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  • All HBS Web  (1,917)
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  • All HBS Web  (1,917)
    • People  (2)
    • News  (215)
    • Research  (1,370)
    • Events  (15)
    • Multimedia  (13)
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← Page 24 of 1,917 Results →
  • 10 Aug 2015
  • Research & Ideas

New Medical Devices Get To Patients Too Slowly

innovator. By contrast, previous research by Harvard's David Carpenter and others found that first movers in new chemical drug categories typically receives the fastest FDA approval, with every follow-on drug in the same category taking... View Details
Keywords: by Michael Blanding; Health; Technology
  • December 2019
  • Technical Note

Technical Note on Bayesian Statistics and Frequentist Power Calculations

By: Amitabh Chandra and Ariel Dora Stern
This Technical Note provides an introduction to Bayes’ Rule and the statistical intuition that stems from it. In this note, we review the concepts that underlie Bayesian statistics, and we offer several simple mathematical examples to illustrate applications of Bayes’... View Details
Keywords: Bayesian Statistics; Mathematical Methods
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Chandra, Amitabh, and Ariel Dora Stern. "Technical Note on Bayesian Statistics and Frequentist Power Calculations." Harvard Business School Technical Note 620-032, December 2019.
  • Article

Innovation Contests for High-Tech Procurement

By: Jin Hyun Paik, Martin Scholl, Rinat A. Sergeev, Steven Randazzo and Karim R. Lakhani
Innovation managers rarely use crowdsourcing as an innovative instrument despite extensive academic and theoretical research. The lack of tools available to compare and measure crowdsourcing, specifically contests, against traditional methods of procuring goods and... View Details
Keywords: Open Innovation; Contests; Crowdsourcing; Nasa; Evaluation; Acquisition; Information Technology; Innovation and Invention; Performance Evaluation; Framework
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Hyun Paik, Jin, Martin Scholl, Rinat A. Sergeev, Steven Randazzo, and Karim R. Lakhani. "Innovation Contests for High-Tech Procurement." Research-Technology Management 63, no. 2 (March–April 2020): 36–45.
  • September 1974 (Revised April 1975)
  • Case

Ocean Spray Cranberries, Inc. (A)

At the conclusion of a small-scale pilot survey, management must decide whether to invest in a larger survey or terminate the project. The objective of the study is to use psychographic measurement techniques to study the alternative positions of cranberry sauce.... View Details
Keywords: Surveys; Product Positioning; Mathematical Methods; Agriculture and Agribusiness Industry; Food and Beverage Industry
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DeBruicker, F., and Jan-Erik Modig. "Ocean Spray Cranberries, Inc. (A)." Harvard Business School Case 575-039, September 1974. (Revised April 1975.)
  • 13 Nov 2013
  • Research & Ideas

Should Men’s Products Fear a Woman’s Touch?

cigarettes. “Even though there was a functional need for men to drink lower-calorie soda, men couldn't bridge the gender gap image-wise without a new brand and product just for them” Research shows that loyal customers often get upset... View Details
Keywords: by Carmen Nobel; Consumer Products; Food & Beverage; Auto

    Willis M. Emmons

    WILLIAM (WILLIS) EMMONS is Senior Lecturer and Director of the C. Roland Christensen Center for Teaching and Learning at Harvard Business School, a position he has held since 2004.  As Director of the Christensen Center, Emmons oversees programs to... View Details

    Keywords: airline; infrastructure industry; pharmaceuticals; telecommunications; utilities
    • 26 Jan 2018
    • HBS Seminar

    John Helveston, Boston University

    • 11 Jan 2010
    • Research & Ideas

    Mixing Open Source and Proprietary Software Strategies

    product used in econometrics, is a good example of this. “Our research plainly shows that value creation doesn't necessarily lead to value capture.” In cases where values are intermediate, we find that the firm prefers to open the core... View Details
    Keywords: by Julia Hanna; Web Services
    • 2022
    • Working Paper

    TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

    By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
    Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
    Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning
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    Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
    • 2022
    • Article

    Towards Robust Off-Policy Evaluation via Human Inputs

    By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
    Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details
    Keywords: Analytics and Data Science; Research
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    Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
    • 22 Jan 2014
    • Working Paper Summaries

    Separating Homophily and Peer Influence with Latent Space

    Keywords: by Joseph P. Davin, Sunil Gupta & Mikołaj Jan Piskorski
    • 23 Sep 2013
    • Working Paper Summaries

    Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs

    Keywords: by Juan Alcácer, Wilbur Chung, Ashton Hawk & Gonçalo Pacheco-de-Almeida

      How Google Sold Its Engineers on Management

      High-performing knowledge workers often question whether managers actually contribute much, especially in a technical environment. Until recently, that was the case at Google, a company filled with self-starters who viewed management as more destructive than beneficial... View Details
      • Research Summary

      The Unexpected Effects of Workplace Transparency

      By: Ethan S. Bernstein

      Workplace transparency provides a foundation for learning and control, and therefore for satisfaction and productivity. Yet my research shows that an obsession with transparency-enhancing tools and structures can backfire, producing the unintended consequences of... View Details

      Keywords: Transparency; Privacy; Productivity; Field Experiments; Organizational Design; Organizational Structure; Behavior; Social and Collaborative Networks; Human Resources; Leadership; United States; Europe; China; Japan
      • 25 May 2021
      • Research & Ideas

      White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?

      percent. "One thing we can say: The algorithm is race-blind." By relying on intuition and other methods to set rates, many hosts of all backgrounds were overpricing their properties. The research team found... View Details
      Keywords: by Lane Lambert; Technology; Accommodations
      • July 2006
      • Article

      Bringing History (Back) into International Business

      By: G. Jones and Tarun Khanna
      We argue that the field of international business should evolve its rhetoric from the relatively uncontroversial idea that 'history matters' to exploring how it matters. We discuss four conceptual channels through which history matters, illustrating each with a major... View Details
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      Jones, G., and Tarun Khanna. "Bringing History (Back) into International Business." Journal of International Business Studies 37, no. 4 (July 2006): 453–468.
      • 21 Feb 2005
      • Op-Ed

      Is Business Management a Profession?

      reason that the issue of trust arises is that these individuals are expected to exercise judgment—based on specialized knowledge and methods of analysis that they alone are thought to possess—in areas in which their decisions affect the... View Details
      Keywords: by Rakesh Khurana, Nitin Nohria & Daniel Penrice
      • 10 Jan 2017
      • First Look

      First Look at New Research: January 10, 2017

      How did he do these deals? What strategies and tactics worked and what failed? Why and under what conditions? What ethical challenges does this approach present? Is there an underlying logic and method to his approach that, well beyond... View Details
      Keywords: Sean Silverthorne
      • November 2022
      • Article

      Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings

      By: Kristin Blesch, Oliver P. Hauser and Jon M. Jachimowicz
      Prior research has found mixed results on how economic inequality is related to various outcomes. These contradicting findings may in part stem from a predominant focus on the Gini coefficient, which only narrowly captures inequality. Here, we conceptualize the... View Details
      Keywords: Economic Inequalty; Gini Coefficient; Income Inequality; Equality and Inequality; Social Issues; Health; Status and Position
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      Blesch, Kristin, Oliver P. Hauser, and Jon M. Jachimowicz. "Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings." Nature Human Behaviour 6, no. 11 (November 2022): 1525–1536.
      • 09 Jan 2024
      • Blog Post

      Insights From Harvard Business School’s Peek Program

      Peek is an annual online program for current undergraduate students that provides an opportunity to try out the HBS case method of study, join a leadership development discussion, gain an understanding of the career flexibility and... View Details
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