Understanding Digital Consumer Decision Pathways: An Integrated Model of Perception, Trust, Experience Quality, Engagement, Perceived Value, and UX Flow in Emerging Online Service Markets

Clicks: 2
ID: 312097
2025
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #144 of 395 articles by views in Social Sciences & Humanity Research Review

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 395 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The rapid expansion of digital platforms has intensified competition, making it critical to understand how user experience and psychological factors influence consumer purchase behavior. Despite extensive adoption of digital services in urban markets, there is limited empirical evidence on how customer perceptions, trust, experience quality, engagement, perceived value, and UX flow jointly shape purchase decisions and purchase probability. This study aims to examine these relationships among digital platform users in Karachi. Using a quantitative research design, data were collected through a structured questionnaire from 400 active digital service users. The proposed model was tested using PLS-SEM, ensuring reliability and validity through established measurement and structural model assessments. The results indicate that customer perception, experience quality, engagement, and perceived value exert significant positive effects on UX flow, which in turn strongly influences purchase decision (β = 0.61, p < 0.001) and buying probability (β = 0.58, p < 0.001). Customer trust also demonstrated a direct and statistically significant effect on purchase-related outcomes. Overall, the model explained 62% of the variance in purchase decisions and 59% of the variance in buying probability, indicating strong explanatory power. The findings suggest that digital platforms should prioritize seamless UX flow, trust-building mechanisms, and value-enhancing features to strengthen consumer decision-making and long-term purchasing behavior. Future research may extend this model across different cities or service categories for broader generalizability.
Reference Key
imported_1776679841_69e5fba124258 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dr.Irfan Ul Haque
Journal Social Sciences & Humanity Research Review
Year 2025
DOI
10.63468/sshrr.276
URL
https://sshrr.online/index.php/4/article/view/434
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.