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  • Article

Total Cost Control in Project Management via Satisficing

By: Joel Goh and Nicholas G. Hall
We consider projects with uncertain activity times and the possibility of expediting, or crashing, them. Activity times come from a partially specified distribution within a family of distributions. This family is described by one or more of the following details about... View Details
Keywords: Project Management; Time And Cost Control; Robust Optimization; Satisficing; Linear Decision Rule; PERT; Management; Cost Management; Projects
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  • 22 Mar 2024
  • Research & Ideas

Open Source Software: The $9 Trillion Resource Companies Take for Granted

value, in part because their study didn’t include operating systems, the part of a computer system that controls all the other programs. “When we first came up with numbers in the trillions, we thought, ‘Nobody's going to believe this,’”... View Details
Keywords: by Rachel Layne; Computer; Computer; Computer
  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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  • Article

A Choice Prediction Competition for Market Entry Games: An Introduction

By: Ido Erev, Eyal Ert and Alvin E. Roth
A choice prediction competition is organized that focuses on decisions from experience in market entry games (http://sites.google.com/site/gpredcomp/ and http://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation... View Details
Keywords: Experience and Expertise; Decision Choices and Conditions; Forecasting and Prediction; Learning; Market Entry and Exit; Game Theory; Behavior; Competition
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  • January 2001
  • Case

Valuing Project Achieve

By: Mihir A. Desai and Kathleen Luchs
Project Achieve is a start-up providing information management solutions for schools. Its founders see a need for software both to manage the volumes of information necessary to administer a school and to connect parents, teachers, and students in a more effective way.... View Details
Keywords: Business Startups; Valuation; Venture Capital; Cost of Capital; Cash Flow; Forecasting and Prediction
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    Balancing Risk and Reward: An Automated Phased Release Strategy

    Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases... View Details
    • 11 Apr 2024
    • In Practice

    Why Progress on Immigration Might Soften Labor Pains

    lack of talent and saying, “Gosh, we need to find more workers.” The unemployment rate is still less for computer programmers than it is for workers who take jobs in fast food restaurants, but both unemployment rates are at historic lows.... View Details
    Keywords: by Rachel Layne
    • Web

    Blavatnik Fellowship in Life Science Entrepreneurship - Health Care

    pioneering novel gene insertion tools to treat inherited and age-related diseases. A spinout from George Church’s lab, HarborSite leverages large-scale computational genome mining and high-throughput experimental screening to discover and... View Details
    • Web

    South Asia - Global

    Anjali has co-authored several case studies such as Aadhaar: India’s ‘Unique Identification’ System, TeamLease: Putting India to Work (II) Legally; Pratham – Every Child in School and Learning Well; Naina Lal Kidwai: Investing in Her Country; Tech Mahindra and the... View Details
    • 2023
    • Article

    Balancing Risk and Reward: An Automated Phased Release Strategy

    By: Yufan Li, Jialiang Mao and Iavor Bojinov
    Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
    Keywords: Product Launch; Mathematical Methods; Product Development
    Related
    • 2018
    • Article

    Insight into Gender Differences in STEM: Evidence from Peer Reviews in an Engineering Class

    By: Jacqueline N. Lane, Bruce Ankenman and Seyed Iravani
    As the service industry moves toward self-service, peer feedback serves a critical role in this shift for educational services. Peer feedback is a process by which students provide feedback to each other. One of its major benefits is that it enables students to become... View Details
    Keywords: Peer Review; Peer Feedback; STEM Education; Anonymity; Education; Gender; Education Industry
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    • 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

    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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    • 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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    • 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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      V. Kasturi Rangan

      Kash Rangan is the Malcolm P. McNair Professor of Marketing at the Harvard Business School. Formerly the chairman of the Marketing Department (1998-2002), he is now the co-chairman of the school's Social Enterprise Initiative. He has taught in a wide variety of MBA... View Details

      Keywords: computer; computer; computer; computer; computer; computer; computer; computer; computer; computer; computer
      • 15 Aug 2023
      • HBS Case

      (Virtual) Reality Check: How Long Before We Live in the 'Metaverse'?

      The recent rollout of ChatGPT by OpenAI has set the world abuzz about the potential of artificial intelligence. But whatever happened to the last tech phenomenon, the “metaverse”? The once-heavily hyped future of immersive 3D technology seems to have drifted into the... View Details
      Keywords: by Jay Fitzgerald; Computer; Computer; Computer
      • Web

      Research Services - Faculty & Research

      problems. Some specific research services available to HBS faculty include: Computing resources HBS provides an expansive computing infrastructure for research, as well as the guidance and expertise of... View Details

        Youngme Moon

        Youngme Moon is the Donald K. David Professor of Business at Harvard Business School. Professor Moon's research sits at the intersection of brand strategy and culture, with a particular focus on the emergent AI economy. She is the author of the bestselling book, View Details

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

          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

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