
- 2024
- Working Paper
The New Digital Divide
By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
- 2024
- Working Paper
The Wade Test: Generative AI and CEO Communication
By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (AI) transform the role of the CEO by effectively automating CEO
communication? This study investigates whether AI can mimic a human CEO and whether employees’
perception of the communication’s source matter. In a field... View Details
Choudhury, Prithwiraj, Bart S. Vanneste, and Amirhossein Zohrehvand. "The Wade Test: Generative AI and CEO Communication." Harvard Business School Working Paper, No. 25-008, August 2024.
- August 2024
- Case
Cristina Ventura: The Career of a Catalyst
By: Linda A. Hill, Allison J. Wigen and Ruth Page
This multimedia case follows the career of Chief Catalyst Officer for the Lane Crawford Joyce Group (LCJG), Cristina Ventura. After beginning her career in luxury in Europe and Asia, Ventura was recruited in 2011 to open Apple’s flagship stores in Hong Kong and South... View Details
Keywords: Leadership; Innovation; Innovation Leadership; Innovation Strategy; Technological Innovation; Leadership Style; Leading Change; Entrepreneurship; Luxury; Family Business; Technology Industry; Technology Industry; Technology Industry; Asia; China; Hong Kong
Hill, Linda A., Allison J. Wigen, and Ruth Page. "Cristina Ventura: The Career of a Catalyst." Harvard Business School Multimedia/Video Case 425-708, August 2024.
- August 2024
- Case
Sky Therapeutics: Innovating in Digital Therapeutics
By: Satish Tadikonda, Olivia Reszczynski and William Marks
Shad Faraz and Alex Youssef were intrigued by the opportunities in the relatively new area of Digital Therapeutics. Despite initial successes, early entrants had struggled with reimbursement and revenue-predictability challenges. However, venture investors still... View Details
- August 2024
- Case
Iogen: Decarbonizing Hard-to-Abate Sectors
By: George Serafeim, Charlotte Foody and John Mulliken
Brian Foody, CEO of Iogen Corporation, was an early leader in advanced biofuels, developing a range of technologies to transform agricultural waste into transportation fuel. With $100 million in revenue and 350 patents across various biofuel technologies, Iogen was... View Details
Keywords: Technology; Biofuel; Market Attractiveness; Strategy; Decarbonization; Sustainability; Technological Innovation; Climate Change; Energy; Energy Industry; United States; United Kingdom
Serafeim, George, Charlotte Foody, and John Mulliken. "Iogen: Decarbonizing Hard-to-Abate Sectors." Harvard Business School Case 125-037, August 2024.
- August 2024
- Case
Oculii
By: Andy Wu and Lucas Defilippo
It was a bright June day in 2016. Steven Hong, co-founder and COO of Oculii had just signed a letter of intent agreeing to a 51% stake acquisition by Nexteer Automotive, a global steering and driveline supplier company that developed advanced driver assistance systems... View Details
- August 2024
- Background Note
Mitigating Climate Change with Machine Learning
By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney
This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details
Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention
Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 2024.
- August 13, 2024
- Editorial
Can AI Save Physicians from Burnout?
By: Susanna Gallani, Lidia Moura and Katie Sonnefeldt
Gallani, Susanna, Lidia Moura, and Katie Sonnefeldt. "Can AI Save Physicians from Burnout?" Harvard Business School Working Knowledge (August 13, 2024).
- August 2024 (Revised October 2024)
- Case
Discerene Group: Long-Term Public-Markets Investing
By: Luis M. Viceira and Brent Schwarz
This case discusses active investing based on fundamental valuations and price distortions created by market events, and whether contractual terms between investment managers and their investors can help align incentives between long-term investors and active managers.... View Details
Viceira, Luis M., and Brent Schwarz. "Discerene Group: Long-Term Public-Markets Investing." Harvard Business School Case 225-023, August 2024. (Revised October 2024.)
- July–August 2024
- Article
Navigating the Future of Online Advertising with WEB3
By: Frank V. Cespedes and Ben Plomion
or years, digital ad spend was a steadily growing portion of marketing budgets. But online advertising faces challenges that mean a transformative shift in digital marketing. Meanwhile, so-called “Web3” has emerged as a medium that can change ad spend and how personal... View Details
Cespedes, Frank V., and Ben Plomion. "Navigating the Future of Online Advertising with WEB3." European Business Review (July–August 2024).
- 2024
- Working Paper
The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations
By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 2024.)
- 2024
- Book
Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity
By: Karen G. Mills
The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details
Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science
Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. 2nd Edition New York City, NY: Palgrave Macmillan, 2024.
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
- July 2024
- Case
Dynamic Pricing at Wendy’s: Where’s the Beef?
By: Elie Ofek, Alicia Dadlani and Martha Hostetter
In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details