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      • 2024
      • Working Paper

      The New Digital Divide

      By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
      We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
      Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
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      Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.
      • 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
      Keywords: Information; Analytics and Data Science; Analysis; Decision Making
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      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 (Gen-AI) transform the role of the CEO? This study investigates whether Gen-AI can mimic a human CEO and whether employees display aversion to Gen-AI communication. We present a framework of Gen-AI aversion that distinguishes... View Details
      Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication
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      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. (Revised May 2025.)
      • 2024
      • Case

      EPCorp: What Story Does the Data Tell?

      By: Jacob M. Cook
      In EPCorp: What Story Does the Data Tell?, the Quick Case begins with Shivani Bahl researching problems with her company's website so that she can begin to analyze which option would help EPCorp most: selling all its products on Amazon or improving its own data... View Details
      Keywords: Distribution Channels; E-commerce; Analytics and Data Science; Decision Making
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      Cook, Jacob M. "EPCorp: What Story Does the Data Tell?" Harvard Business Publishing Case, 2024.
      • August 2024 (Revised March 2025)
      • 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
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      Zhu, Feng, Harold Zhu, and Adina Wong. "DBS' AI Journey." Harvard Business School Case 625-053, August 2024. (Revised March 2025.)
      • August 2024
      • Background Note

      Mitigating Climate Change with Machine Learning

      By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney
      This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details
      Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention
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      Toffel, Michael W., Kelsey Carter, Amy Chambers, Avery Park, and Susan Pinckney. "Mitigating Climate Change with Machine Learning." Harvard Business School Background Note 625-014, August 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.
      • August 13, 2024
      • Editorial

      Can AI Save Physicians from Burnout?

      By: Susanna Gallani, Lidia Moura and Katie Sonnefeldt
      Keywords: Well-being; AI and Machine Learning; Work-Life Balance; Health Industry
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      Gallani, Susanna, Lidia Moura, and Katie Sonnefeldt. "Can AI Save Physicians from Burnout?" Harvard Business School Working Knowledge (August 13, 2024).
      • August 2024
      • Background Note

      A Brief Note on U.S. Presidential Transitions

      By: Robert F. White
      This note provides background information on the U.S. presidential transition process, including the history of presidential transitions, the modern transition process, and the responsibilities of the executive branch. It includes a brief overview of the primary laws... View Details
      Keywords: Transition; Government Administration; Selection and Staffing; Political Elections; Laws and Statutes; Public Administration Industry; United States
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      White, Robert F. "A Brief Note on U.S. Presidential Transitions." Harvard Business School Background Note 825-062, August 2024.
      • August 2024 (Revised November 2024)
      • Case

      Mercado Bitcoin: M&A, IPO, or Series B?

      By: Raymond Kluender, Emanuele Colonnelli, Sabrina T. Howell and Karina Souza
      In April 2021, Brazilian cryptocurrency platform Mercado Bitcoin had to decide how to scale: go public, M&A with a bank, or take a VC big check. In a highly volatile market, Roberto Dagnoni, chairman of the board, viewed the unprecedent crypto momentum as a window of... View Details
      Keywords: Cryptocurrency; Mergers and Acquisitions; Business Growth and Maturation; Business Startups; Decision Making; Going Public; Ownership Stake; Strategic Planning; Venture Capital; Problems and Challenges; Business Cycles; Digital Platforms; Emerging Markets; Market Timing; Expansion; Diversification; Valuation; Value Creation; Investment Funds; Initial Public Offering; Price; Price Bubble; Negotiation Offer; Financial Liquidity; Information Technology Industry; Information Technology Industry; Latin America; South America; Brazil; Sao Paulo; United States
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      Kluender, Raymond, Emanuele Colonnelli, Sabrina T. Howell, and Karina Souza. "Mercado Bitcoin: M&A, IPO, or Series B?" Harvard Business School Case 825-047, August 2024. (Revised November 2024.)
      • July–August 2024
      • Article

      Navigating the Future of Online Advertising with WEB3

      By: Frank V. Cespedes and Ben Plomion
      or years, digital ad spend was a steadily growing portion of marketing budgets. But online advertising faces challenges that mean a transformative shift in digital marketing. Meanwhile, so-called “Web3” has emerged as a medium that can change ad spend and how personal... View Details
      Keywords: Internet and the Web; Advertising; Digital Marketing
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      Cespedes, Frank V., and Ben Plomion. "Navigating the Future of Online Advertising with WEB3." European Business Review (July–August 2024).
      • 2025
      • Working Paper

      Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

      By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
      Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details
      Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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      Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)
      • 2024
      • Book

      Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

      By: Karen G. Mills
      The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details
      Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science
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      Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. 2nd Edition, NY: Palgrave Macmillan, 2024.
      • August 2024
      • Article

      Heuristics on Call: The Impact of Mobile-Phone-Based Business-Management Advice

      By: Shawn Cole, Mukta Joshi and Antoinette Schoar
      There is growing evidence that business training for micro-entrepreneurs can be effective. However, in-person training can be expensive and imposes costs on the target beneficiaries. This paper presents the results of a two-site randomized evaluation of a light-touch,... View Details
      Keywords: Training; Entrepreneurship; Mobile and Wireless Technology; India; Philippines
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      Cole, Shawn, Mukta Joshi, and Antoinette Schoar. "Heuristics on Call: The Impact of Mobile-Phone-Based Business-Management Advice." World Bank Economic Review 38, no. 3 (August 2024): 580–597.
      • 2024
      • Working Paper

      Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous

      By: Nathan Dhaliwal, Jillian J. Jordan and Pat Barclay
      What do people think of victims who conceal their victimhood? We propose that the decision to not broadcast that one has been victimized serves as a costly act of modesty—in doing so, one is potentially forgoing social support and compensation from one’s community. We... View Details
      Keywords: Public Opinion; Mathematical Methods; Communication; Perception; Reputation
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      Dhaliwal, Nathan, Jillian J. Jordan, and Pat Barclay. "Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous." Working Paper, August 2024.
      • 2024
      • Article

      Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

      By: Michael Lingzhi Li and Kosuke Imai
      A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
      Keywords: AI and Machine Learning; Research
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      Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
      • August 2024
      • Article

      Partisans neither Expect nor Receive Reputational Rewards for Sharing Falsehoods over Truth Online.

      By: Isaias Ghezae, Jillian J. Jordan, Izzy Gainsburg, Mohsen Mosleh, Gordon Pennycook, Robb Willer and David Rand
      A frequently invoked explanation for the sharing of false over true political information is that partisans are motivated by their reputations. In particular, it is often argued that by indiscriminately sharing news that is favorable to one’s political party,... View Details
      Keywords: Political Ideology; Reputation; Communication Intention and Meaning; Social Media; News
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      Ghezae, Isaias, Jillian J. Jordan, Izzy Gainsburg, Mohsen Mosleh, Gordon Pennycook, Robb Willer, and David Rand. "Partisans neither Expect nor Receive Reputational Rewards for Sharing Falsehoods over Truth Online." PNAS Nexus 3, no. 8 (August 2024).
      • August 20, 2024
      • Article

      Sexual Assault Victims Face a Penalty for Adjacent Consent

      By: Jillian J. Jordan and Roseanna Sommers
      Across 11 experimental studies (n = 12,257), we show that female victims of sexual assault are blamed more and seen as less morally virtuous if their assault follows voluntary sexual intimacy, a factor we term “adjacent consent”. Moreover, we illuminate a... View Details
      Keywords: Perception; Prejudice and Bias; Moral Sensibility; Crime and Corruption; Social Issues
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      Jordan, Jillian J., and Roseanna Sommers. "Sexual Assault Victims Face a Penalty for Adjacent Consent." Proceedings of the National Academy of Sciences 121, no. 34 (August 20, 2024).
      • July 2024
      • Technical Note

      Introduction to SQL in Python

      By: Michael Parzen and Jo Ellery
      This note walks through the basics of SQL and how to use this language in Python via the SQLite package. View Details
      Keywords: Analytics and Data Science
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      Parzen, Michael, and Jo Ellery. "Introduction to SQL in Python." Harvard Business School Technical Note 625-024, July 2024.
      • July 2024
      • Technical Note

      Version Control and Web Deployment

      By: Michael Parzen and Jo Ellery
      This note introduces version control using Git and GitHub, with an example covering how to make simple web applications. View Details
      Keywords: Applications and Software
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      Parzen, Michael, and Jo Ellery. "Version Control and Web Deployment." Harvard Business School Technical Note 625-018, July 2024.
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