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Integration of social media, regional and service factors in quantitative e-commerce websites evaluation

Author: 
Eyad Makki and Lin-Ching Chang
Subject Area: 
Physical Sciences and Engineering
Abstract: 

The effectiveness of an E-commerce website is vital to E-business success. Therefore, it is important to accurately evaluate the performance of E-commerce websites. Many website evaluation methods have been proposed and used. However, though these tools have covered remarkably broad factors, social media as well asregional and service-relatedfactors are usually not taken into consideration. In this paper, a new model is proposed, integratingsocial media (i.e., Twitter data), website rank, website functionality, regional and service-related data in order to quantitatively evaluate the performance of E-commerce sites. By adopting those new factors, we try to provide a new model to better assess the compounding effect of website performance. The proposed model is applied to54 selected E-commerce websites in Saudi Arabia, and the evaluation results show the benefit of the new model. The proposed model can be used to improve the site performance and help decision makers to better understand their business.

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