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Using neutral network analysis to uncover the trace effects of national culture

Author

Listed:
  • John F. Veiga

    (UCONN - University of Connecticut)

  • Michael Lubatkin

    (UCONN - University of Connecticut)

  • Roland Calori

    (EM - EMLyon Business School)

  • Philippe Véry

    (EDHEC - EDHEC Business School - UCL - Université catholique de Lille)

  • Alex Tung

    (UCONN - University of Connecticut)

Abstract

The primary objective of this paper is to demonstrate the usefulness of an artificial intelligence technique known as neural network analysis as an aid to uncovering the underlying patterns, or trace effects, of national culture. To make our case, we provide an application of the technique's pattern recognition capability utilizing survey data from top executives in French and British firms. We conclude by interpreting the trace effects found and encouraging the use of this tool by cross-cultural researchers in the future.

Suggested Citation

  • John F. Veiga & Michael Lubatkin & Roland Calori & Philippe Véry & Alex Tung, 2000. "Using neutral network analysis to uncover the trace effects of national culture," Post-Print hal-02311647, HAL.
    • Handle: RePEc:hal:journl:hal-02311647
    DOI: 10.1057/palgrave.jibs.8490903
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    Cited by:

    1. Messner, Wolfgang, 2022. "Advancing our understanding of cultural heterogeneity with unsupervised machine learning," Journal of International Management, Elsevier, vol. 28(2).
    2. Jesús Manuel De Sancha-Navarro & Juan Lara-Rubio & María Dolores Oliver-Alfonso & Luis Palma-Martos, 2021. "Cultural Sustainability in University Students’ Flamenco Music Event Attendance: A Neural Networks Approach," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    3. Brouthers, Lance Eliot & Mukhopadhyay, Somnath & Wilkinson, Timothy J. & Brouthers, Keith D., 2009. "International market selection and subsidiary performance: A neural network approach," Journal of World Business, Elsevier, vol. 44(3), pages 262-273, July.
    4. Stavrou, Eleni T. & Charalambous, Christakis & Spiliotis, Stelios, 2007. "Human resource management and performance: A neural network analysis," European Journal of Operational Research, Elsevier, vol. 181(1), pages 453-467, August.
    5. Hu, Michael Y. & Zhang, G. Peter & Chen, Haiyang, 2004. "Modeling foreign equity control in Sino-foreign joint ventures with neural networks," European Journal of Operational Research, Elsevier, vol. 159(3), pages 729-740, December.

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