scholarly journals Evaluation of the Financial Performance of the Municipalities in Slovakia in the Context of Multidimensional Statistics

2021 ◽  
Vol 14 (12) ◽  
pp. 570
Author(s):  
Jozef Lukáč ◽  
Katarína Teplická ◽  
Katarína Čulková ◽  
Daniela Hrehová

In some studies, only financial aspects are emphasized, but we also see cases of assessing the financial health of municipalities through socio-economic indicators. Public organizations worldwide have had to increase their financial performance by adopting management practices. Nonetheless, financial performance might be mostly predicted by contingencies that are not within direct managerial control. The purpose of this paper is to identify clusters of municipalities on the basis of agglomerate cluster analysis, the results of which will point to the financial situation of the municipalities in the selected region. The main aim of this contribution is to identify the location of the municipalities of the chosen self-governing region of Slovakia using the clustering method by selected financial indicators. Individual clusters have similar properties and they differ from the characteristics of businesses in other clusters. The results show that organizational and environmental contingencies affect financial performance, but a significant amount of variation in financial performance is unexplained—indicating that management creates better financial health in the municipality and creates a clearer budget for the management, employees, and residents of the municipality.

Author(s):  
Ondrej Stopka ◽  
Ladislav Bartuska ◽  
Jacek Caban ◽  
Larisa M. Kapustina

This paper presents the draft methodology to be applied for evaluating the financial health of airlines. In the introductory part, specific attributes, regarding the individual types of airlines, are described. Subsequent parts of the manuscript outline advantages and disadvantages to measure airlines performance when implementing financial indicators, as well as a general procedure to evaluate the financial situation of a company operating in the aviation industry. The most important part of the paper includes the proposal of the specific functional system to evaluate the economic performance of airlines. Financial evaluation itself (evaluation of financial indicators of the enterprise‘s economic performance) is performed through a particular case study when comparing several existing airlines.


Author(s):  
Jana Pokorná ◽  
Ondřej Částek

The aim of this paper is to find an appropriate method of expressing a company’s performance in order to offer it to researchers for the purpose of subsequent searches for factors affecting corporate competitiveness.Of the possible approaches to performance measuring, and after considering their advantages and limitations, we have chosen long-term financial indicators, Assets Growth and Return on Assets, because each of these indicators represents one of two possible strategies to improve financial performance.This article thus presents the alternatives that are offered for that purpose as well as several means of using selected indicators (cluster analysis, etc.). While verifying the suitability of the various means, we assumed that the better the financial performance is expressed, the higher the accuracy of methods seeking competitiveness factors will be under otherwise similar conditions.We have employed the Sequential Floating Forward Selection (SFFS) as the appropriate factors seeking method, which has already been used for similar types of tasks in other fields. The best results of expressing a company’s performance were achieved using the method of adding the standardized values of both indicators.


Author(s):  
Oldřich Trenz ◽  
Vladimír Konečný

The paper is focused on comparing the classification ability of the model with self-learning neutral network and methods from cluster analysis. The emphasis is particularly on the comparison of different approaches to a specific application example of the commitment, the classification of then financial situation. The aim is to critically evaluate different approaches at the level of application and deployment options.The verify the classification capability of the different approaches were used financial data from the database „Credit Info“, in particular data describing the financial situation of the two hundred eleven farms of homogeneous and uniform primary field.Input data were from the methods used, modified and evaluated by appropriate methodology. Found the final solution showed that the used approaches do not show significant differences, and they can say that they are equivalent. Based on this finding can formulate the conclusion that the approach of artificial intelligence (self-learning neural network) is as effective as a partial methods in the field of cluster analysis. In both cases, these approaches can be an invaluable tool in decision making.When the financial situation is evaluated by the expert, the calculation of liquidity, profitability and other financial indicators are making some simplification. In this respect, neural networks perform better, since these simplifications in them selves are not natively included. They can better assess and somewhat ambiguous cases, including businesses with undefined financial situation, the so-called data in the border region. In this respect, support and representation of the graphical layout of the resulting situation sorted out objects using software implemented neural network model.


2017 ◽  
Vol 13 (1) ◽  
pp. 53 ◽  
Author(s):  
Giovanna Lucianelli ◽  
Francesca Citro ◽  
Serena Santis ◽  
Alfredo Ettore Tranfaglia ◽  
Andrea Mazzillo

The context of austerity and crisis in the local governments has focused on looking for a solution to avoid the distress while also improving financial health. Therefore, a system to monitor the financial situation of local authorities is needed in order to understand what the governments’ proceeding to manage the crisis are. This paper aims to analyse the financial distress in the municipality of Rome to evaluate the processes that occur inside the “black box” of the organizational, institutional and strategic implementation of the reorganization practices and routines, also highlighting what are the indicators of the financial conditions that fall into either a positive or negative area so as to implement adequate planning. The analysis is conducted through an explanatory case study to understand and to explain the reasons for management practices in a condition of financial distress. The main finding shows that the case of Rome represents a good example of the financial resilience through a combination of capacities and reactions such as management of slack resources and income generation.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Michael Murimi ◽  
Billy Wadongo ◽  
Tom Olielo

AbstractThis conceptual paper aims at identifying a theoretical framework for the determinants of revenue management (RM) practices and their impacts on the financial performance of hotels. To create this framework, a two-phased process is employed where the first stage involves an explicit examination of the literature related to practices of revenue management and their determinants and to hotel financial performance. The second stage involves an enhancement of the framework. The theoretical structure is developed based on past theoretical explanations, and empirical analysis is conducted in the fields of revenue management. The researchers propose a theoretical framework illustrating how revenue management practices and their determinants affect the financial performance of Kenyan hotels. The use of contingency theory and its justifications and inadequacies among studies on revenue management in hotels is highlighted. The methods highlighted by the reviewed theoretical framework may be utilized to organize revenue management (RM) practices and their determinants for Kenyan hotels. Measurements for the financial performance of hotels are also described. Last, the researchers call for empirical research that authenticates the proposed model using a cross-sectional survey. The present work can inspire scholars and specialists to determine how RM practices and their determinants impact the financial performance of hotels. By assimilating knowledge from numerous disciplines, this paper emphasizes aggregated awareness surrounding the conceptualization of RM, RM practices adopted in hotels, and the financial performance of hotels.


2008 ◽  
Vol 58 (3) ◽  
pp. 537-547 ◽  
Author(s):  
B. R. Mohapatra ◽  
A. Mazumder

Development of efficient techniques to discriminate the sources of E. coli in aquatic environments is essential to improve the surveillance of fecal pollution indicators, to develop strategies to identify the sources of fecal contamination, and to implement appropriate management practices to minimize gastrointestinal disease transmission. In this study the robustness of five different rep-PCR methods, such as REP-PCR, ERIC-PCR, ERIC2-PCR, BOX-PCR and (GTG)5-PCR were evaluated to discriminate 271 E. coli strains isolated from two watersheds (Lakelse Lake and Okanagan Lake) located in British Columbia, Canada. Cluster analysis of (GTG)5-PCR, BOX-PCR, REP-PCR, ERIC-PCR and ERIC2-PCR profiles of 271 E. coli revealed 43 clusters, 35 clusters, 28 clusters, 23 clusters and 14 clusters, respectively. The discriminant analysis of rep-PCR genomic fingerprints of 271 E. coli isolates yielded an average rate of correct classification (watershed-specific) of 86.8%, 82.3%, 78.4%, 72.6% and 55.8% for (GTG)5-PCR, BOX-PCR, REP-PCR, ERIC-PCR and ERIC2-PCR, respectively. Based on the results of cluster analysis and discriminant function analysis, (GTG)5-PCR was found to be the most robust molecular tool for differentiation of E. coli populations in aquatic environments.


2021 ◽  
Vol 4 (4) ◽  
pp. 201-205
Author(s):  
A. L. GENDON ◽  
◽  
G. F. GOLUBEVA ◽  

The article reveals a system of financial indicators that characterize business processes, accounting for income and expenses according to Russian and international standards. The ways of increasing the efficiency of the company's life activity, in particular, the ways of reducing the cost of production, are considered.


2018 ◽  
Vol 8 (4) ◽  
pp. 65
Author(s):  
Anne Schmitz ◽  
Nieves Villaseñor-Román

In spite of the importance of the brand management in marketing studies and practice, there is a scarcity of prior research on the links between brand equity and financial performance, particularly in unlisted (unquoted) firms. The study contributes to prior research along a number of dimensions. It provides evidence on the relevance of brands for unlisted firms of several industries, by showing that brand equity is associated with financial performance even in non-quoted firms without world-recognized brands. Second, the study analyzes the association between brands and accounting-based measures of performance, across different windows and financial indicators. Finally, the evidence on earnings persistence is particularly relevant, as it potentially sheds light on the existing debate on the association between brand equity and stock markets. To the extent that firms with greater brand equity have more persistent earnings, current earnings contain greater information about future earnings, which show the relevance of brand management in the strategic planning of unlisted firms.


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