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  • All HBS Web  (1,037)
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    • News  (187)
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Show Results For

  • All HBS Web  (1,037)
    • People  (1)
    • News  (187)
    • Research  (673)
    • Events  (13)
    • Multimedia  (3)
  • Faculty Publications  (550)
← Page 10 of 1,037 Results →
  • 12 May 2022
  • News

Why Digital Is a State of Mind, Not Just a Skill Set

    Shunyuan Zhang

    Shunyuan Zhang is an associate professor in the Marketing unit at Harvard Business School. She teaches the first-year Marketing course in the MBA required curriculum.

    Professor Zhang studies the sharing economy and the marketing problems that... View Details

    Keywords: e-commerce industry; high technology; retailing
    • 05 Oct 2015
    • Working Paper Summaries

    Online Network Revenue Management Using Thompson Sampling

    Keywords: by Kris Johnson Ferreira, David Simchi-Levi & He Wang; Retail
    • 09 Dec 2019
    • News

    Identify Great Customers from Their First Purchase

      Isamar Troncoso

      Isamar Troncoso is an Assistant Professor of Business Administration in the Marketing Unit at HBS. She teaches the Marketing course in the MBA required curriculum.

      Professor Troncoso studies problems related to digital marketplaces and new technologies. She... View Details

      Keywords: e-commerce industry; high technology; retailing
      • 16 Oct 2019
      • Research & Ideas

      Read Our Most Popular Stories of the Quarter

      What stories were readers like you diving into this summer on HBS Working Knowledge? Your interests varied dramatically, everything from how researchers use machine learning technology to predict CEO... View Details
      Keywords: by Sean Silverthorne
      • February 2018
      • Case

      Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home

      By: Rajiv Lal and Scott Johnson
      Amazon, Google, and Apple all offer their own smart speaker. The devices represent each firm's entry point into the connected home market. All three companies come into the space with their own strengths and weaknesses. Who will win? View Details
      Keywords: Apple; Apple Inc.; Google; Amazon; Amazon.com; Google Home; Homepod; Echo; Smart Home; Connected Home; Voice; Artificial Intelligence; Machine Learning; Internet Of Things; Smart Speaker; Connected Speaker; Intelligent Assistants; Virtual Assistants; Voice Assistants; Alexa; Google Assistant; Siri; Technological Innovation; Disruptive Innovation; Competitive Strategy; Business Strategy; Adoption; Information Infrastructure; Information Technology; Internet and the Web; Mobile and Wireless Technology; Applications and Software; Technology Adoption; Digital Platforms; Household; AI and Machine Learning; Electronics Industry; Technology Industry; United States
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      Lal, Rajiv, and Scott Johnson. "Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home." Harvard Business School Case 518-035, February 2018.

        Ta-Wei Huang

        Ta-Wei (David) Huang is a PhD candidate in Quantitative Marketing at Harvard Business School. His research integrates causal inference and machine learning to address methodological challenges and unintended consequences in targeting, personalization, and online... View Details
        • November 2024
        • Supplement

        AlphaGo (C): Birth of a New Intelligence

        By: Shikhar Ghosh and Shweta Bagai
        This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
        Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States
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        Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (C): Birth of a New Intelligence." Harvard Business School Supplement 825-075, November 2024.
        • December 1984
        • Case

        Expense Tracking System at Tiger Creek

        By: Shoshana Zuboff
        Mill manager Carl Adelman learns that a group of senior managers is soon to visit the Tiger Creek mill to learn more about the success of the newly implemented Expense Tracking System. The System had been installed on two paper machines to give workers real time cost... View Details
        Keywords: Management Teams; Success; Cost Management; Technology; Pulp and Paper Industry
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        Zuboff, Shoshana. "Expense Tracking System at Tiger Creek." Harvard Business School Case 485-057, December 1984.

          Himabindu Lakkaraju

          Himabindu "Hima" Lakkaraju is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on... View Details

          • 01 Mar 2008
          • News

          Classroom Legend

          we could wrestle with and articulate, what this case method was all about,” observes Willis Emmons (MBA ’85, PhDBE ’89), director of the C. Roland Christensen Center for Teaching and Learning at HBS. “We welcomed 38 new faculty to the... View Details
          Keywords: Deborah Blagg; Roland Christensen; George Albert Smith; Fritz J. Roethlisberger; Richard Meriam; Edmund P. Learned; Business Schools & Computer & Management Training; Educational Services; Management
          • Research Summary

          Understanding the Limitations of Model Explanations

          By: Himabindu Lakkaraju
          The goal of this research is to understand how adversaries can exploit various algorithms used for explaining complex machine learning models with an intention to mislead end users. For instance, can adversaries trick these algorithms into masking their racial and... View Details
          • 13 Sep 2018
          • HBS Seminar

          Nitin Joglekar, Boston University

            Jeremy Yang

            Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products for... View Details
            Keywords: advertising; media; entertainment; information; consumer products
            • 20 Nov 2024
            • HBS Seminar

            Marc Rotenberg, Georgetown University Law

            • Research Summary

            Overview

            By: Isamar Troncoso
            Professor Troncoso's research explores problems related to digital marketplaces and AI applications in marketing, and combines toolkits from econometrics, causal inference, and machine learning. She has studied how different platform design choices can lead to... View Details
            • 28 Mar 2017
            • Working Paper Summaries

            CEO Behavior and Firm Performance

            Keywords: by Oriana Bandiera, Stephen Hansen, Andrea Pratt, and Raffaella Sadun
            • December 2018 (Revised March 2021)
            • Background Note

            Modern Automation (A): Artificial Intelligence

            By: William R. Kerr and James Palano
            This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of... View Details
            Keywords: Artificial Intelligence; Digitization; Connectivity; Computing; Future Of Work; Automation; AI and Machine Learning
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            Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)
            • August 2021 (Revised November 2024)
            • Case

            Intenseye: Powering Workplace Health and Safety with AI (A)

            By: Michael W. Toffel and Youssef Abdel Aal
            Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye’s... View Details
            Keywords: Privacy; Product Development; Operations; Technological Innovation; Value Creation; Production; Distribution; Safety; Risk and Uncertainty; Technology Industry; Manufacturing Industry; Distribution Industry; Turkey; Middle East; United States
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            Toffel, Michael W., and Youssef Abdel Aal. "Intenseye: Powering Workplace Health and Safety with AI (A)." Harvard Business School Case 622-037, August 2021. (Revised November 2024.)
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