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  • Web

Marketing - Faculty & Research

Marketing Overview Faculty Curriculum Seminars & Conferences Awards & Honors Doctoral Students Featured Publication Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb By: Shunyuan... View Details
  • 29 Jun 2011
  • Working Paper Summaries

Better-reply Dynamics in Deferred Acceptance Games

Keywords: by Guillaume Haeringer & Hanna Halaburda
  • 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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  • 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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    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

    • 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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    • 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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    • 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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    • 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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    • 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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    • Web

    Accounting & Management - Faculty & Research

    Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices.... View Details
    • 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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    • 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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    • 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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    • 27 Oct 2016
    • HBS Seminar

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

    • 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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    • 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
    • 22 Feb 2024
    • Research & Ideas

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

    predictions about the world. And now, even though generative AI feels very different from making a simple prediction, at a technical level, that's really what it is. In order to train these predictive systems, you need lots of example data input and output pairs. The... View Details
    Keywords: by Rachel Layne; Technology; Information Technology
    • 2021
    • Working Paper

    Time Dependency, Data Flow, and Competitive Advantage

    By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani
    Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
    Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
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