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Key Sustainability Performance Indicator Analysis for Czech Breweries

Author

Listed:
  • Edward Kasem

    (Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic)

  • Oldřich Trenz

    (Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic)

  • Jiří Hřebíček

    (Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic)

  • Oldřich Faldík

    (Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic)

Abstract

Sustainability performance can be said to be an ability of an organization to remain productive over time and hold on to its potential for maintaining long-term profitability. Since the brewery sector is one of the most important and leading markets in the foodstuff industry of the Czech Republic, this study depicts the Czech breweries' formal entry into sustainability reporting and performance. The purpose of this paper is to provide an efficiency level evaluation which would represent the level of corporate performance of Czech breweries. For this reason, Data Envelopment Analysis (DEA) is introduced. In order to apply it, we utilize a set of key performance indicators (KPIs) based on two international standard frameworks: the Global Reporting Initiative (GRI) and its GRI 4 guidelines, and the guideline KPIs for ESG 3.0, which was published by the DVFA Society. Four sustainability dimensions (economic, environmental, social and governance) are covered, making it thus possible to adequately evaluate sustainability performance in Czech breweries. The main output is not only the efficiency score of the company but also the input weights. These weights are used to determine the contribution of particular criteria to the breweries' achieved score. According to the achieved efficiency results for Czech breweries, the percentage of women supervising the company does not affect the sustainability performance.

Suggested Citation

  • Edward Kasem & Oldřich Trenz & Jiří Hřebíček & Oldřich Faldík, 2015. "Key Sustainability Performance Indicator Analysis for Czech Breweries," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 1937-1944.
    • Handle: RePEc:mup:actaun:actaun_2015063061937
    DOI: 10.11118/actaun201563061937
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    References listed on IDEAS

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    1. Wang, Ying-Ming & Chin, Kwai-Sang, 2010. "Some alternative models for DEA cross-efficiency evaluation," International Journal of Production Economics, Elsevier, vol. 128(1), pages 332-338, November.
    2. Jiří Hřebíček & Jana Soukopová & Michael Štencl & Oldřich Trenz, 2011. "Integration of economic, environmental, social and corporate governance performance and reporting in enterprises," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(7), pages 157-166.
    3. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    4. Cisneros, J.M. & Grau, J.B. & Antón, J.M. & de Prada, J.D. & Cantero, A. & Degioanni, A.J., 2011. "Assessing multi-criteria approaches with environmental, economic and social attributes, weights and procedures: A case study in the Pampas, Argentina," Agricultural Water Management, Elsevier, vol. 98(10), pages 1545-1556, August.
    5. Lee, Ki-Hoon & Farzipoor Saen, Reza, 2012. "Measuring corporate sustainability management: A data envelopment analysis approach," International Journal of Production Economics, Elsevier, vol. 140(1), pages 219-226.
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