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Publications

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  • All HBS Web  (2,041)
    • News  (420)
    • Research  (1,324)
    • Events  (25)
    • Multimedia  (3)
  • Faculty Publications  (452)

Show Results For

  • All HBS Web  (2,041)
    • News  (420)
    • Research  (1,324)
    • Events  (25)
    • Multimedia  (3)
  • Faculty Publications  (452)
← Page 4 of 2,041 Results →

    Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business

    When Google bought Nest, a maker of digital thermostats, for $3.2 billion just a few months ago, it was a clear indication that digital transformation and connection are spreading across even the most traditional industrial segments and creating a staggering array... View Details

    • 21 Aug 2017
    • Lessons from the Classroom

    Companies Love Big Data But Lack the Strategy To Use It Effectively

    design. Deighton discussed how new sources of data starting to be generated by the Internet of Things will impact the advertising-based hegemony of Google, Amazon, and Facebook. “The best picture we have... View Details
    Keywords: by Dina Gerdeman

      A New Analysis of Differential Privacy’s Generalization Guarantees

      We give a new proof of the “transfer theorem” underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
      • 12 Apr 2022
      • Research & Ideas

      Swiping Right: How Data Helped This Online Dating Site Make More Matches

      marriages began with online dates. “[Online dating platforms] are an extremely interesting application of the general question of influence and digital interactions,” he says, with lessons that can apply to other online engagement... View Details
      Keywords: by Kara Baskin
      • 15 Nov 2016
      • News

      Cultivating the Next Generation of Thought Leaders

      two reasons for management failures to heed shareholder proposals for greater action on ESG issues: processes within the organization may not be sufficiently developed, and performance incentives may be misaligned. “I went back to the View Details
      • Web

      Data Tips & Toolkits - Research Computing Services

      Data Practices Data Tips & Toolkits 2ms Causal Inference R Packages causalTree, CausalImpact, Counterfactual, BayesTree, rrd, FindIt, causaldrf, uplift, Synth, matchIt, pcalg, wfe, matching, med ex, BCEE,... View Details
      • 2023
      • Book

      Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow

      By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
      This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
      Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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      Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
      • Fast Answer

      Government data and information sources for public entrepreneurship

      Services (GIS). SimplyAnalytics generates tables and maps for the United States including population, age, race, income, employment, and education. Our subscription also allows access to Experian... View Details
      • 01 Jun 2024
      • News

      Decoding the Promise and Perils of Generative AI

      of dollars and take weeks or months to implement, each of our studies ran in a matter of minutes or hours and the total cost to generate all the data in the paper was under $100,” they wrote. Hima Lakkaraju... View Details
      Keywords: April White
      • May–June 2020
      • Article

      The Agenda for the Next Generation of Health Care Information Technology

      By: Thomas W. Feeley, Zachary Landman and Michael E. Porter
      As the diffusion of value-based health care efforts accelerates globally, the need for interoperable information technology systems that support value-based care is essential. Such systems are needed to facilitate dramatic improvements in patient outcomes and... View Details
      Keywords: Value-based Health Care; Health Care and Treatment; Information Technology; Integration; Performance Improvement; Performance Efficiency
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      Feeley, Thomas W., Zachary Landman, and Michael E. Porter. "The Agenda for the Next Generation of Health Care Information Technology." NEJM Catalyst Innovations in Care Delivery 1, no. 3 (May–June 2020).
      • Article

      Advancing Digital Health Applications: Priorities for Innovation in Real-World Evidence Generation

      By: Ariel Dora Stern, Jan Brönneke, Jörg F Debatin, Julia Hagen, Henrik Matthies, Smit Patel, Ieuan Clay, Bjoern Eskofier, Annika Herr, Kurt Hoeller, Ashley Jaksa, Daniel B Kramer, Mattias Kyhlstedt, Katherine T Lofgren, Nirosha Mahendraratnam, Holger Muehlan, Simon Reif, Lars Riedemann and Jennifer C Goldsack
      In 2019, Germany passed the Digital Healthcare Act, which, among other things, created a “Fast-Track” regulatory and reimbursement pathway for digital health applications in the German market. The pathway explicitly provides for flexibility in how researchers can... View Details
      Keywords: Digital Health; Health Care and Treatment; Technological Innovation
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      Stern, Ariel Dora, Jan Brönneke, Jörg F Debatin, Julia Hagen, Henrik Matthies, Smit Patel, Ieuan Clay, Bjoern Eskofier, Annika Herr, Kurt Hoeller, Ashley Jaksa, Daniel B Kramer, Mattias Kyhlstedt, Katherine T Lofgren, Nirosha Mahendraratnam, Holger Muehlan, Simon Reif, Lars Riedemann, and Jennifer C Goldsack. "Advancing Digital Health Applications: Priorities for Innovation in Real-World Evidence Generation." Lancet Digital Health 4, no. 3 (March 2022): e200–e206.
      • Fast Answer

      Finding a Time Series of Financial Data in Compustat

      How do I find time series of financial data using Compustat in WRDS? You can search for financial data using Compustat in View Details
      • 02 Apr 2015
      • Research & Ideas

      Digital Initiative Summit: Freeing Patient Data to Enable Innovation

      Patients are not actually the customers in the United States health care system, a fact largely to blame for the dearth of communication and data sharing between providers, according to experts at a recent Harvard Business School... View Details
      Keywords: Re: Karim R. Lakhani; Health
      • July 2021
      • Article

      Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time

      By: Sam Ransbotham, Eric Overby and Michael C. Jernigan
      Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events... View Details
      Keywords: Analytics and Data Science; Lawsuits and Litigation; Digital Transformation; Welfare; Health Industry
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      Ransbotham, Sam, Eric Overby, and Michael C. Jernigan. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time." Management Science 67, no. 7 (July 2021): 4341–4361.

        Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time

        Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for... View Details

        • June 2025
        • Case

        Scale AI Scales Up

        By: Boris Groysberg and Sarah L. Abbott
        Scale AI, the data labeling and AI infrastructure company, had grown rapidly since it was founded in 2016; however, as Scale’s generative AI business was taking off, Alexandr Wang, Scale’s founder and CEO, became concerned that Scale was slowing down. Wang and the... View Details
        Keywords: Technology And Innovation Management; Entrepreneur; Managing Growth; Hiring; Generative Ai; Data Labeling; Scale; AI and Machine Learning; Entrepreneurship; Talent and Talent Management; Growth Management; Leadership; Organizational Culture; Business Startups; Selection and Staffing; Technology Industry; United States
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        Groysberg, Boris, and Sarah L. Abbott. "Scale AI Scales Up." Harvard Business School Case 425-082, June 2025.
        • 22 Feb 2024
        • Research & Ideas

        How to Make AI 'Forget' All the Private Data It Shouldn't Have

        Europe’s tougher data privacy regulations went into effect in 2018, they have created complications for companies worldwide. Questions around data privacy will likely become thornier as View Details
        Keywords: by Rachel Layne; Technology; Information Technology
        • August 2017 (Revised August 2018)
        • Case

        The Oakland Athletics: Strategy & Metrics for a Budget

        By: Srikant M. Datar and Caitlin N. Bowler
        This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details
        Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry
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        Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
        • Web

        GDPR & Other Data Privacy Laws | Information Technology

        information. The most notable is the European Union's General Data Protection Regulation (GDPR), but other countries are adopting similar resolutions. From Harvard's GDPR Resource Website : The View Details
        • 2025
        • Working Paper

        When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation

        By: Vishrut Rana, Christian Kaps and Serguei Netessine
        Problem definition: Investments in renewable energy have surged worldwide in recent years, with over $2 trillion spent globally on clean energy. This surge was driven by growing policy support, concerns about energy security, and, most importantly, the cost... View Details
        Keywords: Wind Power; Electricity Distribution; Renewable Energy; Profit; Investment Return; Factories, Labs, and Plants; Geographic Location; Revenue; Energy Industry; Utilities Industry
        Citation
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        Rana, Vishrut, Christian Kaps, and Serguei Netessine. "When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation." Working Paper, January 2025.
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