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      • December 18, 2024
      • Article

      Is AI the Right Tool to Solve That Problem?

      By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne
      While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details
      Keywords: Artificial Intelligence; AI and Machine Learning; Problems and Challenges
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      Cervini, Paolo, Chiara Farronato, Pushmeet Kohli, and Marshall W Van Alstyne. "Is AI the Right Tool to Solve That Problem?" Harvard Business Review (website) (December 18, 2024).
      • December 5, 2024
      • Article

      A Consensus Definition of Creativity in Surgery: A Delphi Study Protocol

      By: Alex Thabane, Tyler McKechnie, Phillip Staibano, Vikram Arora, Goran Calic, Jason W. Busse, Sameer Parpia and Mohit Bhandari
      Introduction
      Clear definitions are essential in science, particularly in the study of abstract phenomena like creativity. Due to its inherent complexity and domain-specific nature, the study of creativity has been complicated, as evidenced by the various... View Details
      Keywords: Creativity; Health Care and Treatment; Outcome or Result; Measurement and Metrics
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      Thabane, Alex, Tyler McKechnie, Phillip Staibano, Vikram Arora, Goran Calic, Jason W. Busse, Sameer Parpia, and Mohit Bhandari. "A Consensus Definition of Creativity in Surgery: A Delphi Study Protocol." PLoS ONE 19, no. 12 (December 5, 2024).
      • December 2024
      • Case

      Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey

      By: Shikhar Ghosh
      In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
      Keywords: Blue Cross; Automation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Organizational Transformations; Technology; Non-profit; AI and Machine Learning; Health; Digital Strategy; Digital Transformation; Leadership; Technology Adoption; Job Cuts and Outsourcing; Innovation Strategy; Health Industry; Insurance Industry; Michigan
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      Ghosh, Shikhar. "Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey." Harvard Business School Case 825-082, December 2024.
      • 2024
      • Working Paper

      Priceless: How to Create, Trade, and Protect What Matters Most

      By: Debora L. Spar
      This article explores the concept of the "sacred economy," a realm of human interactions and exchanges that transcends traditional market dynamics. It illustrates the emotional and relational aspects of human connections that cannot be quantified or traded like... View Details
      Keywords: Valuation; Relationships; Human Needs; Goods and Commodities
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      Spar, Debora L. "Priceless: How to Create, Trade, and Protect What Matters Most." Harvard Business School Working Paper, No. 25-028, November 2024.
      • November 2024 (Revised April 2025)
      • Case

      Cheerful Music

      By: Shunyuan Zhang, Feng Zhu and Nancy Hua Dai
      Established by Snow Jiang in 2019 in Shenzhen, China, Cheerful Music was a record label company that had created many hit songs in China. “Yi Xiao Jiang Hu,” its most famous hit song, gained billions of views on social media platforms in China and overseas as the... View Details
      Keywords: Generative Ai; Music Entertainment; Global Strategy; Business Model; AI and Machine Learning; Market Entry and Exit; Music Industry; China; United Kingdom; London
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      Zhang, Shunyuan, Feng Zhu, and Nancy Hua Dai. "Cheerful Music." Harvard Business School Case 525-031, November 2024. (Revised April 2025.)
      • November 2024 (Revised January 2025)
      • Case

      Balancing Impact: Modeling the Future at British International Investment

      By: Shawn Cole and Jonah Zahnd
      In 2022, British International Investment (BII), the £8.1 billion development finance arm of the British government, implemented a new impact measurement system called the Impact Score to align its financial and impact objectives systematically. The tool was designed... View Details
      Keywords: Investment Portfolio; Measurement and Metrics; Corporate Social Responsibility and Impact; Alignment; United Kingdom
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      Cole, Shawn, and Jonah Zahnd. "Balancing Impact: Modeling the Future at British International Investment." Harvard Business School Case 225-047, November 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      Advice and the Bayesian Entrepreneur

      By: Susan Cohen and Rembrand Koning
      Bayesian entrepreneurship starts from the premise that entrepreneurs’ beliefs guide their theorizing, experimentation, and choices (Agrawal et al., n.d.). Since each entrepreneur has unique beliefs based on their own set of past experiences, cognitive ability, and... View Details
      Keywords: Entrepreneurship; Decision Choices and Conditions
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      Cohen, Susan, and Rembrand Koning. "Advice and the Bayesian Entrepreneur." Harvard Business School Working Paper, No. 25-029, November 2024.
      • November–December 2024
      • Article

      Retire Without Regrets

      By: Teresa M. Amabile, Lotte Bailyn, Marcy Crary, Douglas T. "Tim" Hall and Kathy E. Kram
      This article explores the significant transition of retirement and offers insights into creating a satisfying postcareer life. It highlights the contrasting experiences of Irene and Lawrence, two retirees who navigated this change differently. Irene embraced retirement... View Details
      Keywords: Retirement; Satisfaction; Transition; Identity
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      Amabile, Teresa M., Lotte Bailyn, Marcy Crary, Douglas T. "Tim" Hall, and Kathy E. Kram. "Retire Without Regrets." Harvard Business Review 102, no. 6 (November–December 2024): 143–147.
      • November 5, 2024
      • Article

      The International Empirics of Management

      By: Daniela Scur, Scott Ohlmacher, John Van Reenen, Morten Bennedsen, Nick Bloom, Ali Choudhary, Lucia Foster, Jesse Groenewegen, Arti Grover, Sjoerd Hardeman, Leonardo Iacovone, Ryo Kambayashi, Marie-Christine Laible, Renata Lemos, Hongbin Li, Andrea Linarello, Mika Maliranta, Denis Medvedev, Charlotte Meng, John Miles Touya, Natalia Mandirola, Roope Ohlsbom, Atsushi Ohyama, Megha Patnaik, Mariana Pereira-López, Raffaella Sadun, Tatsuro Senga, Franklin Qian and Florian Zimmermann
      A country’s national income broadly depends on the quantity and quality of workers and capital. But how well these factors are managed within and between firms may be a key determinant of a country’s productivity and its GDP. Although social scientists have long... View Details
      Keywords: Performance Productivity; Economy; Management Practices and Processes
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      Scur, Daniela, Scott Ohlmacher, John Van Reenen, Morten Bennedsen, Nick Bloom, Ali Choudhary, Lucia Foster, Jesse Groenewegen, Arti Grover, Sjoerd Hardeman, Leonardo Iacovone, Ryo Kambayashi, Marie-Christine Laible, Renata Lemos, Hongbin Li, Andrea Linarello, Mika Maliranta, Denis Medvedev, Charlotte Meng, John Miles Touya, Natalia Mandirola, Roope Ohlsbom, Atsushi Ohyama, Megha Patnaik, Mariana Pereira-López, Raffaella Sadun, Tatsuro Senga, Franklin Qian, and Florian Zimmermann. "The International Empirics of Management." Proceedings of the National Academy of Sciences 121, no. 45 (November 5, 2024).
      • 2025
      • 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 a 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
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      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. (Revised April 2025.)
      • October 2024
      • Technical Note

      Prompt Engineering

      By: Michael Parzen and Jo Ellery
      This note covers the basics of prompt engineering, a key tool for making use of modern generative AI. We discuss the principles of prompt engineering and illustrate these principles with techniques for asking questions. We further list the types of prompts that can be... View Details
      Keywords: Large Language Model; AI and Machine Learning
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      Parzen, Michael, and Jo Ellery. "Prompt Engineering." Harvard Business School Technical Note 625-056, October 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
      Keywords: AI and Machine Learning; Refugees; Employment
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      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).
      • August 2024
      • Technical Note

      Introduction to Data Analysis in Python

      By: Michael Parzen and Jo Ellery
      This note introduces Python as a tool for data science, including the Pandas library for data analysis. View Details
      Keywords: Analytics and Data Science
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      Parzen, Michael, and Jo Ellery. "Introduction to Data Analysis in Python." Harvard Business School Technical Note 625-016, August 2024.
      • July 2024
      • Article

      AI, ROI, and Sales Productivity

      By: Frank V. Cespedes
      Artificial intelligence (AI) is now a loose term for many different things and at the peak of its hype curve. So managers hitch-their-pitch to the term in arguing for resources. But like any technology, its business value depends upon actionable use cases embraced by... View Details
      Keywords: ROI; AI and Machine Learning; Sales; Investment Return
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      Cespedes, Frank V. "AI, ROI, and Sales Productivity." Top Sales Magazine (July 2024), 12–13.
      • July–August 2024
      • Article

      Disclosing Downstream Emissions

      By: Robert S. Kaplan and Karthik Ramanna
      An increasing number of companies are using the E-liability carbon-accounting method as an important tool for tracking progress toward reducing global emissions in their supply chains. The system does not require formal accounting for downstream emissions—those... View Details
      Keywords: Carbon Emissions; Environmental Accounting; Corporate Accountability; Corporate Social Responsibility and Impact; Corporate Disclosure; Environmental Sustainability
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      Kaplan, Robert S., and Karthik Ramanna. "Disclosing Downstream Emissions." Harvard Business Review 102, no. 4 (July–August 2024): 124–133.
      • 2024
      • Working Paper

      Webmunk: A New Tool for Studying Online Behavior and Digital Platforms

      By: Chiara Farronato, Andrey Fradkin and Chris Karr
      Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
      Keywords: Policy; Technology Adoption; Behavior; Research; Consumer Behavior; Internet and the Web
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      Farronato, Chiara, Andrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
      • June 2024
      • Simulation

      Vehicle Lifecycle Emissions Calculator

      By: Mike Toffel, Shirley Lu and George Serafeim
      This Vehicle Lifecycle Emissions Calculator calculates the greenhouse gas emissions over the lifespan of internal combustion engine (ICEs) vehicles, battery electric vehicles (BEVs), and plug-in hybrid electric vehicles (PHEV), including those associated with their... View Details
      Keywords: Decarbonization; Environment; Carbon Accounting; Carbon; Carbon Abatement; Electric Vehicles; Automobiles; Environmental Accounting; Environmental Management; Environmental Sustainability; Strategy; Technological Innovation; Supply Chain; Business and Stakeholder Relations; Climate Change; Transportation; Transportation Industry; Auto Industry; Battery Industry
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      Toffel, Mike, Shirley Lu, and George Serafeim. "Vehicle Lifecycle Emissions Calculator." Harvard Business School Simulation 124-721, June 2024.
      • June 2024 (Revised December 2024)
      • Case

      Lana Ghanem: Pushing the Boundaries of Health Care Through Venture Capital

      By: Joshua D. Margolis and Ahmed Dahawy
      Lana Ghanem, managing director of Hikma Ventures, the corporate venture arm of larger pharmaceutical group Hikma, is considering how to grow the venture arm as well as progress her own career. Over the past few years Hikma's executive team had been pressuring the... View Details
      Keywords: Business Divisions; Corporate Entrepreneurship; Investment; Corporate Governance; Health Care and Treatment; Leadership Development; Business or Company Management; Growth and Development Strategy; Business Strategy; Venture Capital; Personal Development and Career; Health Industry; Pharmaceutical Industry; Jordan
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      Margolis, Joshua D., and Ahmed Dahawy. "Lana Ghanem: Pushing the Boundaries of Health Care Through Venture Capital." Harvard Business School Case 424-075, June 2024. (Revised December 2024.)
      • 2024
      • Working Paper

      Advancing Personalization: How to Experiment, Learn & Optimize

      By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
      Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
      Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
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      Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
      • 2024
      • Case

      EPCorp: Sell on Amazon or Invest in Our Data?

      By: Jacob M. Cook
      Amidst a history of exponential growth, Electronic Products Company (EPCorp) finds itself at a crossroads as its once thriving retail presence faces a downturn, despite hefty investments into a promising new direct-to-consumer e-commerce platform. Shivani, EPCorp s... View Details
      Keywords: E-commerce; Technology Adoption; Cost vs Benefits; Organizational Culture; Retail Industry
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      Cook, Jacob M. "EPCorp: Sell on Amazon or Invest in Our Data?" Harvard Business Publishing Case, 2024. (Quick Case.)
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