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A decision support model for online marketing investment decisions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F25%3AA0000531" target="_blank" >RIV/47813059:19520/25:A0000531 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.inderscienceonline.com/doi/abs/10.1504/IJMDM.2025.144710" target="_blank" >https://www.inderscienceonline.com/doi/abs/10.1504/IJMDM.2025.144710</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1504/IJMDM.2025.144710" target="_blank" >10.1504/IJMDM.2025.144710</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A decision support model for online marketing investment decisions

  • Original language description

    This study provides a decision support model for starting e-commerce projects. The proposed model uses individual tips from online marketing activities for investment decisions in online marketing using profit simulation and modelling. An e-shop was established and operational in 2022. The coronavirus pandemic (COVID-19) had a wide-ranging effect on e-commerce, technology, business, travel, and the economy. Regression analysis was used to investigate the viability of e-commerce projects considering seasonal trends. The proposed decision support, along with its assessment model and fine-tuning procedures, is described in this study.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Management and Decision Making

  • ISSN

    1462-4621

  • e-ISSN

    1741-5187

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    17

  • Pages from-to

    152-168

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-86000316926