Acta Univ. Agric. Silvic. Mendelianae Brun. 2011, 59(7), 69-80 | DOI: 10.11118/actaun201159070069

The factors affecting competitiveness of companies: contribution and limits of the statistical pattern recognition methods

Ladislav Blažek1, Pavel Pudil2, Jiří Špalek3
1 Katedra podnikového hospodářství, Ekonomicko-správní fakulta, Masarykova univerzita, Lipová 41a, 602 00 Brno, Česká republika
2 Společná laboratoř SALOME, Fakulta managementu, Vysoká škola ekonomická, Jarošovská 1117/II, 377 01 Jindřichův Hradec, Česká republika
3 Katedra veřejné ekonomie, Ekonomicko-správní fakulta, Masarykova univerzita, Lipová 41a, 602 00 Brno, Česká republika

The paper elaborates the methodical side of empirical research of factors influencing the economic success of companies. The analysis is based on the selective sample of more than 400 stock listed (share holding) companies and limited partnerships located in the Czech Republic. The main goal of the research is to verify, methodically and theoretically, the hypothesis that there is significant mutual dependency between certain types of economic success of companies and a certain typical configuration of values of selected characteristics which describe these companies. The paper concentrates on an analysis of applying the statistical pattern recognition methodology in the course of verifying this hypothesis. Our analysis confirms the potential gains connected with the method. Within the sample we identified group of potential factors of competitiveness which can characterize the interdependence between competitiveness and economic performance.

Keywords: statistical pattern recognition, business economics, economic success, financial performance, empirical research
Grants and funding:

This paper was prepared in context to research activities of the Center for Research of Economic Competitiveness of the Czech Republic, that was established and operates with the support of MŠMT 1M0524 project.

Received: May 11, 2011; Published: January 26, 2014  Show citation

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Blažek, L., Pudil, P., & Špalek, J. (2011). The factors affecting competitiveness of companies: contribution and limits of the statistical pattern recognition methods. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 59(7), 69-80. doi: 10.11118/actaun201159070069
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    References

    1. BELLMAN, R. E., 1957: Dynamic Programming. Princeton University Press, Princeton, NJ. Republished 2003: Dover, ISBN 0486428095.
    2. BERMAN, S. L., WICKS, A. C., KOTHA, S., JONES, T. M., 1999: Does stakeholder orientation matter? The relationship between stakeholder management models and firm financial performance. Academy of Management Journal, 1999, Vol. 42 No. 5, p. 488-506. DOI: 10.2307/256972 Go to original source...
    3. BLAŽEK, L. a kol., 2008: Konkurenční schopnost podniků. Analýza faktorů hospodářské úspěšnosti. Brno: Masarykova univerzita, 2008. ISBN 978-80-210-4734-1.
    4. BLAŽEK, L., ČÁSTEK, O., 2009: Stakeholder approach and the corporate financial performance. Národohospodářský obzor, IX., 2, p. 91-106. Go to original source...
    5. ČÁSTEK, O., 2010: Využití stakeholderského přístupu při strategické analýze podniku. 1. vyd. Brno: Masarykova univerzita, 2010. 242 s. ISBN 978-80-210-5411-0.
    6. DUDA, R. O., HART, P. E., STORK, D. G., 2000: Pattern classification. 2nd Edition. New York: A Wiley Interscience, 2000. 654 p. ISBN 0-471-05669.
    7. JAIN, A. K., CHANDRASEKAR, B., 1982: Dimensionality and sample size considerations in pattern recognition practice. Handbook of Statistics. Amsterdam: P. R. Krishnaiah and L. N. Kanal, 1982, Vol. 2., p. 835-855. Go to original source...
    8. JAIN, A. K., DUIN, R. P. W., MAO, J., 2000: Statistical pattern recognition: A review. IEEE Transanctions on Pattern Analysis and Machine Intelligence, 2000, Vol. 22, No. 1, p. 4-37. DOI: 10.1109/34.824819 Go to original source...
    9. KOHAVI, R., JOHN, G. H., 1997: Wrappers for feature subset selection. Artificial Inteligence, 1997 No. 1-2, p. 273-324. DOI: 10.1016/S0004-3702(97)00043-X Go to original source...
    10. MITCHELL, R. K., AGLE, B. R., WOOD, D. J., 1997: Toward a theory of stakeholder identification and salience: Defining the principle of who and what really counts. Academy of Management Review, October 1997, Vol. 22, No. 4, p. 853-886. DOI: 10.5465/amr.1997.9711022105 Go to original source...
    11. PUDIL, P., NOVOVIČOVÁ, J., KITTLER, J., 1994: Floating Search Methods in Feature Selection. Pattern Recognition Letters, 1994, Vol. 15, s. 1119-1125. DOI: 10.1016/0167-8655(94)90127-9 Go to original source...
    12. PUDIL, P., PIROŽEK, P., SOMOL, P., 2002: Selection of Most Informative Factors in Merger and Acquisition Process by Means of Pattern Recognition. Signal Processing, Pattern Recognition, and Applicatio, IASTED, ACTA Press, 2002, s. 224-229. ISBN 0-88986-338-5.
    13. PUDIL, P., PIROŽEK, P., SOMOL, P., 2000: Výběr nejinformativnějších faktorů při akvizici podniků pomocí metod rozpoznávání obrazů. Acta Oeconomica Pragensia, 2000, roč. 8(2), s. 143-159.
    14. SOMOL, P., BAESENS, B., PUDIL, P., VANTIHIENEN, J., 2005: Filter- versus wrapper-based feature selection for credit scoring. International Journal of Intelligent Systems, 2005, Vol. 20, No. 10, s. 985-999. DOI: 10.1002/int.20103 Go to original source...
    15. SOMOL, P., PUDIL, P., 2000: Oscillating search algorithms for feature selection. Proceedings of the 15th International Conference on Pattern Recognition. IEEE Computer Society, Los Alamitos, 2000, s. 406-409.
    16. SOMOL, P., PUDIL, P., KITTLER, J., 2004: Fast Branch & Bound algorithms for optimal feature selection, IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 26, No. 7 (2004), p. 900-912. DOI: 10.1109/TPAMI.2004.28 Go to original source...
    17. SOMOL, P., NOVOVIČOVÁ, J., PUDIL, P., 2008: Are Better Feature Selection Methods Actually Better? Discussion, Reasoning and Examples, Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies -BIOSTEC 2008, International Conference on Health Informatics, (Funchal Madeira, Portugal, (2008).
    18. SOMOL, P., NOVOVIČOVÁ, J., GRIM, J., PUDIL, P., 2008: Dynamic Oscillating Search Algorithm for Feature Selection, ICPR 2008 Proceedings (Int. Conf. on Pattern Recognition 2008, Tampa, Florida, US, 2008). Go to original source...
    19. ŠIŠKA, L., 2007: Analýza finanční výkonnosti respondentů empirického šetření CVKS. Working Paper 10/2008. Brno: Masarykova univerzita, Centrum výzkumu konkurenční schopnosti české ekonomiky, 2007, č. 10, 34 s. ISSN 1801-4496.
    20. ŠPALEK, J., ČÁSTEK, O., 2010: Přínos učících se metod statistického rozpoznávání obrazů při hledání faktorů konkurenceschopnosti českých podniků. Ekonomický časopis/Journal of Economics, 58, 9, s. 922-937.
    21. ŠPALEK, J., 2008: Metodický postup definování proměnných. In: BLAŽEK, L. Konkurenční schopnost podniků (Analýza faktorů hospodářské úspěšnosti). 1. ed. Brno: Masaryk University, 2008. p. 31-40.
    22. THEODORIDIS, S., KOUTROUMBAS, K., 2006: Pattern Recognition. 3rd edition. USA: Academic Press, 2006. ISBN 0126858756.

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