arbiter
JournalsPricingAccount

A decision support model for online marketing investment decisions

Lucie Waleczek Zotyková

International Journal of Management and Decision Making2025https://doi.org/10.1504/ijmdm.2025.144710article
AJG 1
Weight
0.50

What the paper says

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.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijmdm.2025.144710

Or copy a formatted citation

@article{lucie2025,
  title        = {{A decision support model for online marketing investment decisions}},
  author       = {Lucie Waleczek Zotyková},
  journal      = {International Journal of Management and Decision Making},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijmdm.2025.144710},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

A decision support model for online marketing investment decisions

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.