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    Janice H. Hammond

    Janice H. Hammond is the Jesse Philips Professor of Manufacturing. She currently serves as coursehead for the new MBA required course, Data Science for Managers. She serves as program chair for the HBS Executive Education International Women’s Foundation and Women’s... View Details

    Keywords: apparel; distribution; e-commerce industry; manufacturing; retailing; textiles; transportation
    • 2015
    • Article

    Testing Strategy with Multiple Performance Measures: Evidence from a Balanced Scorecard at Store24

    By: Dennis Campbell, Srikant M. Datar, Susan L. Kulp and V.G. Narayanan
    We analyze balanced scorecard data from a convenience store chain, Store24, during the implementation of an innovative, but ultimately unsuccessful, strategy. Quarterly strategic reviews, based in part on the firm's balanced scorecard, led executives at Store24 to... View Details
    Keywords: Balanced Scorecard; Business Strategy; Retail Industry
    Related
    • January 2002
    • Article

    Organizational Endowments and the Performance of University Start-ups

    By: Scott Shane and Toby E. Stuart
    The question of how initial resource endowments—the stocks of resources that entrepreneurs contribute to their new ventures at the time of founding—affect organizational life chances is one of significant interest in organizational ecology, evolutionary... View Details
    Keywords: Resource Allocation; Entrepreneurship; Business Startups; Research; Company History; Initial Public Offering; Venture Capital; Financing and Loans
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    • Research Summary

    Overview

    By: Joshua Lev Krieger
    In examining the competitive dynamics of R&D strategy, Josh has become particularly interested in how the introduction of new knowledge generated by rivals impacts the direction of R&D efforts. Understanding how new information alters project portfolio decisions is... View Details
    • December 2012
    • Article

    Grand Innovation Prizes: A Theoretical, Normative, and Empirical Evaluation

    By: Alan MacCormack, Fiona Murray, Scott Stern and Georgina Campbell
    This paper provides a systematic examination of the use of a Grand Innovation Prize (GIP) in action—the Progressive Automotive Insurance X PRIZE—a $10 million prize for a highly efficient vehicle. Following a mechanism design approach we define three key dimensions for... View Details
    Keywords: Design; Motivation and Incentives; Goals and Objectives; Performance; Auto Industry
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    • 2024
    • Working Paper

    Using LLMs for Market Research

    By: James Brand, Ayelet Israeli and Donald Ngwe
    Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details
    Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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    • January 2016 (Revised April 2017)
    • Case

    The Galaxy Dividend Income Growth Fund's Option Investment Strategies

    By: W. Carl Kester
    This case is designed to provide an elementary introduction to options and option pricing for beginning finance students. Analysis of the case requires students to compare the prices of put and call options with various exercise prices and maturity dates on two... View Details
    Keywords: Options; Option Contract; Option Pricing; Derivatives; Mutual Funds; Call Options; Put Options; Stock Options; Risk and Uncertainty; Volatility; Financial Services Industry; United States
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    • 03 Jan 2017
    • First Look

    January 3, 2017

    Winter 2017 MIT Sloan Management Review Why Big Data Isn't Enough By: Chai, Sen, and Willy C. Shih Abstract—There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any... View Details
    Keywords: Carmen Nobel

      Josh Lerner

      Josh Lerner is the Jacob H. Schiff Professor at Harvard Business School and Co-Director of the HBS Private Capital Project.  Much of his research focuses on venture capital and private equity organizations.  (This research is summarized in his books The Money of... View Details

      Keywords: biotechnology; high technology; venture capital industry
      • 2021
      • Working Paper

      The Project on Impact Investments' Impact Investment Database

      By: M. Diane Burton, Shawn Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Josh Lerner, Fanele Mashwama, Yue (Cynthia) Xu and T. Robert Zochowski
      Impact investing has grown significantly over the past 15 years. From a niche investing segment with only $25 billion AUM in 2013 (WEF 2013), it experienced double-digit growth and developed into a market with an estimated $502 billion AUM (Mudaliapar and Dithrich... View Details
      Keywords: Impact Investing; Investment; Analytics and Data Science; Analysis
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      • Article

      Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM

      By: Katrina Ligett, Seth Neel, Aaron Leon Roth, Bo Waggoner and Steven Wu
      Traditional approaches to differential privacy assume a fixed privacy requirement ϵ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deployed in practical settings, it... View Details
      Keywords: Differential Privacy; Empirical Risk Minimization; Accuracy First
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      • April 2017
      • Teaching Note

      Basecamp: Pricing

      By: Frank V. Cespedes
      This Teaching Note accompanies HBS No. 817-067 “Basecamp: Pricing” in which a data analyst at Basecamp is evaluating the results of pricing research and its potential implications for the venture's latest version of its project management software product. View Details
      Keywords: Analytics and Data Science; Price; Analysis; Customers; Product Marketing
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      • January 2025
      • Case

      Hebbia: Redefining Productivity for Knowledge Workers Using AI

      By: Suraj Srinivasan and Minoshka Narayan
      In early 2025, George Sivulka, founder and CEO of Hebbia, reflected on the company’s rapid ascent as a pioneer in GenAI-powered productivity tools for knowledge workers. With its proprietary technology, Hebbia had redefined information retrieval and analysis and earned... View Details
      Keywords: Transformation; Customer Relationship Management; AI and Machine Learning; Innovation and Management; Innovation Strategy; Service Delivery; Technological Innovation; Growth and Development Strategy; Competitive Strategy; Banking Industry; Financial Services Industry; Technology Industry; United States; New York (city, NY)
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      • August 2014
      • Article

      The Varied Work of Challenger Movements: Identifying Challenger Roles in the U.S. Environmental Movement

      By: Stephanie Bertels, Andrew J. Hoffman and Rich Dejordy
      Organizations within challenger movements often exhibit differences in what they do, with whom they interact, and how they understand or present themselves. This article attempts to understand what underlies such heterogeneity in challenger movements. Adopting a mixed... View Details
      Keywords: Status and Position; Environmental Management; Non-Governmental Organizations; Social and Collaborative Networks
      Related
      • 19 Nov 2014
      • Working Paper Summaries

      The Search for Benchmarks: When Do Crowds Provide Wisdom?

      Keywords: by Charles M.C. Lee, Paul Ma & Charles C.Y. Wang

        Srikant M. Datar

        Srikant M. Datar became the eleventh dean of Harvard Business School on 1 January 2021. During his tenure as a faculty member, he served as Senior Associate Dean for University Affairs (including Faculty Chair of the Harvard Innovation Lab), for Research, for... View Details

        Keywords: accounting industry; airline; automobiles; banking; biotechnology; communications; consumer products; e-commerce industry; health care; high technology; investment banking industry; management consulting; manufacturing; pharmaceuticals; venture capital industry
        • 28 Feb 2018
        • HBS Seminar

        Kartik Hosanagar, Wharton, University of Pennsylvania

        • Research Summary

        Overview

        Navid has worked with different organizations across various industries, from the Federal Reserve to medical device manufacturers, heavy construction equipment sellers, and B2B software providers, to assemble proprietary datasets in studying organizational buying.... View Details

        • 2022
        • Working Paper

        The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

        By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
        As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
        Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
        Related
        • 31 Jul 2008
        • Working Paper Summaries

        Communication (and Coordination?) in a Modern, Complex Organization

        Keywords: by Adam M. Kleinbaum, Toby E. Stuart & Michael L. Tushman