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      • March 2024 (Revised November 2024)
      • Case

      Kawasaki Heavy Industries Bets on Clean Hydrogen

      By: Gunnar Trumbull, Nobuo Sato and Akiko Kanno
      Kawasaki Heavy Industries (KHI), an engineering manufacturer headquartered in Japan, was aiming to scale up its hydrogen production and establish a global hydrogen supply chain. The initiative was in line with Japan's energy strategy, as the country seeks to transition... View Details
      Keywords: Renewable Energy; Demand and Consumers; Competition; Growth and Development Strategy; Infrastructure; Supply Chain; Manufacturing Industry; Energy Industry
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      Trumbull, Gunnar, Nobuo Sato, and Akiko Kanno. "Kawasaki Heavy Industries Bets on Clean Hydrogen." Harvard Business School Case 724-035, March 2024. (Revised November 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
      Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods
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      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.
      • March 2024 (Revised August 2024)
      • Case

      Darktrace: Scaling Cybersecurity and AI (A)

      By: Jeffrey F. Rayport and Alexis Lefort
      In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details
      Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States
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      Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (A)." Harvard Business School Case 824-092, March 2024. (Revised August 2024.)
      • Working Paper

      Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

      By: Flora Feng, Charis Li and Shunyuan Zhang
      Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details
      Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing
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      Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
      • 2024
      • Report

      The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy

      By: Suraj Srinivasan, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat and Vaishnavee Ananth
      Since the proliferation of smartphones and social media in the late 2000s, digital has captured an increasingly large portion of the economy. In this Capgemini Research Institute report, The Eco-Digital EraTM: The dual transition to a sustainable and... View Details
      Keywords: Technology Adoption; Digital Transformation; Environmental Sustainability; Trends
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      Srinivasan, Suraj, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat, and Vaishnavee Ananth. "The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy." Report, Capgemini Research Institute, January 2024.
      • December 2023 (Revised February 2024)
      • Case

      Transforming Healthcare Delivery at Karolinska University Hospital

      By: Susanna Gallani, Mary Witkowski, Elena Corsi and Nikolina Jonsson
      The case study examines the journey toward value-based healthcare at Karolinska University Hospital. The hospital's ambitious shift to a patient-centered care delivery model, accompanied by the construction of a new facility, encountered challenges such as high costs,... View Details
      Keywords: Change Management; Transformation; Transition; Business Organization; Communication Strategy; Information Infrastructure; Service Delivery; Organizational Change and Adaptation; Organizational Structure; Health Industry; Sweden; Europe
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      Gallani, Susanna, Mary Witkowski, Elena Corsi, and Nikolina Jonsson. "Transforming Healthcare Delivery at Karolinska University Hospital." Harvard Business School Case 124-070, December 2023. (Revised February 2024.)
      • 2025
      • Working Paper

      Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

      By: Ta-Wei Huang and Eva Ascarza
      As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
      Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
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      Huang, Ta-Wei, and Eva Ascarza. "Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach." Harvard Business School Working Paper, No. 24-034, December 2023. (Revised March 2025.)
      • 2023
      • Article

      Balancing Risk and Reward: An Automated Phased Release Strategy

      By: Yufan Li, Jialiang Mao and Iavor Bojinov
      Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
      Keywords: Product Launch; Mathematical Methods; Product Development
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      Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • 2023
      • Article

      MoPe: Model Perturbation-based Privacy Attacks on Language Models

      By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
      Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
      Keywords: Large Language Model; AI and Machine Learning; Cybersecurity
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      Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
      • 2023
      • Article

      Post Hoc Explanations of Language Models Can Improve Language Models

      By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
      Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
      Keywords: AI and Machine Learning; Performance Effectiveness
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      Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • 2024
      • Working Paper

      The Uneven Impact of Generative AI on Entrepreneurial Performance

      By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
      Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
      Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
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      Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
      • December 2023
      • Article

      When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments

      By: Christian Kaps, Simone Marinesi and Serguei Netessine
      Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details
      Keywords: Energy; Renewable Energy
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      Kaps, Christian, Simone Marinesi, and Serguei Netessine. "When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments." Management Science 69, no. 12 (December 2023): 7633–7650.
      • November–December 2023
      • Article

      Keep Your AI Projects on Track

      By: Iavor Bojinov
      AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details
      Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
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      Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
      • October 2023 (Revised May 2024)
      • Case

      JSW Steel: Balancing Growth While Decarbonizing

      By: Vikram S Gandhi and Radhika Kak
      Sajjan Jindal, Chairman & Managing Director of JSW Steel, India's largest steel producer by market capitalization, was facing a dilemma. Steel demand in India was expected to grow exponentially over the next decade. However, given its traditional reliance on carbon,... View Details
      Keywords: Decisions; Environmental Sustainability; Investment; Governing Rules, Regulations, and Reforms; Growth and Development; Corporate Social Responsibility and Impact; Pollutants; Pollution; Production; Steel Industry; India
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      Gandhi, Vikram S., and Radhika Kak. "JSW Steel: Balancing Growth While Decarbonizing." Harvard Business School Case 824-002, October 2023. (Revised May 2024.)
      • September 2023
      • Article

      Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology

      By: Prithwiraj Choudhury, Ina Ganguli and Patrick Gaulé
      We study migration in the right tail of the talent distribution using a novel dataset of Indian high school students taking the Joint Entrance Exam (JEE), a college entrance exam used for admission to the prestigious Indian Institutes of Technology (IIT). We find a... View Details
      Keywords: Higher Education; Immigration; Talent and Talent Management; India
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      Choudhury, Prithwiraj, Ina Ganguli, and Patrick Gaulé. "Top Talent, Elite Colleges, and Migration: Evidence from the Indian Institutes of Technology." Art. 103120. Journal of Development Economics 164 (September 2023).
      • July 2023 (Revised May 2024)
      • Case

      India Stack: Digital Public Infrastructure for All

      By: Tarun Khanna, Anjali Raina and Rachna Chawla
      Amitabh Kant, India Sherpa in the year of India's G20 Presidency, and Nandan Nilekani iconic tech entrepreneur wondered how to share India's model of digital public infrastructure to build social and economic inclusion. 'India Stack', the umbrella term for India's DPI... View Details
      Keywords: Digital Transformation; Information Technology; Technology Adoption; Developing Countries and Economies; Economic Growth; Information Technology Industry; Information Technology Industry; Information Technology Industry; Asia; South Asia; India
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      Khanna, Tarun, Anjali Raina, and Rachna Chawla. "India Stack: Digital Public Infrastructure for All." Harvard Business School Case 724-371, July 2023. (Revised May 2024.)
      • June 12, 2023
      • Article

      How AI Will Accelerate the Circular Economy

      By: Shirley Lu and George Serafeim
      Despite living on a planet with finite resources, our economy remains largely linear and full of single-use products. The shift toward a circular economy, where companies recover or recycle resources, has hit roadblocks, including low value of used products and high... View Details
      Keywords: Recycling; Materials Management; Innovation and Management; Technological Innovation; Climate Change; Environmental Sustainability; AI and Machine Learning; Operations; Technology Industry; Technology Industry; Technology Industry
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      Lu, Shirley, and George Serafeim. "How AI Will Accelerate the Circular Economy." Harvard Business Review Digital Articles (June 12, 2023).
      • March 2023
      • Supplement

      Allianz Türkiye (C): Managing the 2017 Hail Storm

      By: John D. Macomber and Fares Khrais
      Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe... View Details
      Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
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      Macomber, John D., and Fares Khrais. "Allianz Türkiye (C): Managing the 2017 Hail Storm." Harvard Business School Supplement 223-084, March 2023.
      • March 2023 (Revised April 2024)
      • Case

      Allianz Türkiye: Adapting to Climate Change

      By: John D. Macomber and Fares Khrais
      Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe... View Details
      Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
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      Macomber, John D., and Fares Khrais. "Allianz Türkiye: Adapting to Climate Change." Harvard Business School Case 223-074, March 2023. (Revised April 2024.)
      • March 2023 (Revised June 2023)
      • Case

      Doing Business in Kigali, Rwanda

      By: Andy Zelleke, A. Zelleke, Leonard A. Schlesinger, Leonard A. Schlesinger, Pippa Tubman Armerding and Wale Lawal
      This case examines the challenges and opportunities of doing business in Rwanda. It highlights Rwanda's economic transformation in the decades leading up to 2023 in the context of its history, culture, and politics. The case gives an overview of some of the main... View Details
      Keywords: Business History; Business and Government Relations; Technological Innovation; Foreign Direct Investment; Economic Growth; Transportation Industry; Tourism Industry; Rwanda
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      Zelleke, Andy, Leonard A. Schlesinger, Pippa Tubman Armerding, and Wale Lawal. "Doing Business in Kigali, Rwanda." Harvard Business School Case 323-089, March 2023. (Revised June 2023.)
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