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Determination of Indicators of Corporate Governance Performance Measurement in the Czech Republic

Author

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  • Marie Dočekalová

    () (Brno University of Technology)

Abstract

Effective Corporate Governance is seen as a key factor in achieving economic performance. This article aims to define key performance indicators (KPIs) of Corporate Governance (CG). Defined indicators in a clear, understandable and measurable way reflect the performance of CG. To meet the objectives of the article, a literature search was performed. Approaches of international organizations (IFAC, DVFA, EABIS and UNCTAD) to measure the performance of CG were analysed. In addition, a questionnaire survey was carried out. The purpose of the questionnaire survey was to describe the current situation and approach of companies to the issue of CG. Based on a synthesis of the knowledge 14 KPIs divided into six areas are proposed: Strategy; Effectiveness of CG; Corruption & anti-competitive behaviour; Involvement in politics & payments to public officials and institutions; Relations with stakeholders; and Compliance.

Suggested Citation

  • Marie Dočekalová, 2013. "Determination of Indicators of Corporate Governance Performance Measurement in the Czech Republic," Acta Universitatis Bohemiae Meridionales, University of South Bohemia in Ceske Budejovice, vol. 16(1), pages 15-23.
  • Handle: RePEc:boh:actaub:v:16:y:2013:i:1:p:15-23
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    More about this item

    Keywords

    Corporate Governance; Czech Republic; Performance of Corporate Governance; Key performance indicators;

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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