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Research background: The managers have a key position in process of management risk. The managers are able to implement the risk management process in the companies with an emphasis on preventing the company crises using the appropriate methods and tools for the early identification of the changes if the entrepreneurial environment develops negatively. Does a manager have enough knowledge and awareness about the potential risk sources in company?
Purpose of the article: The essence of this article is to assess the sources of the market, economic, financial, operational, HR, security and legal risk depending on the rate of implementing the risk management process in the small and medium-sized enterprises (SMEs).
Methods: We realized the risk assessment process on the basis of evaluations by 487 man-agers who gave their opinions to selected risks and their sources in the SMEs in Slovakia. Subsequently, we utilized the methods and tools of the mathematical statistics (descriptive statistics, comparison, Z-score for 2 population proportions, Chi-squared test for 5 x 2 contingency table).
Findings & Value added: The strongest dependence perceived by the SME-entrepreneurs lies between the development of the tax and insurance burdens as the source of the economic risk and the criterion of the “level of the risk management in the company”. The overall results of the empirical research underline the significance and importance of dealing with the assessment of the key risks and their sources in the Slovak SMEs. The results having been processed are the basic material for the professional public and other organizations whose effort is to help the companies in an effective implementation of the risk management process in the Slovak enterprises.
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Altman, E. I., Iwanicz-Drozdowska, M., Laitinen, E. K., & Suvas, A. (2017). Financial distress prediction in an international context: a review and empirical analysis of altman's Z-score model. Journal of International Financial Management and Accounting, 28(2). doi: 10.1111/jifm.12053.
Balcaen, S., & Ooghe, H. (2006). 35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems. British Accounting Review, 38(1). doi: 10.1016/j.bar.2005.09.001.
Celep, M., Stasiukynas, A., Kotaskova, A., & Dvorsky, J. (2018). Business environment quality index in the SME segment. Journal of Competitiveness, 10(2). doi: 10.7441/joc.2018.02.02.
Belas, J., Smrcka, L., Gavurova, B., & Dvorsky, J. (2018). The impact of social and economic factors in the credit risk management of SME. Technological and Economic Development of Economy, 24(3). doi: 10.3846/tede.2018.1968.
Bogodistov, Y., & Wohlgemuth, V. (2017). Enterprise risk management: a capability-based perspective. Journal of risk finance, 18(3). doi: 10.1108/JRF-10-2016-0131.
Brachert, M., Hyll, W., & Titze, M. (2017). On the simultaneity bias in the relationship between risk attitudes, entry into entrepreneurship and entrepreneurial survival, Applied Economics Letters, 24(7). doi: 10.1080/13504851.2016.1203 056.
Carr, J. B., Hawkins, C. V., & Westberg, D. E. (2017). An exploration of collaboration risk in joint ventures: perceptions of risk by local economic development officials. Economic Development Quarterly, 31(3). doi: 10.1177/08912424177 10325.
Cettolin, E., Riedl, A., & Tran, G. (2017). Giving in the face of risk. Journal of Risk and Uncertainty, 55(2-3). doi: 10.1007/s11166-017-9270-2.
Enterprise risk management initiative. North Carolina State University´s ERM Initiative (2017). Report on the current state of enterprise risk oversight: update on trends and opportunities 2015. Retrieved form http://erm.ncsu.edu/library/article/current-state-erm-2015 (08.02.2018).
FERMA (2017). European risk and insurance report. Executive summary of the FERMA, risk management benchmarking survey. Retrieved form http://www.ferma.eu/risk-management/.
Fraser, J. R. S., & Simkins, B. J. (2016). The challenges of and solutions for implementing enterprise risk management. Business Horizons, 59(6). doi: 10.1016/j.bushor.2016.06.007.
Gates, S., Nicolas, J. L., & Walker, P. L. (2012). Enterprise risk management: a process for enhanced management and improved performance. Management Accounting Quarterly, 13(3).
Global management accountant - global state of enterprise risk oversight (2017). Retrieved form http://erm.ncsu.edu/library/research-report/cgma-report-on-the-global-state-of-enterprise-risk-oversight.
Global risk management survey. Operating in the new normal: increased regulation and heightened expectations (2018). Retrieved form https://www2.deloitte.com/content/dam/Deloitte/ru/Documents/financial-servi ces/ru-global-risk-management-survey-9th-edition.pdf.
Godfrey, L. G. (2005). Controlling the overall significance level of a battery of least squares diagnostic tests. Oxford Bulletin of Economics and Statistics, 67(2). doi: 10.1111/j.1468-0084.2004.00119.x.
Havko, J., Klucka, J., & Haviernikova, K. (2016). Risk management in cluster´s cooperation in Slovak republic. In 3rd international multidisciplinary scientific conference on social sciences and arts. Albena.
Hudáková, M., Dvorský, J., Lusková, M., & Schönfeld, J. (2017). The market risk analysis and methodology of its more effective management in SMEs in the Slovak Republic. Montenegrin Journal of Economics, 13(2). doi: 10.14254/ 1800-5845/2017.13-2.10.
Hudáková, M., & Lusková, M. (2016). Global environment impacts on enterprise risk management. In Globalization and its socio-economic consequences: 16th international scientific conference. Zilina: ZU - University of Zilina.
Jones, G., & Lubinski, C. (2012). Managing political risk in global business: Beiersdorf 1914-1990. Enterprise and Society, 13(1). doi: 10.1093/es/khr051.
Ključnikov, A., Kozubíková, L., Sopková, G. (2017). The payment discipline of small and medium-sized enterprises. Journal of Competitiveness, 9(2), doi: 10.7441/joc.2017.02.04.
Kozlova, O., Makarova, M., & Mingaleva, Z. (2016). Corporative social responsibility as a factor of reducing the occupational health risk of personnel. International Journal of Applied Business and Economic Research, 14(14).
Kristoufek, L. (2018). Fractality in market risk structure: Dow Jones industrial components case. Chaos, Solitons and Fractals, 110. doi: doi: 10.1016/j.chaos. 2018.02.028.
Lancaster, H. O., & Hamdan, M. A. (1964). Estimation of the correlation coefficient in contingency tables with possibly nonmetrical characters. Psychometrika, 29(4). doi: 10.1007/BF02289604.
Lazányi, K., Virglerová, Z., Dvorský, J., & Dapkus, R. (2017). An analysis of factors related to “taking risks”, according to selected socio-demographic factors. Acta Polytechnica Hungarica, 14(7). doi: 10.12700/APH.14.7.2017.7.3.
Li, L., & Moosa, I. (2015). Operational risk, the legal system and governance indicators: a country-level analysis. Applied Economics, 47(20). doi: 10.1016/j.ijpe.2016.09.018.
Mayadunne, S., & Park, S. (2016). An economic model to evaluate information security investment of risk-taking small and medium enterprises. International Journal of Production Economics, 182. doi: 10.1016/j.ijpe.2016.09.018.
McNulty, J. E., & Akhigbe, A. (2017). What do a bank's legal expenses reveal about its internal controls and operational risk? Journal of Financial Stability, 30. doi: 10.1016/j.jfs.2016.10.001.
Meluzín, T., Pietrzak, M. B., Balcerzak, A. P., Zinecker, M., Doubravský, K., & Dohnal, M. (2017). Rumours related to political instability and their impact on IPOs: the use of qualitative modeling with incomplete knowledge. Polish Journal of Management Studies, 16 (2). doi: 10.17512/pjms.2017.16.2.15.
Meluzín, T., Balcerzak, A. P., Pietrzak, M. B., Zinecker, M., & Doubravský, K. (2018a). The impact of rumours related to political and macroeconomic uncertainty on IPO success: evidence from a qualitative model. Transformations in Business & Economics, 17 2(44).
Meluzín, T., Zinecker, M., Balcerzak, A. P., Doubravský, K., Pietrzak, M. B., & Dohnal, M. (2018b). The timing of initial public offerings – non-numerical model based on qualitative trends. Journal of Business Economics and Management, 19(1). doi: 10.3846/jbem.2018.1539.
Mirkin, B. (2001). Eleven ways to look at the chi-squared coefficient for contingency tables. American Statistician, 55(2). doi: 10.1198/0003130017 50358428.
Sira, E., Vozarova Kravcakova, I., & Radvanska, K. (2016). Using of risk management at small and medium-sized companies in the Slovak Republic. Economic annals-XXI, 156(1-2). doi: 10.21003/ea.V156-0016.
The American Institute of CPAs (Certified_Public_Accountants) (2017). Retrieved form http://www.aicpa.org/Pages/default.aspx.
Tsai, C., Lee, C., & Yang, W. (2008). A discretization algorithm based on class-attribute contingency coefficient. Information Sciences, 178(3). doi: 10.1016/j .ins.2007.09.004.
Zimon, D. (2017). The influence of quality management systems for improvement of logistics supply in Poland. Oeconomia Copernicana, 8(4). doi: 10.24136/oc. v8i4.39.