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- 2024
- Working Paper
Climate Solutions, Transition Risk, and Stock Returns
By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets
Lu, Shirley, Edward J. Riedl, Simon Xu, and George Serafeim. "Climate Solutions, Transition Risk, and Stock Returns." Harvard Business School Working Paper, No. 25-024, November 2024.
- 2024
- Working Paper
Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups
By: Shirley Lu, George Serafeim and Simon Xu
We study whether incumbent firms increase their product focus on climate solutions in response to venture capital (VC) financing of climate-tech startups. Using large language models to measure a firm's focus on climate solutions, we find that incumbents in similar... View Details
Keywords: Climate Change; Climate Finance; Innovation; Technology; Entrepreneurship; Venture Capital; Private Equity; Environment; Sustainability
Lu, Shirley, George Serafeim, and Simon Xu. "Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups." Harvard Business School Working Paper, No. 25-025, November 2024.
- October 2024
- Case
Tonik
By: Andy Wu, Maliha Malek Quadir and Aticus Peterson
This case study examines Tonik, the first digital bank in the Philippines, as it navigates the challenges of scaling its lending operations and achieving profitability in an evolving fintech landscape. It explores Tonik's journey from its launch in 2018 to early 2024,... View Details
- 2024
- Working Paper
Generative AI and the Nature of Work
By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
Recent advances in artificial intelligence (AI) technology demonstrate considerable potential to
complement human capital intensive activities. While an emerging literature documents wide-ranging productivity
effects of AI, relatively little attention has been paid... View Details
Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024.
- October 2024
- Case
Nvidia
By: Andy Wu and Matt Higgins
This case study examines Nvidia's strategic pivot from gaming GPUs to becoming a leader in general-purpose computing and AI. It explores how Nvidia leveraged its GPU architecture to dominate the growing fields of data center acceleration and AI training, outpacing... View Details
- October 2024 (Revised October 2024)
- Case
SWEN Blue Ocean: Impact Investing Goes to Sea
By: Vikram S Gandhi and David Allen
In August 2023, SWEN Blue Ocean, a €170 million impact fund that invested in startups contributing to ocean sustainability, faced a critical investment decision. Part of SWEN Capital Partners, an €8 billion, Paris-based private equity fund, Blue Ocean was co-founded in... View Details
- September–October 2024
- Article
Boards Need a New Approach to Technology
By: Tarun Khanna, Mary C. Beckerle and Nabil Y. Sakkab
The boards of too many publicly traded companies are downright timid when considering matters involving science and technology. More often than not, they focus on security and digitization—a defensive posture that fails to consider the bigger opportunities emerging... View Details
Khanna, Tarun, Mary C. Beckerle, and Nabil Y. Sakkab. "Boards Need a New Approach to Technology." Harvard Business Review 102, no. 5 (September–October 2024): 128–137.
- 2024
- Working Paper
Global Evidence on Gender Gaps and Generative AI
By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if used broadly. In this paper, we show that recently identified gender gaps in AI use are nearly universal. Synthesizing evidence from 16 studies that surveyed 100,000... View Details
Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024.
- October 2024
- Article
Strategic Decision Making at Platform Transitions: The Case of Nokia (2010-2011).
By: Timo O. Vuori and Michael Tushman
We studied Nokia’s decision to adopt the Windows platform in 2011 to induce new theory on the emotional dynamics of incumbent firms’ strategic decision making at platform transitions. We find that platform companies’ entry into an established industry activates a... View Details
Vuori, Timo O., and Michael Tushman. "Strategic Decision Making at Platform Transitions: The Case of Nokia (2010-2011)." Strategic Management Journal 45, no. 10 (October 2024): 2018–2062.
- 2024
- Working Paper
When Batteries Meet Hydrogen: Dual-Storage Investments for Load-Shifting Purposes
By: Christian Kaps and Simone Marinesi
Power systems account for nearly 40% of global emissions. As the world tries to reduce emissions by increasing renewable penetration, storage technologies are playing an increasingly important role in matching variable renewable supply with demand. Batteries have... View Details
Keywords: Environmental Sustainability; Renewable Energy; Transition; Utilities Industry; Battery Industry
Kaps, Christian, and Simone Marinesi. "When Batteries Meet Hydrogen: Dual-Storage Investments for Load-Shifting Purposes." Working Paper, October 2024.
- September 2024
- Case
TechEnergy Ventures: Innovating Through Corporate Venture Capital
By: Rebecca Karp and Lena Duchene
This case examines TechEnergy Ventures, the corporate venture capital (CVC) arm of the Techint Group, and its role in scaling innovation within the energy sector. Founded in 2021, TechEnergy Ventures operates with a mandate to invest in disruptive technologies to... View Details
Keywords: Transition; Alternative Energy; Renewable Energy; Metals and Minerals; Mining; Corporate Entrepreneurship; Climate Change; Environmental Sustainability; Corporate Finance; Venture Capital; Financial Strategy; Investment Portfolio; Growth and Development Strategy; Adaptation; Diversification; Innovation Strategy; Energy Industry; Financial Services Industry; Italy; Europe; Latin America; Argentina
- September 2024
- Exercise
Finding Your 'Jagged Frontier': A Generative AI Exercise
By: Mitchell Weiss
In 2023 a set of scholars set out to study the effect of artificial intelligence (AI) on the quality and productivity of knowledge workers—in this specific instance, management consultants. They wanted to know across a range of tasks in a workflow, which, if any, would... View Details
Keywords: AI and Machine Learning
Weiss, Mitchell. "Finding Your 'Jagged Frontier': A Generative AI Exercise." Harvard Business School Exercise 825-070, September 2024.
- September 2024
- Case
Aramco: Navigating the Energy Transition
By: Tarun Khanna and Gizem Cihan Dincsoy
In March 2024, Amin Nasser, president, and CEO of the Saudi Arabian Oil Company (Aramco), had just delivered a speech about the future of energy at a global energy conference. The world was behind schedule in meeting long-term climate change goals. The global shift... View Details
- 2024
- Working Paper
Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration
By: Daniel Yue and Frank Nagle
Many companies offer free access to their technology to encourage outside addon
innovation, hoping to later profit by raising prices or harnessing the power of the crowd
while continuing to steer the direction of innovation. They can achieve this balance by
opening... View Details
Keywords: Technological Innovation; Power and Influence; Collaborative Innovation and Invention; Corporate Governance
Yue, Daniel, and Frank Nagle. "Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration." Harvard Business School Working Paper, No. 25-013, September 2024.
- September 9, 2024
- Article
Ten Questions for a Winning Climate-transition Business Strategy
By: George Serafeim
The move to a low-carbon economy will create opportunities for innovation and growth. To make the most of them, leaders must understand the challenges they could face along the way. View Details
Keywords: Technology; Organizational Transformations; Business Model Innovation; Innovation and Invention; Climate Change; Transformation; Leadership; Business Strategy; Environmental Sustainability; Change Management; Entrepreneurship
Serafeim, George. "Ten Questions for a Winning Climate-transition Business Strategy." Strategy + Business (website) (September 9, 2024).
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- 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).
- 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.
- 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.