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  • All HBS Web  (673)
    • News  (144)
    • Research  (432)
    • Events  (20)
    • Multimedia  (12)
  • Faculty Publications  (312)

Show Results For

  • All HBS Web  (673)
    • News  (144)
    • Research  (432)
    • Events  (20)
    • Multimedia  (12)
  • Faculty Publications  (312)
← Page 18 of 673 Results →
  • January 2024 (Revised February 2024)
  • Course Overview Note

Managing Customers for Growth: Course Overview for Students

By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
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Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)

    Innovation and Design in the Age of Artificial Intelligence

    At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation processes have so far been... View Details

    • October 2017 (Revised April 2018)
    • Case

    Improving Worker Safety in the Era of Machine Learning (A)

    By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
    Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
    Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
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    Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
    • 2020
    • Working Paper

    Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation

    By: Michael Yeomans and Alison Wood Brooks
    Although most humans engage in conversations constantly throughout their lives, conversational mistakes are commonplace— interacting with others is difficult, and conversation re-quires quick, relentless perspective-taking and decision making. For example: during every... View Details
    Keywords: Natural Language Processing; Interpersonal Communication; Perspective; Decision Making; Perception
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    Yeomans, Michael, and Alison Wood Brooks. "Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation." Harvard Business School Working Paper, No. 20-077, February 2020.
    • March 2011 (Revised December 2012)
    • Case

    Demand Media

    By: John Deighton and Leora Kornfeld
    Google search had helped Demand Media grow to be a $1.9 billion online publisher. Then, social media and smartphone apps began to change the way people navigated the Internet. How should Demand Media respond? The business ran on a radically new model in which a stable... View Details
    Keywords: Business Model; Information Publishing; Consumer Behavior; Customization and Personalization; Internet and the Web; Publishing Industry
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    Deighton, John, and Leora Kornfeld. "Demand Media." Harvard Business School Case 511-043, March 2011. (Revised December 2012.) (request a courtesy copy.)
    • 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.)
    • 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.
    • June 2020
    • Article

    Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

    By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
    By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details
    Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
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    Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
    • 2017
    • Working Paper

    The Need for Speed: Effects of Uncertainty Reduction in Patenting

    By: Mike Horia Teodorescu
    Patents are essential in commerce to establish property rights for ideas and to give equal protection to firms that develop new technologies. Young firms especially depend on the protection of intellectual property to bring a product from concept to market. However,... View Details
    Keywords: Startups; Natural Language Processing; Machine Learning; Patents; Business Startups; Risk and Uncertainty; Outcome or Result; Green Technology Industry
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    Teodorescu, Mike Horia. "The Need for Speed: Effects of Uncertainty Reduction in Patenting." Working Paper, September 2017. (Job Market Paper.)
    • July 2011
    • Article

    Kidney Paired Donation

    By: C. Bradley Wallis, Kannan P. Samy, Alvin E. Roth and Michael A. Rees
    Kidney paired donation (KPD) was first suggested in 1986, but it was not until 2000 when the first paired donation transplant was performed in the U.S. In the past decade, KPD has become the fastest growing source of transplantable kidneys, overcoming the barrier faced... View Details
    Keywords: Philanthropy and Charitable Giving; Health Care and Treatment; Growth and Development Strategy; Success; Problems and Challenges; Programs; System; United States
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    Wallis, C. Bradley, Kannan P. Samy, Alvin E. Roth, and Michael A. Rees. "Kidney Paired Donation." Nephrology, Dialysis, Transplantation 26, no. 7 (July 2011): 2091–2099.
    • 26 Mar 2024
    • Research & Ideas

    How Humans Outshine AI in Adapting to Change

    the flexibility of AI versus humans in adjusting to new situations, the authors set up four video games, outlining certain tasks for humans and several popular game-playing AI algorithms to complete. The tasks tested the players’ ability... View Details
    Keywords: by Rachel Layne; Technology; Information Technology
    • 2016
    • Working Paper

    Foreign Competition and Domestic Innovation: Evidence from U.S. Patents

    By: David Autor, David Dorn, Gordon H. Hanson, Pian Shu and Gary Pisano
    Manufacturing is the locus of U.S. innovation, accounting for more than three quarters of U.S. corporate patents. The rise of import competition from China has represented a major competitive shock to the sector, which in theory could benefit or stifle innovation. In... View Details
    Keywords: Patents; Competition; System Shocks; Trade; Innovation and Invention; Manufacturing Industry; China; United States
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    Autor, David, David Dorn, Gordon H. Hanson, Pian Shu, and Gary Pisano. "Foreign Competition and Domestic Innovation: Evidence from U.S. Patents." NBER Working Paper Series, No. 22879, December 2016.
    • 27 Oct 2016
    • HBS Seminar

    Andrea Pratt, Richard Paul Richman Professor of Business and Professor of Economics, Columbia University

    • 05 Sep 2013
    • Working Paper Summaries

    Performance Responses to Competition Across Skill-Levels in Rank Order Tournaments: Field Evidence and Implications for Tournament Design

    Keywords: by Kevin J. Boudreau, Constance E. Helfat, Karim R. Lakhani & Michael E. Menietti.
    • 2023
    • Article

    Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

    By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
    Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
    Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
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    Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
    • December 2022 (Revised June 2023)
    • Case

    Hacking the U.S. Election: Russia's Misinformation Campaign

    By: Shikhar Ghosh
    The case discusses the relatively low technology approach used by Russia to influence the U.S. Presidential Election in 2016. Although political parties manipulating the media was not a new phenomenon, the Russians ran a broad, well-financed, and sophisticated social... View Details
    Keywords: Political Elections; International Relations; Social Media; Power and Influence; Information; Russia; United States
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    Ghosh, Shikhar. "Hacking the U.S. Election: Russia's Misinformation Campaign." Harvard Business School Case 823-043, December 2022. (Revised June 2023.)
    • 19 Dec 2023
    • Research & Ideas

    The 10 Most Popular Articles of 2023

    life that includes rest, relationships, and a rewarding career. Is AI Coming for Your Job?In a post-AI world, where an algorithm can draft marketing copy—or even pop songs and movie scripts—anything seems possible. Harvard Business School... View Details
    Keywords: by Danielle Kost
    • Article

    Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses

    By: Kaivalya Rawal and Himabindu Lakkaraju
    As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
    Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods
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    Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
    • Web

    Accounting & Management - Faculty & Research

    Wittenberg-Moerman July 2025 | Article | Accounting Review To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices.... View Details
    • March 2022
    • Article

    Where to Locate COVID-19 Mass Vaccination Facilities?

    By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
    The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
    Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
    Citation
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    Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
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