A Quantitative Approach in Heuristic Evaluation of E-commerce Websites

01/12/2018
by   Xiaosong Li, et al.
0

This paper presents a pilot study on developing an instrument to predict the quality of e-commerce websites. The 8C model was adopted as the reference model of the heuristic evaluation. Each dimension of the 8C was mapped into a set of quantitative website elements, selected websites were scraped to get the quantitative website elements, and the score of each dimension was calculated. A software was developed in PHP for the experiments. In the training process, 10 experiments were conducted and quantitative analysis was regressively conducted between the experiments. The conversion rate was used to verify the heuristic evaluation of an e-commerce website after each experiment. The results showed that the mapping revisions between the experiments improved the performance of the evaluation instrument, therefore the experiment process and the quantitative mapping revision guideline proposed was on the right track. The software resulted from the experiment 10 can serve as the aimed e-commerce website evaluation instrument. The experiment results and the future work have been discussed.

READ FULL TEXT

page 1

page 2

page 3

page 4

05/30/2018

A Narrative Literature Review and E-Commerce Website Research

In this study, a narrative literature review regarding culture and e-com...
09/02/2021

Developing Products Update-Alert System for e-Commerce Websites Users Using HTML Data and Web Scraping Technique

Websites are regarded as domains of limitless information which anyone a...
03/27/2021

Some Results of Experimental Check of The Model of the Object Innovativeness Quantitative Evaluation

The paper presents the results of the experiments that were conducted to...
09/18/2021

The Effect of User-Generated Content Factors on Improvement: Usability for E-Commerce in Context of Bangladesh

Context: Usability is a key success of any e-commerce developmen...
07/03/2019

Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories

Knowing if a user is a buyer or window shopper solely based on clickstre...