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  • All HBS Web  (2,594)
    • People  (1)
    • News  (734)
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← Page 44 of 2,594 Results →

    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
    • 02 Sep 2014
    • First Look

    First Look: September 2

    and applied levels. First, the field will broaden its boundaries to include genetics and molecular neuroscience, each of which will provide important new insights into individual differences in decision making. Second, recent advances in View Details
    Keywords: Sean Silverthorne
    • 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
    • 2023
    • Article

    Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

    By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
    One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
    Keywords: AI and Machine Learning; Mathematical Methods
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    Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
    • November–December 2023
    • Article

    Look the Part? The Role of Profile Pictures in Online Labor Markets

    By: Isamar Troncoso and Lan Luo
    Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"... View Details
    Keywords: Freelancers; Gig Workers; Demographics; Prejudice and Bias; Selection and Staffing; Jobs and Positions; Analytics and Data Science
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    Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
    • January–February 2021
    • Article

    Making Space for Emotions: Empathy, Contagion, and Legitimacy’s Double-Edged Sword

    By: Andreea Gorbatai, Cyrus Dioun and Kisha Lashley
    Legitimacy is critical to the formation and expansion of nascent fields because it lends credibility and recognizability to once overlooked actors and practices. At the same time, legitimacy can be a double-edged sword precisely because it facilitates field growth,... View Details
    Keywords: Legitimacy; Collective Identity; Emotional Contagion; Field-congifiguring Events; Empathy; Natural Language Processing; Mixed Methods; Organizational Culture; Emotions; Groups and Teams
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    Gorbatai, Andreea, Cyrus Dioun, and Kisha Lashley. "Making Space for Emotions: Empathy, Contagion, and Legitimacy’s Double-Edged Sword." Organization Science 32, no. 1 (January–February 2021): 42–63.
    • 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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    Goh, Joel, and Nicholas G. Hall. "Total Cost Control in Project Management via Satisficing." Management Science 59, no. 6 (June 2013): 1354–1372.
    • 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
    • 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
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    Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
    • 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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    Lane, Jacqueline N., Bruce Ankenman, and Seyed Iravani. "Insight into Gender Differences in STEM: Evidence from Peer Reviews in an Engineering Class." Service Science 10, no. 4 (2018): 442–456.

      Jan W. Rivkin

      Jan W. Rivkin is a Professor in the Strategy Unit at Harvard Business School. In the past, he has served as Faculty Chair of the MBA Program, Senior Associate Dean for Research, and head of the Strategy Unit. His research, course development, and teaching focus on... View Details

      Keywords: computer; computer; 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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      Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
      • 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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      Erev, Ido, Eyal Ert, and Alvin E. Roth. "A Choice Prediction Competition for Market Entry Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 1, no. 2 (June 2010): 117–136.
      • 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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      Desai, Mihir A., and Kathleen Luchs. "Valuing Project Achieve." Harvard Business School Case 201-080, January 2001.

        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
        • Oct 2020
        • Conference Presentation

        Optimal, Truthful, and Private Securities Lending

        By: Emily Diana, Michael J. Kearns, Seth Neel and Aaron Leon Roth
        We consider a fundamental dynamic allocation problem motivated by the problem of securities lending in financial markets, the mechanism underlying the short selling of stocks. A lender would like to distribute a finite number of identical copies of some scarce resource... View Details
        Keywords: Differential Privacy; Mechanism Design; Finance; Mathematical Methods
        Citation
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        Diana, Emily, Michael J. Kearns, Seth Neel, and Aaron Leon Roth. "Optimal, Truthful, and Private Securities Lending." Paper presented at the 1st Association for Computing Machinery (ACM) International Conference on AI in Finance (ICAIF), October 2020.
        • April 2021
        • Case

        Codecademy: Where to Next?

        By: Jeffrey F. Rayport, Max Mailman and Sarah Ascherman
        In March 2020, Zach Sims, co-founder and CEO of online education platform Codecademy, prepared for a meeting with his Chief of Staff Kunal Ahuja to discuss the company’s goals. Codecademy billed itself as the largest online resource for computer science literacy and... View Details
        Keywords: Monetization Strategy; Business Model; Change Management; Venture Capital; Leading Change; Growth and Development Strategy; Growth Management; Management Teams; Marketing Channels; Product Marketing; Network Effects; Product Development; Organizational Change and Adaptation; Strategic Planning; Internet and the Web; Digital Platforms; United States
        Citation
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        Rayport, Jeffrey F., Max Mailman, and Sarah Ascherman. "Codecademy: Where to Next?" Harvard Business School Case 821-093, April 2021.
        • 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
        Citation
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        Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
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