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dc.contributor.author Hudáková Stašová, Lenka
dc.contributor.other Ekonomická fakulta cs
dc.date.accessioned 2022-09-22T07:58:21Z
dc.date.available 2022-09-22T07:58:21Z
dc.identifier.issn 1212-3609
dc.identifier.uri https://dspace.tul.cz/handle/15240/166033
dc.description.abstract In this paper, food retail stores are evaluated. The aim of the survey is analysis of their financial health using appropriate statistical methods, to analyse the market position of businesses, to identify weaknesses in businesses that may contribute to a poor financial situation, to compare the results obtained and to submit proposals to improve the current financial health of businesses. The analysed sample is made up of a selection of 50 Slovak businesses. The companies operate in the same economic and political system, with similar monetary, customs, tax policy from the government. 4 ratio-based financial analysis indicators were selected as representative (return on assets, return on sales, debt ratio, equity ratio). Multicriterial evaluation methods were used to research the position of businesses on the market (the simple unweighted rank method, the fictional point method, the standardized variable method, the scoring method). We showed the correlations of the methods using Spearman’s rank correlation coefficient. We found the highest correlation in values between the scoring method and the distance from the fictional point method. However, in all cases, by statistical calculation, we found that there is a strong statistically proven relationship between all the methods used. The degree of indebtedness of a business significantly affects its financial health and the structure of the finances. The lowest value for the debt ratio in the monitored sample of businesses is 12.5%. In the group of the worst performing companies, the debt ratio climbed far above the recommended values of 50–70%. The extreme value was a debt ratio as high as 106.3%. We consider the proposals we present to be universal, applicable in other countries in the given sector. en
dc.format text
dc.language.iso en
dc.publisher Technická Univerzita v Liberci cs
dc.publisher Technical university of Liberec, Czech Republic en
dc.relation.ispartof Ekonomie a Management cs
dc.relation.ispartof Economics and Management en
dc.relation.isbasedon Alt, M. A., Berezvai, Z., & Agárdi, I. (2020). Harmony-oriented retail innovations and financial performance. European Journal of Innovation Management, 24(4), 1379–1399. https://doi.org/10.1108/EJIM-04-2020-0145
dc.relation.isbasedon Buele, I., Mora, A., & Santiago, S. (2021). Ecuadorian Wholesale and Retail Trade Companies: Analysis of the Financial Situation and Bankruptcy Forecast under Altman Z-score. Academy of Accounting and Financial Studies Journal, 25(1), 1–11.
dc.relation.isbasedon Fenyves, V., & Tarnóczi, T. (2020). Data envelopment analysis for measuring performance in a competitive market. Problems and Perspectives in Management, 18(1), 315–325. https://doi.org/10.21511/ppm.18(1).2020.27
dc.relation.isbasedon Grau, A., & Reig, A. (2021). Operating leverage and profitability of SMEs: agri-food industry in Europe. Small Business Economics, 57(1), 221–242. https://doi.org/10.1007/s11187-019-00294-y
dc.relation.isbasedon Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis. New York, NY: Macmillan Publishing Company.
dc.relation.isbasedon Han, D., Wang, S., & Ping, A. (2021). Profit Prediction Based on Management Discussion and Analysis of Annual Report of Listed Companies. In Proceeding from the ICIMTECH 21: The Sixth International Conference on Information Management and Technology (pp. 1–8). https://doi.org/10.1145/3465631.3465724
dc.relation.isbasedon Horváthová, J., Mokrišová, M., & Petruška, I. (2021). Selected Methods of Predicting Financial Health of Companies: Neural Networks Versus Discriminant Analysis. Information, 12(12), 505. https://doi.org/10.3390/info12120505
dc.relation.isbasedon Hurbánková, Ľ. (2019). Analysis of Slovakia Regions on the Basis of Living Indicators. In Proceedings from the International Scientific Conference ECONOMIC AND SOCIAL POLICY: Economic and Social Challenges for European Economy (pp. 247–260). Ostrava: PRIGO University. Retrieved from https://sekarl.euba.sk/arl-eu/sk/csg/?repo=eurepo&key=99289555350
dc.relation.isbasedon Jencova, S., Petruska, I., & Lukacova, M. (2021). Relationship between ROA and Total Indebtedness by Threshold Regression Model. Montenegrin Journal of Economics, 17(2), 37–46. https://doi.org/10.14254/1800-5845/2021.17-2.3
dc.relation.isbasedon Jenčová, S. (2016). Finančno-ekonomická analýza podnikateľských subjektov [Financial and economic analysis of business entities]. Prešov: BookMan.
dc.relation.isbasedon Knapková, A., & Pavelková, D. (2017). Finanční analýza, komplexní průvodce s příklady [Financial analysis, a comprehensive guide with examples]. Prague: Grada Publishing.
dc.relation.isbasedon Majernik, M., Majernik, S., Rusko, M., Ilko, J., Kollar, V., & Kralikova, R. (2020). Management with application of the financial analysis in the food industry in Slovakia. In Proceedings of the 31st DAAAM International Symposium on Intelligent Manufacturing and Automation (pp. 0348–0355). https://doi.org/10.2507/31st.daaam.proceedings.049
dc.relation.isbasedon Majková, M. (2008). Možnosti financovania malých a stredných podnikov v SR [Financing options for small and medium-sized enterprises in the Slovak Republic]. Bratislava: Tribún.
dc.relation.isbasedon Oreský, M., & Rehák, R. (2019). Finančná a ekonomická analýza obchodného podniku [Financial and economic analysis of a business enterprise]. Bratislava: Wolters Kluwer.
dc.relation.isbasedon Penner, J. S. (2016). Economics and Financial Management for Nurse and Nurses (3rd ed.). New York, NY: Springer Publishing Company.
dc.relation.isbasedon Růčková, P., & Škuláňová, N. (2021). The determination of financial structure in agriculture, forestry and fishing industry in selected countries of Central and Eastern Europe. E&M Economics and Management, 24(3), 58–78, https://doi.org/10.15240/TUL/001/2021-03-004
dc.relation.isbasedon Srebro, B., Mavrenski, B., Arsić, V. B., Knežević, S., Milašinović, M., & Travica, J. (2021). Bankruptcy Risk Prediction in Ensuring the Sustainable Operation of Agriculture Companies. Sustainability, 13(14), 7712. https://doi.org/10.3390/su13147712
dc.relation.isbasedon Svatošová, V. (2021). Hodnocení současného ekonomického vývoje cukrovarnických podniků v České republice [Current economic development of sugar companies in Czech Republic]. Listy Cukrovarnické a Řepařské, 137(2), 73–78.
dc.relation.isbasedon Svatošová, V. (2022). Vybrané bankrotní modely cukrovarnických společností v České republice [Selected bankruptcy models of sugar companies in Czech Republic]. Listy Cukrovarnické a Řepařské, 138(1), 25–31.
dc.relation.isbasedon Tarighi, H., Appolloni, A., Shirzad, A., & Azad, A. (2022). Corporate Social Responsibility Disclosure (CSRD) and Financial Distressed Risk (FDR): Does Institutional Ownership Matter? Sustainability, 14(2), 742. https://doi.org/10.3390/su14020742
dc.relation.isbasedon Valaskova, K., Kliestik, T., & Gajdosikova, D. (2021). Distinctive determinants of financial indebtedness: Evidence from Slovak and Czech enterprises. Equilibrium. Quarterly Journal of Economics and Economic Policy, 16(3), 639–659. https://doi.org/10.24136/eq.2021.023
dc.relation.isbasedon Wang, X., Luo, X., & Hu, Y. (2021). Enterprise Accounting and Financial Risk Analysis System Based on Decision Tree and SVM. In Proceeding ICISCAE 2021: 2021 4th International Conference on Information Systems and Computer Aided Education (pp. 2015–2018). https://doi.org/10.1145/3482632.3484089
dc.relation.isbasedon Zalai, K. (2016) Finančno-ekonomická analýza podnikov [Financial and economic analysis of companies] (9th ed.). Bratislava: Sprint 2.
dc.relation.isbasedon Zielińska-Chmielewska, A., Kaźmierczyk, J., & Jaźwiński, I. (2022). Quantitative Research on Profitability Measures in the Polish Meat and Poultry Industries. Agronomy, 12(1), 92. https://doi.org/10.3390/agronomy12010092
dc.relation.isbasedon Zielińska-Chmielewska, A., Mruk-Tomczak, D., & Wielicka-Regulska, A. (2021). Qualitative Research on Solving Difficulties in Maintaining Continuity of Food Supply Chain on the Meat Market during the COVID-19 Pandemic. Energies, 14(18), 5634. https://doi.org/10.3390/en14185634
dc.rights CC BY-NC
dc.subject multicriterial evaluation methods en
dc.subject food retail stores en
dc.subject market position en
dc.subject.classification M21
dc.type Article en
dc.publisher.abbreviation TUL
dc.relation.isrefereed true
dc.identifier.doi 10.15240/tul/001/2022-3-008
dc.identifier.eissn 2336-5604
local.relation.volume 25
local.relation.issue 3
local.relation.abbreviation E+M cs
local.relation.abbreviation E&M en
local.faculty Faculty of Economics
local.citation.spage 122
local.citation.epage 141
local.access open
local.fulltext yes
local.filename EM_3_2022_8

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