Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Data envelopment analysis" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Multicriteria Assessment of the Academic Research Activity
Autorzy:
Kuchta, Dorota
Ryńca, Radosław
Ziaeian, Yasmin
Grudziński, Adam
Powiązania:
https://bibliotekanauki.pl/articles/578544.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Data Envelopment Analysis
Efficiency
Performance
Research assessment
Metoda DEA (Data Envelopment Analysis)
Ocena badań
Sprawność
Wyniki
Opis:
In this paper a network DEA approach to deal with efficiency assessment will be presented and applied to the assessment of performance of members of an academic faculty of Wroclaw University of Science and Technology. The purpose of this study is to propose a solution to the problem of multicriteria assessment of faculty members at universities, discussing at the same time its advantages and disadvantages in the context of the higher educational system in Poland.
Źródło:
Multiple Criteria Decision Making; 2017, 12; 103-118
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multicriteria Analysis of the Success of Research Projects
Autorzy:
Gładysz, Barbara
Kuchta, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/578538.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Data Envelopment Analysis
Project success
Research project
Projekt badawczy
Sukces projektu
Opis:
The present paper considers the problem of the success of a research project evaluated by its outputs (which can be seen as the project’s success measures) related to its inputs (constituting the project’s success factors). Data Envelopment Analysis (DEA) models are used. The inputs and outputs are selected on the basis of a review of the literature. Two models are applied to a set of research projects implemented in Poland. Advantages and disadvantages of the approach are shown. In particular, the selection of inputs, outputs and their weights needs to be researched further. But the models used in the paper, in spite of their imperfection and lack of generality, considerably help to assess and compare the projects. Therefore, DEA is an important tool for the evaluation of R&D activities.
Źródło:
Multiple Criteria Decision Making; 2017, 12; 22-35
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Objective weights for scoring: the automatic democratic method
Autorzy:
Tofallis, Chris
Powiązania:
https://bibliotekanauki.pl/articles/2216202.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
multi attribute decision making
weighting
ranking
performance measurement
composite indices
data envelopment analysis
Opis:
When comparing performance (of products, services, entities, etc.), multiple attributes are involved. This paper deals with a way of weighting these attributes when one is seeking an overall score. It presents an objective approach to generating the weights in a scoring formula which avoids personal judgement. The first step is to find the maximum possible score for each assessed entity. These upper bound scores are found using Data Envelopment Analysis. In the second step the weights in the scoring formula are found by regressing the unique DEA scores on the attribute data. Reasons for using least squares and avoiding other distance measures are given. The method is tested on data where the true scores and weights are known. The method enables the construction of an objective scoring formula which has been generated from the data arising from all assessed entities and is, in that sense, democratic.
Źródło:
Multiple Criteria Decision Making; 2022, 17; 69-84
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multicriteria models in revenue management
Autorzy:
Fiala, Petr
Majovská, Renata
Powiązania:
https://bibliotekanauki.pl/articles/33948716.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
revenue management
performance measurement
multiple criteria
Analytic Hierarchy Process (AHP)
Analytic Network Process (ANP)
Data Envelopment Analysis (DEA)
customer behavior
efficient frontier
Aspiration Level Oriented Procedure (ALOP)
Opis:
Revenue management (RM) deals with selling the right product to the right customer at the right time at the right price through the right channel to maximize revenue. The innovation of RM lies in the way decisions are made. The performance of revenue management approaches can be evaluated against several criteria. Both discrete and continuous multicriteria models can be used to analyse RM. The performance pyramid is a comprehensive, fully integrated per performance system that captures multiple perspectives such as internal, financial, customer and innovation. The assessment is based on a combination of Analytic Hierarchy Process (AHP), Analytic Network Process (ANP) and Data Envelopment Analysis (DEA) approaches. Customer behaviour modelling is gaining increasing attention in revenue management. Customer choice models can be extended with more inputs and more outputs. Evaluation of alternatives can be performed using DEA based evaluation methods. The search for an efficient frontier in a DEA model can be formulated as a multiobjective linear programming problem. We propose to use an Aspiration Level Oriented Procedure (ALOP) to solve the problem.
Źródło:
Multiple Criteria Decision Making; 2023, 18; 29-46
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies