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  • All HBS Web  (2,646)
    • People  (1)
    • News  (734)
    • Research  (1,425)
    • Events  (27)
    • Multimedia  (16)
  • Faculty Publications  (1,033)
← Page 45 of 2,646 Results →
  • 06 Oct 2016
  • HBS Seminar

Katy Borner, Indiana University

    Rosabeth M. Kanter

    Rosabeth Moss Kanter holds the Ernest L. Arbuckle Professorship at Harvard Business School, specializing in strategy, innovation, and leadership for change. Her strategic and practical insights guide leaders worldwide through teaching, writing, and direct... View Details

    Keywords: computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer
    • 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

    In-Context Unlearning: Language Models as Few Shot Unlearners

    By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
    Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details
    Keywords: AI and Machine Learning; Copyright; Information
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    Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
    • 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.
    • 2022
    • Article

    A Human-Centric Take on Model Monitoring

    By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
    Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on... View Details
    Keywords: AI and Machine Learning; Research and Development; Demand and Consumers
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    Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.

      Das Narayandas

      Das Narayandas is the Edsel Bryant Ford Professor of Business Administration at the Harvard Business School. His academic credentials include a Bachelor of Technology degree in Engineering from the Indian Institute of Technology, Bombay (IITB), a Post-Graduate... View Details

      Keywords: computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer

        Shane M. Greenstein

        Shane Greenstein is the Martin Marshall Professor of Business Administration. He teaches in the Technology, Operations and Management Unit. 

        Encompassing a wide array of questions about computing, communication, and Internet markets, Professor Greenstein’s... View Details

        Keywords: computer; computer; computer; computer; computer; computer; computer

          David B. Yoffie

          Professor David B. Yoffie is the Max and Doris Starr Professor of International Business Administration at Harvard Business School. A member of the HBS faculty since 1981, Professor Yoffie received his Bachelor's degree summa cum laude and Phi Beta... View Details

          Keywords: computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer

            Thomas R. Eisenmann

            Thomas R. Eisenmann is the Howard H. Stevenson Professor of Business Administration at the Harvard Business School; Peter O. Crisp Faculty Chair, Harvard Innovation Labs; and Unit Head of the HBS Entrepreneurial... View Details

            Keywords: computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer
            • Web

            Founders & Investors - Entrepreneurship

            Jurvetson MBA 1984 William S. Eckert Motion Computing MBA 1995 Andrew Eisner Movable Media MBA 2002 William Elfers Greylock Partners MBA 1974 Charles D. Ellis Greenwich Associates MBA 1963 Jon Elvekrog 140 Proof MBA 1996 Adam Enbar The... View Details
            • 2017
            • Working Paper

            Inventory Management for Mobile Money Agents in the Developing World

            By: Karthik Balasubramanian, David F. Drake and Douglas Fearing
            Mobile money systems, platforms built and managed by mobile network operators to allow money to be stored as digital currency, have burgeoned in the developing world as a mechanism to transfer money electronically. Mobile money agents exchange cash for electronic value... View Details
            Keywords: Currency; Mobile Technology; Market Platforms; Developing Countries and Economies
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            Balasubramanian, Karthik, David F. Drake, and Douglas Fearing. "Inventory Management for Mobile Money Agents in the Developing World." Harvard Business School Working Paper, No. 17-109, June 2017. (Presented at INFORMS 2015 and POMS 2016. Finalist and first runner up, Production and Operations Management College of Sustainable Operations Best Student Paper Award.)
            • April 2014
            • Teaching Note

            Jiangxi Agribusiness: (TN)

            By: David F. Hawkins
            [TN for 114-039] Emily Wang, an analyst with Future Securities, a Shanghai-based investment firm, is given the task of making stock purchase recommendations to her supervisor from a number of Chinese common stocks. One stock in particular, Jiangxi Agribusiness... View Details
            Keywords: Financial Analysis; Ratio Analysis
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            Hawkins, David F. "Jiangxi Agribusiness: (TN)." Harvard Business School Teaching Note 114-041, April 2014.
            • 02–03 Dec 2022
            • HBS Alumni Events

            D^3 Catalyst: No Code Machine Learning and Artificial Intelligence

            Do you want to delve into Machine Learning and Artificial Intelligence, but you feel overwhelmed and intimidated? Do you want to leverage the power of Machine Learning and Artificial Intelligence without writing any code? Do you want to leverage Machine Learning and... View Details
            • 23 Jan 2024
            • Book

            More Than Memes: NFTs Could Be the Next Gen Deed for a Digital World

            open up markets and help build loyal communities of customers. In the following excerpt, the authors shed light on the value and potential of NFTs. Could digital “tokens” possibly be worth hundreds or thousands or even millions of dollars? The tokens themselves are... View Details
            Keywords: by Dina Gerdeman; Information Technology; Technology; Financial Services
            • Web

            Spangler Center | About

            course material distribution center, and an ATM. MBA administrative offices occupy the upper level, and well-appointed student lounges with computer terminals are on the main level. Dining facilities on the lower and main levels are open... View Details
            • April 2020
            • Case

            Apple Inc. in 2020

            By: David B. Yoffie and Daniel Fisher
            After a decade as CEO, Tim Cook is facing one of his biggest strategic transitions of his tenure. While Apple had performed spectacularly well under Cook, Apple's core business was maturing. Sales of iPhones, iPads, and Macs were flat or down. However, Apple's new... View Details
            Keywords: Innovation; Market Positioning; Marketing Implementation; Planning; Products; Strategic Positioning; Strategy; Information Technology; Competitive Strategy; Technological Innovation; Competitive Advantage; Product Positioning; Communication; Competition; Leadership; Strategic Planning; Computer Industry; Computer Industry; Computer Industry
            Citation
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            Yoffie, David B., and Daniel Fisher. "Apple Inc. in 2020." Harvard Business School Case 720-454, April 2020.
            • 12 Jun 2018
            • First Look

            New Research and Ideas, June 12, 2018

            workers with heterogeneous human capital interface with machine learning, relative to the older Boolean search technology. We randomly assign individuals with and without computer science and engineering (CS&E) knowledge bases to each... View Details
            Keywords: Dina Gerdeman

              William A. Sahlman

              William Sahlman is a Baker Foundation Professor of Business Administration at Harvard Business School.

              Mr. Sahlman received an A.B. degree in Economics from Princeton University (1972), an M.B.A. from Harvard University (1975), and a Ph.D. in Business... View Details

              Keywords: computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer
              • May 2013 (Revised March 2014)
              • Case

              Hubei Lantian (A)

              By: David F. Hawkins, Michael Shih-Ta Chen and Nancy Hua Dai
              Emily Wang, an analyst with Future Securities, a Shanghai-based investment firm, is given the task of making stock purchase recommendations to her supervisor from a number of Chinese common stocks. One stock in particular, Hubei Lantian Co., Ltd. (Hubei Lantian),... View Details
              Keywords: Financial Analysis; Ratio Analysis
              Citation
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              Hawkins, David F., Michael Shih-Ta Chen, and Nancy Hua Dai. "Hubei Lantian (A)." Harvard Business School Case 113-118, May 2013. (Revised March 2014.)
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