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