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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.
- October 2024
- Teaching Plan
Teamworks: Tackling a Forecasting Fumble
By: Lou Shipley and Stacy Straaberg
In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional... View Details
Keywords: Acquisition; Business Growth and Maturation; Communication Strategy; Decisions; Forecasting and Prediction; Business Cycles; Technological Innovation; Sports; Growth and Development Strategy; Resource Allocation; Marketing; Sales; Business Strategy; Expansion; Sports Industry; Technology Industry; United States; North Carolina
- 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
Lanco Medical Group: Fostering Happiness for Growth
By: Susanna Gallani, Jenyfeer Martínez Buitrago and Katherine Sonnefeldt
This case describes how Lanco Medical Group, a fast-growing pharmaceutical distributor serving Latin America, approached the design of their employee benefits and incentives program. After learning about gaps between what leadership believed motivated employees and... View Details
- October 2024
- Technical Note
Association Rule Learning
By: Michael Parzen and Jo Ellery
Parzen, Michael, and Jo Ellery. "Association Rule Learning." Harvard Business School Technical Note 625-065, October 2024.
- 2024
- Working Paper
Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships
By: Julian De Freitas, Noah Castelo, Ahmet Uğuralp and Zeliha Uğuralp
Can consumers form deep emotional bonds with AI and be vested in AI identities over time? We
leverage a natural app-update event at Replika AI, a popular US-based AI companion, to shed
light on these questions. We find that customers feel closer to their AI companion... View Details
De Freitas, Julian, Noah Castelo, Ahmet Uğuralp, and Zeliha Uğuralp. "Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships." Harvard Business School Working Paper, No. 25-018, October 2024.
- 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.
- 2024
- Working Paper
Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance
By: Ramana Nanda
At the heart of entrepreneurial finance lies a persuasion challenge: regardless of
the strength of an entrepreneur’s belief in the potential of their idea, they typically
need to convince investors to provide the financial capital required for its... View Details
Keywords: Entrepreneurial Finance; Business Startups; Communication Intention and Meaning; Prejudice and Bias
Nanda, Ramana. "Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance." Harvard Business School Working Paper, No. 25-020, October 2024.
- 2024
- Book
Retiring: Creating a Life that Works for You
By: Teresa M. Amabile, Lotte Bailyn, Marcy Crary, Douglas T. (Tim) Hall and Kathy Kram
Retirement, as a major life transition, can be both thrilling and challenging in unexpected ways. Written by acclaimed authors in the fields of business leadership, careers, and work, this book goes beyond the typical financial and health-related advice on retirement,... View Details
Amabile, Teresa M., Lotte Bailyn, Marcy Crary, Douglas T. (Tim) Hall, and Kathy Kram. Retiring: Creating a Life that Works for You. Routledge, 2024.
- September 2024
- Case
Xendit: Hiring for Growth
By: Jeffrey F. Rayport, Steve Castano, Quoc Anh Nguyen and Claire Wu
In 2019, Xendit, a growth-stage Southeast Asia (SEA) fintech venture based in Jakarta, was looking to hire a Head of Sales and Head of Product to lead its next phase of growth. Founded by Moses Lo and Tessa Wijaya, Xendit provided payment infrastructure, modeling... View Details
Keywords: Finance; Entrepreneurship; Jobs and Positions; Sales; Product; Financial Services Industry; Technology Industry; Southeast Asia; Indonesia; Philippines
Rayport, Jeffrey F., Steve Castano, Quoc Anh Nguyen, and Claire Wu. "Xendit: Hiring for Growth." Harvard Business School Case 825-046, September 2024.
- 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.
- 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 23, 2024
- Article
AI Wants to Make You Less Lonely. Does It Work?
De Freitas, Julian. "AI Wants to Make You Less Lonely. Does It Work?" Wall Street Journal (September 23, 2024), R.11.
- 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.
- 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
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.
- 2024
- Working Paper
The Financial Anatomy of Climate Solutions: A Large Language Model Approach to Company Classification and Analysis
By: Shirley Lu and George Serafeim
Leveraging advancements in large language models (LLM), we study the financial characteristics of firms offering climate solutions-products and services aimed at fostering a transition to a low-carbon economy. We use a new measure that applies LLM to 10-K Item 1... View Details
Keywords: Climate; Climate Finance; Innovation; Technology; Financial Statement Analysis; AI and Machine Learning; Climate Change; Environmental Sustainability; Analysis; Financial Statements
Lu, Shirley, and George Serafeim. "The Financial Anatomy of Climate Solutions: A Large Language Model Approach to Company Classification and Analysis." Harvard Business School Working Paper, No. 25-026, August 2024.
- August 2024
- Case
DBS' AI Journey
By: Feng Zhu, Harold Zhu and Adina Wong
Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers.... View Details
Keywords: Corporate Governance; AI and Machine Learning; Digital Transformation; Risk Management; Value Creation; Banking Industry; Financial Services Industry; Asia; Singapore
Zhu, Feng, Harold Zhu, and Adina Wong. "DBS' AI Journey." Harvard Business School Case 625-053, August 2024.