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The Use of Data Envelopment Analysis in the Research on Service Quality, with Special Regard to the Banking Sector

100%
Kudla J.
Ekonomia. Rynek, Gospodarka, Społeczeństwo
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2003
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issue 11
46-63
EN
According to propositions put forward by the scientists and practicians, the quality of services is supposed to influence the financial performance. However, this relationship requires empirical verification consisting not only of confirmation of the existence of such a relationship but also of defining its strength and the factors (dimensions) permitting to achieve both a proper level of the service quality and the financial effectiveness. The objective of the paper is to make a world-wide review of the most interesting investigations that have used non-parametric methods (in the first place the Data Envelopment Analysis) for quantitative measurement of the quality of financial services and their impact on the effectiveness. The application of non-parametric methods covers all kinds of research, from the most simple input of variables representing the quality of financial services into the operating efficiency analyses up to the input-output models referring to the quality efficiency alone. Apart from publications using data from banking institutions, the paper also covers the investigations that have used non-parametric methods in other sectors of services, but can easily be adapted to the conditions typical of the financial services.
2

HODNOTENIE TECHNICKEJ EFEKTÍVNOSTI NEMOCNÍC A ODMEŇOVANIE ZDRAVOTNÍKOV

51%
Novosadová I., Dlouhý M.
Ekonomický časopis (Journal of Economics)
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2007
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vol. 55
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issue 8
763-792
EN
Evaluation of efficiency in the health care sector is an important topic of public policy. This paper analyzes technical efficiency of 119 Czech hospitals in 2005 by data envelopment analysis (DEA). DEA is a method based on the production theory and the mathematical programming that specifies the production frontier as the most pessimistic piecewise linear envelopment of the data. We analyze the sample with the input-oriented constant-returns-to-scale model (the CCR-I model) and the input-oriented variable-returns-to-scale model (the BCC-I model). For an inefficient hospital, the method determines the sources of inefficiency and corresponding target values. We found no strong correlation between technical efficiency and wages of health personnel.
3

Data Envelopment Analysis – A Key to the Museums’ ‘Secret Chamber’ of Marketing? Source: Communication Today

51%
LUKÁČ M., MIHÁLIK J.
Communication Today
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2018
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vol. 9
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issue 2
106–117
EN
Intensive financial investments in marketing communication of museums are connected, in parallel, to their visual presentation as well as to strengthening the communication efficiency toward public. However, the unresolved question remains whether these finances are spent effectively or rather whether the communication strategy plan attracts the adequate target audience. How many visitors did react to a given campaign? Unfortunately, there is no single and definite answer on how to measure the efficiency of marketing communication in museums. The aim of the study is to use the Data Envelopment Analysis method to introduce a model for helpful assessment of the marketing communication efficiency within museums. While searching for the solution, we were inspired by the production economics, from which we chose the statistical method of Data Envelopment Analysis. This allowed us to evaluate the efficiency of production units and also to identify inefficiencies. In the public and non-profit sector, this methodological approach appears very rarely, and according to our findings, it has not been applied yet in the museum sphere in Slovakia.
4

USING THE DEA METHOD TO OPTIMIZE THE NUMBER OF BEDS IN THE SLOVAK HOSPITAL SECTOR

51%
Kališ R., Stracová E.
Ekonomický časopis (Journal of Economics)
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2019
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vol. 67
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issue 7
725 – 742
EN
The Slovak hospital sector is characterized by overcapacity in the total number of beds due to inherited infrastructure. In this paper, we use the Data Envelopment Analysis technique to optimize the number of beds for 62 Slovak hospitals. Models with variable and constant returns to scale are used. Moreover, our models account for the quality of hospital care as well as the long-standing problem of a low number of medical staff. Based on the calculated technical efficiency, the number of beds could be decreased by 20% to 33% while keeping other variables constant at current levels. A reduction of up to 10% in the total number of beds would be satisfactory in roughly 30% of all hospitals.
5
Content available remote

Methods of Operational Efficiency Analysis of Retail Bank Branches

51%
Sikora D., Kulczycki A.
Ekonomia. Rynek, Gospodarka, Społeczeństwo
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2005
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issue 17
61-89
EN
The purpose of this article is to investigate, from the empirical side, whether the selection of a method of assessment of bank branches operational performance determines the results. For this purpose the theoretical model was constructed exposing the definition of operational efficiency and the approach to its measuring. The authors focus on three standard methods of efficiency analysis: Data Envelopment Analysis (DEA), Stochastic Frontiers (SF) and Corrected Least Squares Method (COLS). The empirical research was carried out with the use of the data for one of the largest Polish retail banks covering 37 bank branches during the first half of 2005. The selection of variables included number of operations, financial and non-financial inputs such as number of employees, space, number of ATMs, etc. The results generated by SF and COLS procedures were similar and differed significantly from DEA results. On the basis of structure analysis it appeared that DEA method tended to overvalue the efficiency of the small branches, which leads to statistically significant differences between the results.
6

IMPORTANCE OF IMPLEMENTING ENVIRONMENTAL VARIABLES IN THE PROCESS OF ASSESSMENT OF HEALTHCARE EFFICIENCY THROUGH DEA

51%
Kočišová K., Gavurová B., Behun M.
Ekonomický časopis (Journal of Economics)
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2019
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vol. 67
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issue 4
367 – 387
EN
In this paper, the regional efficiency of healthcare facilities in Slovakia is measured (2008 – 2015) using a Data Envelopment Analysis (DEA). The window DEA was chosen since it leads to increased differentiation of results, especially when applied to small samples, and it enables year-by-year comparisons of the results. Two inputs (number of beds, number of medical staff) and two outputs (use of beds, average nursing time) were chosen as variables in output-oriented 4-year window DEA model for the assessment of technical efficiency in 8 Slovak regions. As the regional efficiency is driven by natural, historical, macro-economic and political conditions, in the next stage the impact of environmental factors on efficiency is examined. The results have confirmed that the public costs, private costs, departments, higher education, population over 65, life expectancy, wage costs, population size and income inequality indicator s80/s20 are statistically significant and therefore affect the efficiency of healthcare facilities in Slovakia.
7

EFFICIENCY CHANGE OF BANKING SECTORS AND BANKS IN THE FINANCIAL CONGLOMERATES IN VISEGRAD GROUP COUNTRIES

44%
Palečková I.
Ekonomický časopis (Journal of Economics)
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2017
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vol. 65
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issue 1
79 – 92
EN
The objective of this paper is to estimate the efficiency change in the banking sectors of the group of Visegrad countries during the 2009 – 2013 period and to determine whether banks that belong to a financial conglomerate are more or less efficient than other banks in the sector. We used Data Envelopment Analysis and the Malmquist index to analyse the banking efficiency. The positive efficiency change during the 2009 – 2013 periods was primarily due to innovation, superior management and technological growth. There were differences in banks in the financial conglomerates across Visegrad group countries. Several banks from the financial conglomerate were less efficient than other banks in the banking industry.
8

EFFICIENCY ANALYSIS OF EU MEMBER STATES IN THE CONTEXT OF POPULATION AGING

44%
Soukupová N., Kocourková M., Klicnarová J.
Ekonomický časopis (Journal of Economics)
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2023
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vol. 71
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issue 10
646 – 666
EN
The population aging might threaten the economic development and efficiency of EU Member States. Based on the demographic projections, the EU’s old-age dependency ratio (as proxies of population aging) will be almost double – from 31% in 2019 to 57% in 2100. This study focuses on the efficiency analysis of European Union Member States in the context of population aging. Utilizing Data Envelopment Analysis (DEA) and the Malmquist Productivity Index, we evaluated how demographic changes affect the economic efficiency of various EU countries. Our findings reveal that some states, such as the Czech Republic, Germany, and Luxembourg, demonstrate high-efficiency levels when considering demographic factors. The results suggest that technological advancement and innovation are crucial in addressing the challenges associated with population aging.
9

HIGHER EDUCATION INSTITUTIONS PERFORMANCE IN CONVERGENCE REGIONS AFTER THE EU ENLARGEMENT – CASE OF SLOVAKIA

38%
Lešková A., Šipikal M.
Ekonomický časopis (Journal of Economics)
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2019
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vol. 67
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issue 7
743 – 760
EN
The membership expansion of EU in 2004 brought some challenges for post-communist countries which were expected to approach the EU average. Regional policy of EU provided new member states with significant support in order to catch up. Although cross-country convergence appeared, convergence within the countries is still not clear. Institutions can play a crucial role in economic development, especially universities. During 2007 – 2015 were Slovak higher education institutions supported mostly in convergence regions and the support should be seen in their better performance. A main goal of this paper is to find out whether the efficiency of Slovak public higher education institutions in convergence regions changed comparing to Bratislava region after the first entire programming period 2007 – 2013. A Data Envelopment Analysis is applied to compare years 2007 and 2015. The results show that public higher education institutions in less-developed regions in Slovakia indeed experienced a convergence comparing to Bratislava region, especially in the area of research that was mostly supported from Structural Funds.
10

APLIKÁCIA DEA MODELOV PRI ANALÝZE TECHNICKEJ EFEKTÍVNOSTI POBOČIEK KOMERČNEJ BANKY

38%
Kočišová K.
Ekonomický časopis (Journal of Economics)
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2012
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vol. 60
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issue 2
169 – 186
EN
The main aim of submitted paper is to analyse relative efficiency in the Slovak banking sector. This paper focuses on the analysis of 206 branches of selected Slovak commercial bank during year 2010, realised by using of DEA models. The article in its closing part gives attention to the question, whether external economic surrounding influences performance of bank branches.
11

ANALÝZA EFEKTÍVNOSTI SLOVENSKÝCH A ČESKÝCH POISŤOVNÍ POMOCOU MODELOV ANALÝZY OBALU DÁT

32%
Grmanová E., Jablonský J.
Ekonomický časopis (Journal of Economics)
|
2009
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vol. 57
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issue 9
857-869
EN
The aim of the paper is a comparison of efficiency of Slovak and Czech commercial composite insurance companies by data envelopment analysis (DEA) models. DEA models are non-parametric techniques for evaluation of efficiency and performance of the set of homogenous units based on solving of linear programming problems. The basic idea of DEA models consists in estimation of an efficient frontier that defines production possibility set of the problem. The efficient frontier is estimated from the data set that contains the most important characteristics influencing the efficiency of the units. The units lying on the frontier are considered as efficient and the remaining ones as inefficient. Their efficiency score is measured as a distance from the efficient frontier. The following characteristics are taking into account in our analysis: premium income, other income, insurance claims and operating expenses.
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