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  • June 2024
  • Article

Oral History and Business History in Emerging Markets

By: Geoffrey Jones
This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183... View Details
Keywords: Emerging Economies; Oral History; Emerging Markets; Business History; Research
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  • October 2022
  • Article

A Structural Model of Organizational Buying for Business-to-Business Markets: Innovation Adoption with Share-of-Wallet Contracts

By: Navid Mojir and K. Sudhir
The paper develops the first structural model of organizational buying to study innovation diffusion in a B2B market. Our model is particularly applicable for routinized exchange relationships, whereby centralized buyers periodically evaluate and choose contracts,... View Details
Keywords: Organizational Buying Behavior; Healthcare Marketing; B2B Markets; B2B Innovation; New Product Diffusion; New Product Adoption; Organizations; Acquisition; Behavior; Health Care and Treatment; Marketing; Innovation and Invention
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  • December 1997 (Revised April 1998)
  • Case

www.springs.com

By: F. Warren McFarlan and Melissa Dailey
Business Week's June 1997 "Rising Star" profile of Springs Industries' president and COO, Crandall Bowles, reported that she was poised to become one of the top two or three women executives in the country. In November 1997, the company announced Bowles' appointment to... View Details
Keywords: Information Technology; Operations; Product Marketing; Management; Strategy; Consumer Products Industry; South Carolina
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  • 13 Jan 2015
  • First Look

First Look: January 13

timing of the national college entrance exam and introduced early admissions, and we propose a game-theoretic model that matches those facts. When applications reveal information about students that is of common interest to all colleges,... View Details
Keywords: Sean Silverthorne
  • Article

Health App Policy: International Comparison of Nine Countries' Approaches

By: Anna Essén, Ariel Dora Stern, Christoffer Bjerre Haase, Josip Car, Felix Greaves, Dragana Paparova, Steven Vandeput, Rik Wehrens and David W. Bates
An abundant and growing supply of digital health applications (apps) exists in the commercial tech-sector, which can be bewildering for clinicians, patients, and payers. A growing challenge for the health care system is therefore to facilitate the identification of... View Details
Keywords: Digital Health; Apps; Health Care and Treatment; Internet and the Web; Policy; Global Range; Applications and Software
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  • 19 May 2010
  • Working Paper Summaries

The Job Market for New Economists: A Market Design Perspective

Keywords: by Peter A. Coles, John Cawley, Phillip B. Levine, Muriel Niederle, Alvin E. Roth & John J. Siegfried
  • 22 Oct 2008
  • Working Paper Summaries

Variation in Experience and Team Familiarity: Addressing the Knowledge Acquisition-Application Problem

Keywords: by Robert S. Huckman & Bradley R. Staats; Video Game; Web Services
  • February 2023
  • Case

Enstitute

By: Lindsay N. Hyde, Thomas R. Eisenmann, Kumba Sennaar and Sarah Mehta
Shaila Ittycheria (MBA ’10) founded the nonprofit organization Enstitute, in 2012 in New York City. Determined to challenge the status quo within higher education, Shaila and her cofounder sought to expand opportunities for talented young people by placing them in... View Details
Keywords: Social Entrepreneurship; Operations; Business Startups; Business Growth and Maturation; Education Industry; Employment Industry; United States
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  • 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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  • May 2009
  • Article

The Empirical Impact of Intellectual Property Rights on Innovation: Puzzles and Clues

By: Josh Lerner
Economists have long seen the patent system as a crucial lever through which policymakers affect the speed and nature of innovation in the economy. It is not surprising, then, that the profound changes which have roiled the global patent system over the past 20 years... View Details
Keywords: Economy; Policy; Innovation and Invention; Intellectual Property; Rights; Business and Government Relations
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    Design and Analysis of Switchback Experiments

    Switchback experiments, where a firm sequentially exposes an experimental unit to random treatments, are among the most prevalent designs used in the technology sector, with applications ranging from ride-hailing platforms to online marketplaces. Although... View Details
    • 08 Aug 2023

    HBS Information Session in Rio

    Join us for an in-person information session about the Harvard Business School MBA Program. This event is designed for prospective applicants to learn more about the MBA Program and life at HBS. The event will include an admissions... View Details
    • June–July 2019
    • Article

    A Methodology for Operationalizing Enterprise IT Architecture and Evaluating Its Modifiability

    By: Robert Lagerström, Alan MacCormack, David Dreyfus and Carliss Y. Baldwin
    Recent contributions to information systems theory suggest that the primary role of a firm’s information technology (IT) architecture is to facilitate, and therefore ensure the continued alignment of a firm’s IT investments with a constantly changing business... View Details
    Keywords: Enterprise Architecture; Modularity; Information Systems; Modifiability; Design Structure Matrix
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    • 2000
    • Working Paper

    The Logic of the First Amendment

    By: Clifford G. Holderness, Michael C. Jensen and William H. Meckling
    We develop a framework that is applicable to all freedom of expression disputes. Our framework is based on the meaning of freedom which is based on the meaning of scarcity, and which, in turn, is based on the existence of physical incompatibilities. To maximize... View Details
    Keywords: Rights; Courts and Trials; Judgments; Property; Conflict and Resolution; United States
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    • 02 Sep 2015
    • What Do You Think?

    What's Wrong With Amazon’s Low-Retention HR Strategy?

    low-retention HR strategy, its customers probably regard it as a highly successful application of that idea.  Advocates of a high-retention strategy may wonder why Amazon hasn’t learned something from online retailer Zappos, a... View Details
    Keywords: by James Heskett; Web Services; Retail; Apparel & Accessories; Consumer Products; Fashion
    • Profile

    Mark Giragosian

    attraction of HBS is its application of the case study method. “One of my weaknesses was that I did not always speak up as quickly as I should have in business settings. The case method strengthens my ability to analyze and interpret... View Details
    • Web

    Entrepreneurship - Faculty & Research

    (“NOFO”) with at least one unconventional provision: a pre-application (“pre-app”) to the actual application for parts of $39 billion in direct semiconductor manufacturing incentives. The funding had been made available through the U.S.... View Details
    • Web

    Economic Development in Rural Areas - Institute For Strategy And Competitiveness

    HBS ISC Competitiveness & Economic Development CED Competitiveness & Economic Development Frameworks & Key Concepts Research & Applications Research & Applications Research & View Details
    • 2023
    • Working Paper

    Design-Based Inference for Multi-arm Bandits

    By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
    Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
    Keywords: Analytics and Data Science; Mathematical Methods
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    • 2023
    • Working Paper

    Distributionally Robust Causal Inference with Observational Data

    By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
    We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
    Keywords: AI and Machine Learning; Mathematical Methods
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