Decision Support for Municipality Information System Based on Statistical Methods

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Decision Support for Municipality Information System Based on Statistical Methods

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Decision Support for Municipality Information System Based on Statistical Methods

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/TL01000463" target="_blank" >TL01000463: Uplatnění neparametrických metod (DEA, FDH) k analýze a ke komparaci efektivnosti obcí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

New Approaches in Management of Smart Manufacturing Systems

ISBN

978-3-030-40175-7

Počet stran výsledku

15

Strana od-do

55-69

Počet stran knihy

354

Název nakladatele

Springer Nature Switzerland AG

Místo vydání

Basel

Kód UT WoS kapitoly

—