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A Hybrid Usability Approach for Rating Evaluation of M-Commerce Applications

arXiv · AI, language, vision and robotics · article · Aug 26, 2026 · UTC

The success of any mobile application relies on its usefulness and rating is considered as an important measure in this regard. This research work focuses on identifying usability factors, which contribute significantly towards the rating of M-commerce apps. This work intends to explore existing usability models consisting of different factors along with a set of criteria and evaluate in terms of rating estimation by considering 5 well-known mobile applications, namely (i) daraz, (ii) shophive, (iii) home shopping, (iv) Symbios. (v) yayvo. Then, this work provides a hybrid usability model for

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Evidence & attribution

First collected: 2026-09-21T09:22:01.459Z. This is not the publication date.