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On Statistical Method-Based Information System for Decision Support of Municipalities

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00340882" target="_blank" >RIV/68407700:21260/20:00340882 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-34272-2_19" target="_blank" >https://doi.org/10.1007/978-3-030-34272-2_19</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-34272-2_19" target="_blank" >10.1007/978-3-030-34272-2_19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Statistical Method-Based Information System for Decision Support of Municipalities

  • Original language description

    The presented contribution is a description of the first output from a project and describes a software solution architecture of performance management tool for public sector economy. The contribution defines 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 (IT). 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, developing a software tool and comparison of municipal efficiency with it. The project research outputs can be identified with the creation of the information system (IS) which consists of software application together with efficiency analysis methodology. The next aim is to create a web application as support of processes is defined by the methodology of analysis which can serve as support tool for easy use by potential users. The statistical algorithms DEA and FDH are the output of a team of economists–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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • Article name in the collection

    4th EAI International Conference on Management of Manufacturing Systems

  • ISBN

    978-3-030-34271-5

  • ISSN

    2522-8595

  • e-ISSN

    2522-8609

  • Number of pages

    14

  • Pages from-to

    205-218

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • Event location

    Krynica Zdroj

  • Event date

    Oct 8, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article