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Publications

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  • All HBS Web  (2,470)
    • People  (4)
    • News  (644)
    • Research  (1,569)
    • Events  (31)
    • Multimedia  (7)
  • Faculty Publications  (757)

Show Results For

  • All HBS Web  (2,470)
    • People  (4)
    • News  (644)
    • Research  (1,569)
    • Events  (31)
    • Multimedia  (7)
  • Faculty Publications  (757)
← Page 10 of 2,470 Results →
  • 10 May 2013
  • News

Technology as a Driver of Growth (or Not)

  • 26 Apr 2010
  • News

The Pay Problem

  • May 2019 (Revised January 2020)
  • Case

The Video-Streaming Wars in 2019: Can Disney Catch Netflix?

By: Anita Elberse and Monica Cody
Bob Iger, CEO of entertainment conglomerate Disney, thrilled investors with details about Disney’s upcoming foray into video streaming in April 2019. Disney’s move was only the latest in a series of actions taken by new and established entertainment companies in a... View Details
Keywords: Television; Entertainment; Media; Television Entertainment; Management; Strategy; Disruption; Information Technology; Competition; Media and Broadcasting Industry; Entertainment and Recreation Industry
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Elberse, Anita, and Monica Cody. "The Video-Streaming Wars in 2019: Can Disney Catch Netflix?" Harvard Business School Case 519-094, May 2019. (Revised January 2020.)
  • 04 Feb 2019
  • News

Betting on Books: Can the Indie Bookstore Revival Last?

    The International Price of Remote Work

    We use data from a large web-based job platform to study how the price of remote work is determined in a globalized labor market. In the platform, workers located around the world compete for jobs that can be done... View Details
    • 2023
    • Article

    Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

    By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
    Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
    Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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    Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
    • January 2022
    • Article

    Determinants of Gender Differences in Change in Pay among Job-Switching Executives

    By: Boris Groysberg, Paul M. Healy and Eric Lin
    The authors investigate what determines differences in change in pay between men and women executives who move to new employers. Using proprietary data of 2,034 executive placements from a global search firm, the authors observe narrower pay differences between men and... View Details
    Keywords: Executive Pay; Executive Labor Market; Gender Pay Gap; External Recruitment; Executive Compensation; Gender; Human Capital
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    Groysberg, Boris, Paul M. Healy, and Eric Lin. "Determinants of Gender Differences in Change in Pay among Job-Switching Executives." Industrial & Labor Relations Review 75, no. 1 (January 2022): 168–199.
    • June 2003
    • Case

    Peabody Elementary School (A)

    By: Rosabeth M. Kanter and Kevin Morris
    A new principal, Marty Pettigrew, has just joined this inner-city optional school--which offers special programs in international studies to attract children from all over the city. Entering mid-way through the school year, he observes a number of areas of concern,... View Details
    Keywords: Change Management; Leading Change; Early Childhood Education; Education Industry
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    Kanter, Rosabeth M., and Kevin Morris. "Peabody Elementary School (A)." Harvard Business School Case 303-134, June 2003.
    • 05 Jun 2019
    • News

    When Customers Want to See the Human Behind the Product

    • 2022
    • Working Paper

    Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

    By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
    We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
    Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing
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    Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
    • December 2023
    • Article

    What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data

    By: Alberto Cavallo and Oleksiy Kryvtsov
    We use a detailed micro dataset on product availability and stockouts to construct a direct high-frequency measure of consumer product shortages during the 2020-2022 pandemic. We document a widespread multi-fold rise in stockouts in nearly all sectors early in the... View Details
    Keywords: Prices; Stockouts; Inventories; Supply Disruptions; COVID-19 Pandemic; Supply Chain; Product; Demand and Consumers
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    Cavallo, Alberto, and Oleksiy Kryvtsov. "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data." Journal of International Economics 146 (December 2023).
    • 27 Jan 2011
    • News

    Davos Diary: Day Two

    • 19 Oct 2022
    • News

    Number One in Formula One

    • 04 Feb 2020
    • Video

    Francis Okomo-Okello

    Francis Okomo-Okello, Chair of a leading Kenyan luxury hotel group and of the subsidiary of a major foreign bank, observes the eco-system of corruption in Africa, which adds greatly to the cost of doing... View Details
    • March 2020
    • Article

    Diagnosing Missing Always at Random in Multivariate Data

    By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
    Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details
    Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods
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    Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
    • 2015
    • Working Paper

    The Challenges and Enhancing Opportunities of Global Project Management: Evidence from Chinese and Dutch Cross-Cultural Project Management

    By: Ying Zhang, Christopher Marquis, Sergey Filippov, Henk-Jan Haasnoot and Martijn van der Steen
    This study investigates the role of national and organisational culture in day-to-day activities of multinational project teams, specifically focusing on differences between Chinese and Dutch project managers. We rely on fieldwork observation and interviews with... View Details
    Keywords: Management; Organizational Culture; Projects; Cross-Cultural and Cross-Border Issues; China; Netherlands
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    Zhang, Ying, Christopher Marquis, Sergey Filippov, Henk-Jan Haasnoot, and Martijn van der Steen. "The Challenges and Enhancing Opportunities of Global Project Management: Evidence from Chinese and Dutch Cross-Cultural Project Management." Harvard Business School Working Paper, No. 15-063, February 2015.
    • 2018
    • Working Paper

    Survival of the Fittest: The Impact of the Minimum Wage on Firm Exit

    By: Dara Lee Luca and Michael Luca
    We study the impact of the minimum wage on firm exit in the restaurant industry, exploiting recent changes in the minimum wage at the city level. We find that the impact of the minimum wage depends on whether a restaurant was already close to the margin of exit.... View Details
    Keywords: Wages; Business Exit or Shutdown; Food and Beverage Industry
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    Luca, Dara Lee, and Michael Luca. "Survival of the Fittest: The Impact of the Minimum Wage on Firm Exit." Harvard Business School Working Paper, No. 17-088, April 2017. (Revised August 2018.)
    • 20 Mar 2015
    • News

    Red Sneakers and Sweatshirts: The Surprising Upside Of Standing Out

    • May 2017
    • Article

    Stable and Strategy-Proof Matching with Flexible Allotments

    By: John William Hatfield, Scott Duke Kominers and Alexander Westkamp
    We introduce a framework of matching with flexible allotments that can be used to model firms with cross-division hiring restrictions. Our framework also allows us to nest some prior models of matching with distributional constraints. Building upon our recent work on... View Details
    Keywords: Balance and Stability; Mathematical Methods
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    Hatfield, John William, Scott Duke Kominers, and Alexander Westkamp. "Stable and Strategy-Proof Matching with Flexible Allotments." American Economic Review 107, no. 5 (May 2017): 214–219.
    • December 2007 (Revised June 2009)
    • Background Note

    Identifying and Exploiting the Right Entrepreneurial Opportunity...For You

    By: Howard H. Stevenson and Shirley Spence
    This note provides an analytical framework for assessing potential opportunities in the context of an entrepreneur's life. The framework has two parts -- a business analysis and a personal analysis -- each comprised of a set of yes/no questions for critical assessment... View Details
    Keywords: Entrepreneurship; Opportunities
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    Stevenson, Howard H., and Shirley Spence. "Identifying and Exploiting the Right Entrepreneurial Opportunity...For You." Harvard Business School Background Note 808-043, December 2007. (Revised June 2009.)
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