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- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
- January 2025
- Case
Negotiating with Data: Analytics FC (A)
By: Jillian Jordan and Livia Alfonsi
Analytics FC was a UK-based sports consultancy that focused on international football (soccer), leveraging cutting-edge data-analytic techniques to support clubs, federations, and players. In 2022, Alex Greenwood, an elite female defender, approached the company for... View Details
Keywords: Negotiation; Negotiation Preparation; Gender; Analytics and Data Science; Sports; Reputation; Value Creation; Consulting Industry; Sports Industry; Europe; United Kingdom
Jordan, Jillian, and Livia Alfonsi. "Negotiating with Data: Analytics FC (A)." Harvard Business School Case 925-014, January 2025.
- January 2025
- Supplement
Negotiating with Data: Analytics FC (B)
By: Jillian Jordan and Livia Alfonsi
Analytics FC was a UK-based sports consultancy that focused on international football (soccer), leveraging cutting-edge data-analytic techniques to support clubs, federations, and players. In 2022, Alex Greenwood, an elite female defender, approached the company for... View Details
Keywords: Negotiation; Negotiation Preparation; Gender; Analytics and Data Science; Sports; Reputation; Value Creation; Consulting Industry; Sports Industry; Europe; United Kingdom
Jordan, Jillian, and Livia Alfonsi. "Negotiating with Data: Analytics FC (B)." Harvard Business School Supplement 925-015, January 2025.
- 2025
- Working Paper
Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India
By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India
Cole, Shawn, Grady Killeen, Tomoko Harigaya, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Harvard Business School Working Paper, No. 25-035, January 2025.
- 2025
- Working Paper
Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI
By: Rebecca Karp
Existing literature often separates research on the design of innovations from their implementation and use, neglecting the role of selection—how organizations choose which innovations to implement. Although scholars suggest scientific approaches for selecting novel... View Details
Keywords: Decision Choices and Conditions; Technology Adoption; Groups and Teams; Prejudice and Bias
Karp, Rebecca. "Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI." Harvard Business School Working Paper, No. 25-034, January 2025.
- January 2025
- Supplement
Hippo: Weathering the Storm of the Home Insurance Crisis (B)
By: Lauren Cohen, Grace Headinger and Sophia Pan
Rick McCathron, CEO of Hippo, was optimistic about the InsurTech's path to profitability after navigating the financial uncertainties of 2022. By bundling their home insurance services with third-parties and established insurance incumbents, Hippo was adopting a... View Details
Keywords: Fintech; Underwriters; Big Data; Homeowners' Insurance; Catastrophe Risk; Global Warming; Environment; Business Economics; Vertical Specialization; Bundling; Economies Of Scale; Business Model; Forecasting and Prediction; Climate Change; Environmental Sustainability; Green Technology; Technological Innovation; Natural Environment; Natural Disasters; Weather; Business Strategy; Competitive Advantage; Business Earnings; Insurance; Social Issues; Insurance Industry; California; United States
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- January–February 2025
- Article
Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing
By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
- 2024
- Working Paper
Why Most Resist AI Companions
By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details
Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised January 2025.)
- November 2024
- Supplement
AlphaGo (B): Birth of a New Intelligence
By: Shikhar Ghosh and Shweta Bagai
This case, the second in a three-part series, explores DeepMind's evolution from developing game-specific AI to more generalized learning systems. Following AlphaGo's 2017 victory over the Go world champion, DeepMind introduced two revolutionary systems that eliminated... View Details
- November 2024
- Case
Polish Agro: Where Do We Grow from Here?
By: Willy C. Shih, Lena Duchene and Daniela Beyersdorfer
By July 2024, Polish Agro had grown into one of Poland’s fastest-growing agribusinesses, with €230 million in revenue, 82 employees, and operations across Northern Poland. The company supported farmers with essential agricultural inputs like fertilizers and seeds,... View Details
Keywords: Plant-Based Agribusiness; Distribution; Volatility; Customer Focus and Relationships; Customer Value and Value Chain; Climate Change; Environmental Regulation; Profit; Trade; Digital Strategy; Innovation Strategy; Crisis Management; Growth and Development Strategy; Resource Allocation; Advertising; Brands and Branding; E-commerce; Business and Community Relations; Networks; Adaptation; Adoption; Competitive Advantage; Business Model; Health Pandemics; War; Agriculture and Agribusiness Industry; Europe; Poland
- 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 Finance; Climate Change; Technological Innovation; Entrepreneurship; Venture Capital; Private Equity; Environmental Sustainability; Business Startups
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.
- November–December 2024
- Article
Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
By: Kirk Bansak and Elisabeth Paulson
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details
Bansak, Kirk, and Elisabeth Paulson. "Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing." Operations Research 72, no. 6 (November–December 2024): 2375–2390.
- 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 November 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
Keywords: Communication Technology; Environmental Sustainability; Green Technology; Finance; Capital; Venture Capital; Private Equity; Investment; Investment Funds; Science-Based Business; Financial Services Industry; France; Paris; Italy
Gandhi, Vikram S., and David Allen. "SWEN Blue Ocean: Impact Investing Goes to Sea." Harvard Business School Case 325-013, October 2024. (Revised November 2024.)
- October 2024
- Course Overview Note
Risks, Opportunities, and Investments in the Era of Climate Change (ROICC)
By: George Serafeim
This course overview note introduces the course Risks, Opportunities, and Investments in the Era of Climate Change to students. View Details
Keywords: Environment; Innovation; Technology; General Management; Organizational Transformations; Investments; Entrepreneurship; Strategy; Finance; Accounting; Leadership; Climate Change; Environmental Sustainability; Management
Serafeim, George. "Risks, Opportunities, and Investments in the Era of Climate Change (ROICC)." Harvard Business School Course Overview Note 125-052, October 2024.
- 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.