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Csr In The Czech Republic Through The Lens Of High Dimensional Data Analysis

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  • Xhesilda Vogli

Abstract

This study analyses the websites of one thousand worldwide companies that operate currently in the Czech Republic focusing on headings that relate to corporate social responsibility. All data was collected from websites of companies in the Czech Republic where common language was analyzed with a machine learning algorithm converting the result into a proper dataset for graph theory using high dimension data analysis. The purpose of this research paper is to identify the common terminology used for CSR and determine if factors such as company size or industry affect the interpretation of CSR. The paper provides visibility of the current understanding of CSR in companies that operate in the Czech Republic. The findings of this work can be used to develop further frameworks and management strategies in order to better communicate CSR initiatives to stakeholders being those external or internal.

Suggested Citation

  • Xhesilda Vogli, 2021. "Csr In The Czech Republic Through The Lens Of High Dimensional Data Analysis," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 15(1), pages 440-451.
    • Handle: RePEc:isp:journl:v:15:y:2021:i:1:p:440-451
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    References listed on IDEAS

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    1. Luigi Zingales, 2000. "In Search of New Foundations," Journal of Finance, American Finance Association, vol. 55(4), pages 1623-1653, August.
    2. Falk, Armin & Fehr, Ernst & Fischbacher, Urs, 2008. "Testing theories of fairness--Intentions matter," Games and Economic Behavior, Elsevier, vol. 62(1), pages 287-303, January.
    3. Eilbirt, Henry & Parket, I. Robert, 1973. "The practice of business : The current status of corporate social responsibility," Business Horizons, Elsevier, vol. 16(4), pages 5-14, August.
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