EVALUATION OF THE FINANCIAL HEALTH OF FOOD RETAIL OUTLETS IN A MARKET ENVIRONMENT. A CASE STUDY FROM THE SLOVAK REPUBLIC

dc.contributor.authorHudáková Stašová, Lenka
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2022-09-22T07:58:21Z
dc.date.available2022-09-22T07:58:21Z
dc.description.abstractIn 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.formattext
dc.identifier.doi10.15240/tul/001/2022-3-008
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/166033
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonAlt, 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.isbasedonBuele, 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.isbasedonFenyves, 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.isbasedonGrau, 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.isbasedonHair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis. New York, NY: Macmillan Publishing Company.
dc.relation.isbasedonHan, 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.isbasedonHorváthová, 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.isbasedonHurbánková, 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.isbasedonJencova, 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.isbasedonJenčová, S. (2016). Finančno-ekonomická analýza podnikateľských subjektov [Financial and economic analysis of business entities]. Prešov: BookMan.
dc.relation.isbasedonKnapková, A., & Pavelková, D. (2017). Finanční analýza, komplexní průvodce s příklady [Financial analysis, a comprehensive guide with examples]. Prague: Grada Publishing.
dc.relation.isbasedonMajernik, 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.isbasedonMajková, 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.isbasedonOreský, M., & Rehák, R. (2019). Finančná a ekonomická analýza obchodného podniku [Financial and economic analysis of a business enterprise]. Bratislava: Wolters Kluwer.
dc.relation.isbasedonPenner, J. S. (2016). Economics and Financial Management for Nurse and Nurses (3rd ed.). New York, NY: Springer Publishing Company.
dc.relation.isbasedonRůčková, 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.isbasedonSrebro, 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.isbasedonSvatošová, 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.isbasedonSvatošová, 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.isbasedonTarighi, 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.isbasedonValaskova, 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.isbasedonWang, 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.isbasedonZalai, K. (2016) Finančno-ekonomická analýza podnikov [Financial and economic analysis of companies] (9th ed.). Bratislava: Sprint 2.
dc.relation.isbasedonZielińska-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.isbasedonZielińska-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.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectmulticriterial evaluation methodsen
dc.subjectfood retail storesen
dc.subjectmarket positionen
dc.subject.classificationM21
dc.titleEVALUATION OF THE FINANCIAL HEALTH OF FOOD RETAIL OUTLETS IN A MARKET ENVIRONMENT. A CASE STUDY FROM THE SLOVAK REPUBLICen
dc.typeArticleen
local.accessopen
local.citation.epage141
local.citation.spage122
local.facultyFaculty of Economics
local.filenameEM_3_2022_8
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue3
local.relation.volume25
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