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A decision-making method based on consumer spending data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00002060" target="_blank" >RIV/75081431:_____/20:00002060 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01006.pdf" target="_blank" >https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01006.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A decision-making method based on consumer spending data

  • Original language description

    The aim of the paper is to introduce method which allows to calculate the estimation of the total consumer spending for 2019 in different regions of the Czech Republic. Presented method is based on combination of publicly available consumer spending data sets and geomarketing information. It can be applied to estimate consumer spending in total or for example only in one specific consumption expenditure group. Thus obtained findings, that can be visualized on a map with the use of GIS software, can be considered as a basis for more effective SMEs' marketing and management decision-making process concerning Czech Republic local consumer goods markets` size and characteristics as well as for forecasting future growth rate.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

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

    SHS Web of Conferences

  • ISBN

    9782759890941

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    EDP Sciences

  • Place of publication

    Les Ulis, Francie

  • Event location

    České Budějovice

  • Event date

    Sep 7, 2019

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article

    000648964700006