Přehled o publikaci
	
		
		
		2021
			
	    
	
	
    Number of Financial Indicators as a Factor of Multi-Criteria Analysis via the TOPSIS Technique: A Municipal Case Study
VAVREK, Roman; Jiří BEČICA; Viera PAPCUNOVÁ; Petra GUNDOVA; Jana MITRIKOVA et. al.Basic information
Original name
Number of Financial Indicators as a Factor of Multi-Criteria Analysis via the TOPSIS Technique: A Municipal Case Study
	Authors
VAVREK, Roman (703 Slovakia, guarantor); Jiří BEČICA (203 Czech Republic); Viera PAPCUNOVÁ (703 Slovakia, belonging to the institution); Petra GUNDOVA and Jana MITRIKOVA
			Edition
 ALGORITHMS, SWITZERLAND, MDPI, 2021, 1999-4893
			Other information
Language
English
		Type of outcome
Article in a journal
		Country of publisher
Switzerland
		Confidentiality degree
is not subject to a state or trade secret
		References:
RIV identification code
RIV/00216224:14560/21:00121253
		Organization
Ekonomicko-správní fakulta – Repository – Repository
			UT WoS
000621978600001
		EID Scopus
2-s2.0-85102700303
		Keywords in English
multi-criteria analysis; TOPSIS; number of indicators; municipalities; financial analysis; Czechia
		
				
				Changed: 13/1/2024 03:23, RNDr. Daniel Jakubík
				
		Abstract
In the original language
Multi-criteria analysis is a decision-making and efficiency assessment tool for application in both the private and public sectors. Its application is preceded by the selection of suitable indicators and a homogenous set of variants, as well as suitable methods based on the nature of the input data. The goal of the submitted research is to highlight the importance of selecting suitable indicators using a case study assessment of the financial health of a municipality-more precisely, the efficiency of management of this municipality. Four key indicators, thirty-two homogenous subjects, and one multi-criteria analysis method were identified in this study based on the theoretical foundations of the specific issue. These elements were processed into a total of 14 variants depending on the number of assessed indicators. Then, these results were subjected to statistical verification alongside verification using the Jaccard index. Based on the acquired results, we highlight the need for correct and expert identification of the relevant sets of alternatives (the criteria matrix) and expert discussion, which should precede the selection of the assessed indicators and objectify this selection process as much as possible. Assessment based on a low number of indicators was shown to be insufficient, highly variable, and diverse, and these differences were partially eliminated as the number of assessed indicators increased.