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Publications

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  • All HBS Web  (2,885)
    • News  (476)
    • Research  (2,212)
    • Events  (43)
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  • Faculty Publications  (1,428)

Show Results For

  • All HBS Web  (2,885)
    • News  (476)
    • Research  (2,212)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,428)
← Page 20 of 2,885 Results →
  • 09 Nov 2016
  • News

Blindsided by Trump’s Victory? Behavioral Science Explains

  • October 2022 (Revised December 2022)
  • Case

SMART: AI and Machine Learning for Wildlife Conservation

By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
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Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
  • 23 Aug 2013
  • Working Paper Summaries

Waves in Ship Prices and Investment

Keywords: by Robin Greenwood & Samuel Hanson
  • 2024
  • Working Paper

Pitfalls of Demographic Forecasts of U.S. Elections

By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
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Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.
  • 1994
  • Article

Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism

By: Kevin J. Bozic, J H Keyak, H B Skinner, H U Bueff and David Bradford
Finite element modeling was used to study the mechanical behavior of a cervical vertebra under axial compressive loading. A three-dimensional (3-D) finite element (FE) model of a mid-cervical vertebra using inhomogeneous material properties was generated from... View Details
Keywords: Performance Expectations; Strength and Weakness; Health; Mathematical Methods; Health Industry
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Bozic, Kevin J., J H Keyak, H B Skinner, H U Bueff, and David Bradford. "Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism." Journal of Spinal Disorders & Techniques 7, no. 2 (1994): 102–110.
  • 01 Aug 2011
  • News

Reforming Health Care Systems

  • 26 Nov 2018
  • Working Paper Summaries

Demand Estimation in Models of Imperfect Competition

Keywords: by Alexander MacKay and Nathan H. Miller
  • 2021
  • Book

Why Startups Fail: A New Roadmap for Entrepreneurial Success

By: Thomas R. Eisenmann
Why Startups Fail explores entrepreneurial failure, examining its predictable patterns, how to avoid them, and how to cope when failure does occur. Part I looks at three common failure patterns for early-stage startups, illustrating each with an anchor case... View Details
Keywords: Entrepreneurship; Business Startups; Failure; Success; Framework
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Eisenmann, Thomas R. Why Startups Fail: A New Roadmap for Entrepreneurial Success. New York: Currency, 2021.
  • 09 Jun 2020
  • Working Paper Summaries

Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time

Keywords: by Laura Alfaro, Anusha Chari, Andrew Greenland, and Peter K. Schott
  • 04 Oct 2019
  • Working Paper Summaries

Soul and Machine (Learning)

Keywords: by Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano et al.
  • 2019
  • Article

Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights

By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
Keywords: Analytics and Data Science; Innovation and Invention; Learning
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Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.
  • 2009
  • Working Paper

Stock Price Fragility

By: Robin Greenwood and David Thesmar
We investigate the relationship between ownership structure of financial assets and non-fundamental risk. An asset is fragile if its owners collectively have to buy or sell. Such assets are susceptible to non-fundamental price movements. An asset can be fragile because... View Details
Keywords: Financial Liquidity; Stocks; Price; Market Transactions; Ownership; Risk and Uncertainty; United States
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Greenwood, Robin, and David Thesmar. "Stock Price Fragility." Harvard Business School Working Paper, No. 10-031, October 2009.
  • 08 Nov 2018
  • News

Could Big Data Replace the Creative Director at the Gap?

  • 12 Nov 2013
  • News

Harvard Professors Express Skepticism About Twitter Stock’s Staying Power

  • February 2013
  • Case

Recorded Future: Analyzing Internet Ideas About What Comes Next

Recorded Future is a "big data" startup company that uses Internet data to make predictions about events, people, and entities. The company primarily serves government intelligence agencies, but has some private sector clients and is considering taking on more. The... View Details
Keywords: Big Data; Analytics; Internet; Analytics and Data Science; Internet and the Web; Entrepreneurship; Forecasting and Prediction; Business Startups; Information Technology Industry
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Davenport, Thomas H. "Recorded Future: Analyzing Internet Ideas About What Comes Next." Harvard Business School Case 613-083, February 2013.
  • 03 Oct 2014
  • News

Is the Apple Watch the Next Huge, Medium, or Mini Hit?

  • 12 Oct 2021
  • News

AI Can Bring More Equity To The Workplace And Consumer Markets By Implementing These Conditions

  • 18 Mar 2015
  • News

Did Fear-Mongering Make Ebola's Impact Worse?

  • 27 Feb 2019
  • Working Paper Summaries

Judgment Aggregation in Creative Production: Evidence from the Movie Industry

Keywords: by Hong Luo, Jeffrey T. Macher, and Michael Wahlen; Motion Pictures & Video
  • July 1983 (Revised September 1986)
  • Case

Johnson Wax: Enhance (B)

After the initial ASSESSOR indicated problems in formulation, product position, and advertising copy, Enhance was modified and retested using ASSESSOR. Compares the new results as well as presenting teaching study data. Enhance is well below predicted share. Is the... View Details
Keywords: Product Positioning; Marketing Strategy; Advertising; Product Development; Beauty and Cosmetics Industry
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Clarke, Darral G. "Johnson Wax: Enhance (B)." Harvard Business School Case 584-009, July 1983. (Revised September 1986.)
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