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PL
Celem artykułu jest dokonanie diagnozy efektywności przedsiębiorstw należących do polskiego sektora żywnościowego i notowanych na Giełdzie Papierów Wartościowych w Warszawie. Osiągnięcie wskazanego celu warunkowane jest zastosowaniem metody systematycznej analizy piśmiennictwa oraz metody data envelopment analysis – jednej z metod matematycznego programowania liniowego opartej na koncepcji krzywej możliwości produkcyjnych. W pierwszym rozdziale przedstawiono teoretyczne podstawy metody DEA. W kolejnym rozdziale opisano metodykę badań empirycznych. W rozdziale trzecim przedstawiono najważniejsze wyniki badań oraz omówiono wyniki.
EN
The aim of the article is to make a diagnosis of the efficiency of enterprises belonging to the Polish food sector and listed on the Stock Exchange in Warsaw. Achievement of the indicated objective is conditioned by the use of the method of systematic literature analysis and the Data Envelopment Analysis method – one of the methods of mathematical linear programming based on the concept of a production capacity curve. The first chapter presents the theoretical foundations of the DEA method. The next chapter describes the methodology of empirical research. In the third chapter, the most important research results are presented and a discussion of results was conducted.
EN
The machinery sector plays an important role in the economy of each country providing the technology, machinery, equipment and production lines for other manufacturing sectors. Nowadays, these companies often introduce also services to their portfolio, thus exceeding the boundary between the manufacturing sector and the service sector. These actions are caused by the global trend of shifting towards a service economy and harsh competitive conditions in the market place. The aim of this article is to assess the condition of the selected group of companies operating in the sector of machinery and industrial equipment manufacturing in terms of technical efficiency, and to examine whether the number of services offered by them correlates with the efficiency score. The analysis was made using DEA (Data Envelopment Analysis), which as a non-parametric method, is widely used for studding the efficiency of both business institutions and public organizations, for which the relationship between inputs and achieved outputs (i.e. the production function) is unknown. Data for the study were drawn from the EMIS (Emerging Market Information Service) database, and the sampling was made in accordance with the DEA methodology taking into account factual and statistical methods. Both, companies that offer a wide range of services and those that limit the range of services to warranty support, were analyzed, and then the results were compared and discussed.
PL
Celem artykułu jest wskazanie zastosowania metody DEA (Data Envelopment Analysis) do badania efektywności działania obiektów z sektora usług. W artykule przedstawiono pojęcia związane z pomiarem efektywności. Opisano koncepcję metody DEA stosowanej z powodzeniem zarówno do analizy produktywności podmiotów gospodarczych, jak i instytucji sektora publicznego. Wskazano zasadność zastosowania analizy porównawczej efektywności działania w sektorze przedsiębiorstw usługowych. Omówiono wyniki analizy dla sektora usług transportu drogowego towarowego w Polsce. Przedstawiono ogólną koncepcję modelu Network DEA.
EN
The aim of the article is to present the application of DEA (Data Envelopment Analysis) method in measuring performance of polish companies operating in service sector. The terms related to the subject has been presented. The main idea of DEA method, which is successfully applied worldwide in the productivity analysis of private and public sector organizations, has been describe. The author conducted the analysis at the truck transportation sector (companies operating at the polish market) and presented the results in this paper. A general concept of Network DEA model has also been presented.
PL
W artykule zaprezentowano semiparametryczną modyfikację metody obwiedni danych (Data Envelopment Analysis, DEA), służącą pomiarowi efektywności funkcjonowania tych sektorów gospodarki, których produkcja zależy od wielkości produkcji globalnej. Metoda ta, w przypadku jej zastosowania do danych przekrojowych dla gospodarek różnych krajów, może służyć do oszacowania kształtu granicy technologicznej dla wspomnianych sektorów.
EN
The paper presents a semiparametric modification of the Data Envelopment Analysis for measuring the effectiveness of a sector, whose production depends on the size of its global output. This method applied to cross-sectional data from different economies can be used to estimate the shape of the world technological frontier for considered sector.
5
Content available remote Identyfikacja stopnia rozwoju systemów informatycznych zarządzania
EN
The processes of organization and management in modern organizations are dependent on the continuous supply and flow of accounting and managing information. Efficiency measured by the degree of rationality of management decisions increases significantly through the use of Management Computer Systems (MCS). Therefore, making right decisions about creation, development and use of the MCS is vital for any organization. The paper presents an original method to identify the level of growth of MCS using model-based diagnostic method based on the one proposed by R.L. Nolan stage model of growth of information technology (IT) within companies. The authors present the framework for designing the measurement instrument to survey the level of MCS growth as a questionnaire with an applied method of checklists. They present a quantitative approach using the tools and mathematical methods to determine the form of a continuous measurement of MCS growth rate. The introduction of continuous measurement in terms of growth rate to identify the stages of MCS development defined as the Nolan's index in place of the commonly used discrete measure increases the accuracy of diagnosis and allows comparing the states of the objects diagnosed as belonging to the same stage. The paper presents the center of gravity method and modified DEA method (Data Envelopment Analysis), each in two versions depending on the type of approximation functions taking into account the coexistence of the properties in a considered object which are characteristic for the different phases of development. Of the four procedures for determining, Nolan's ratio points out as the best the DEA method with a non-linear approximation function of g. The selection is based on the analysis of the results of the computational experiment. The smallest average deviation from the arithmetic mean of the Nolan's index calculated with discussed procedures was taken as a quality criterion. The authors expose prominent advantages of quantitative approaches, including the possibility of building an expert system that allows collection, analysis and interpretation of the facts about a particular organization and produce the recommendation for MCS growth with achieving alignment between information systems and organization as a whole.
6
Content available remote The method of data envelopment analysis as a tool for compiling a rating list
EN
The paper presents the method of Data Envelopment Analysis (DEA) as a tool for compiling rating lists in tasks of ordering elements of assemblages. We describe the differences that result from applying a one-dimensional model and multi-dimensional model, where in the latter a so-called partial order is created for incomparable elements in the assemblage being ordered. The example used to illustrate the issues discussed is the analysis of teaching results in a student group.
EN
This article presents results of research on the efficiency of public prosecution organizational units by means of the DEA method. The study covered 45 public prosecution regions, whose technical and cost efficiency were analyzed. It also examined the impact of the returns-to-scale effect on their overall efficiency. Additionally, the authors present potential savings that could be achieved if units considered to be inefficient improved their efficiency. The results obtained show that the DEA method is very useful in analyzing the efficiency of public sector entities when a given service is rendered by more than ten such entities.
PL
W artykule scharakteryzowano podstawowe założenia oceny rozwoju zrównoważonego na poziomie przedsiębiorstw. Wskazano na możliwość zastosowania metody Data Envelopment Analysis w ocenie zrównoważonego rozwoju przedsiębiorstw i przedstawiono wyniki oceny przeprowadzonej w przedsiębiorstwach sektora energetycznego.
EN
Basic assumptions of the sustainable development assessment on an enterprise level were presented in the article. Potential for the application of the Data Envelopment Analysis method for assessing sustainable development of enterprises was discussed alongside with a presentation of assessment results for enterprises from the energy sector.
9
Content available remote Metoda DEA w efektywnym zarządzaniu podmiotami sektora publicznego
PL
W artykule przedstawiono podstawowe przesłanki przeprowadzania analiz porównawczych efektywności działania instytucji sektora publicznego. Opisano ogólną koncepcję metody DEA, która obecnie zajmuje na świecie wiodącą pozycję w tego typu badaniach. Omówiono przykłady zastosowań metody DEA w różnych obszarach sektora publicznego w kilku krajach. Sformułowano konkluzję o zasadności stosowania analizy porównawczej efektywności działania instytucji sektora publicznego również w warunkach polskich. Rozważania zilustrowano wynikami obliczeń efektywności działania polskich uczelni technicznych. Wskazano, że większość badanych uczelni posiada rezerwy efektywności technicznej i alokacyjnej
EN
Public sector is being currently under intensified pressure to increase efficiency and improve quality of its activity. The pressure of government, local society, stake holders and media stimulates public sector development and motivates to experiment with new management methods. In the article basic premises of comparative analysis of public sector institutions efficiency are presented. In the global studies on comparative analysis of efficiency the Data Envelopment Analysis (DEA) is the leading method applied. In the article the general concept and key features of the DEA method are described. The examples of DEA implementation in different areas of public sector worldwide are presented. The conclusion is formulated that undertaking similar studies in Polish environment is justified. Considerations are illustrated with the calculation of Polish public technical universities efficiency. In the DEA model proposed the didactic subsidy comprises the input and the number of students and scientific grants is treated as the output. It is indicated that the majority of the universities under scrutiny possesses reserves of technical and allocative efficiency. The authors are convinced that the comparative analysis of efficiency can be one of the important stimulators of public service quality, public spending and public institutions management improvement.
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