Decision Support for Municipality Information System Based on Statistical Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00343590" target="_blank" >RIV/68407700:21260/20:00343590 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-40176-4_4" target="_blank" >https://doi.org/10.1007/978-3-030-40176-4_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-40176-4_4" target="_blank" >10.1007/978-3-030-40176-4_4</a>
Alternative languages
Result language
angličtina
Original language name
Decision Support for Municipality Information System Based on Statistical Methods
Original language description
The presented contribution is a description of first output from a project and describes a software solution architecture of performance management tool for public sector economy. The contribution defines the functional and system requirements and their technological implementation, data integration procedures, and design and creation of a database consisting of available public sector databases. The project team uses a multidisciplinary approach—a mix of methods of economics, operational research, and information technology. The subject of goals in this research project is a description of the current state of research in the field of application of nonparametric statistical methods (DEA, FDH) for analysis, development of a software tool, and comparison of municipal efficiency with it. The project research outputs can be identified with the creation of the information system that consists of software application together with efficiency analysis methodology. The next aim is to create a web application as support of processes defined by the methodology of analysis which can serve as a support tool for easy use by potential users. The statistical algorithms DEA and FDH are the output of a team of economists and statisticians and are ported to the back-end of the web application by being delivered to a team responsible for developing a software application in the form of functions written in R along with a validation set of data.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TL01000463" target="_blank" >TL01000463: Application of nonparametric methods (DEA, FDH) to analyze and to compare the efficiency of municipalities</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
New Approaches in Management of Smart Manufacturing Systems
ISBN
978-3-030-40175-7
Number of pages of the result
15
Pages from-to
55-69
Number of pages of the book
354
Publisher name
Springer Nature Switzerland AG
Place of publication
Basel
UT code for WoS chapter
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