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Machine Learning Methods for Strategy Research
16 references·5 citing·47 second hop
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References

  • 1950I.—COMPUTING MACHINERY AND INTELLIGENCE10,274 cited
  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2011Twitter mood predicts the stock market5,204 cited
  • 2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market4,822 cited
  • 1992Growth in Cities4,605 cited
  • 2001The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools3,537 cited
  • 2008Open innovation in SMEs: Trends, motives and management challenges2,185 cited
  • 1999Zipf's Law for Cities: An Explanation2,043 cited
  • 1997Market Segmentation: Conceptual and Methodological Foundations1,866 cited
  • 2001Zipf Distribution of U.S. Firm Sizes1,838 cited
  • 2014Big Data: New Tricks for Econometrics1,574 cited
  • 2010Product Market Synergies and Competition in Mergers and Acquisitions: A Text-Based Analysis1,498 cited
  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients

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881 cited
  • 1999Using genetic algorithms to find technical trading rules855 cited
  • Cited by

    • 2021Do the Ends Justify the Means? Variation in the Distributive and Procedural Fairness of Machine Learning Algorithms79 cited
    • 2016Do Accelerators Accelerate? If So, How? The Impact of Intensive Learning from Others on New Venture Development43 cited
    • 2022Linguistic metrics for patent disclosure: Evidence from university versus corporate patents23 cited
    • 2022InnoVAE: Generative AI for Mapping Patents and Firm Innovation20 cited
    • 2024Content Analysis Using Specific Natural Language Processing Methods for Big Data11 cited