Website Quality

Website is the first interaction tool between user and organization in every online business. The basic goal of every website is to provide information through its content. Nowadays, website content is considered to be a strategic issue for online businesses which will contribute to user attraction and retention. In this paper a soft decision making approach is taken towards the website content selection problem. To tackle this problem, a multi criteria decision making algorithm is proposed based on PROMETHEE outranking methodology. To overcome the shortening of this methodology facing the inherent uncertainty in decision problems, a new method is developed, where the characteristics of the alternatives are represented by intuitionistic fuzzy sets. Finally, a numerical example for content selection of Iranian universities’ website is given to illustrate application of the intuitionistic fuzzy PROMETHEE method. The outcome shows the effectiveness of intuitionistic fuzzy PROMETHEE in accommodating the imprecise information in comparison with fuzzy PROMETHEE and original PROMETHEE.

The convergence of the stock market and the Internet has created new marketing channels in the e-commerce and stock market brokerage industry. Given the fact that the brokerage industry is customer-oriented, the principal challenge for firms active in this industry is attracting and maintaining customers and traders. This study aimed to assess the impact of the quality of financial service provider websites on customer responses among brokerages. The conceptual framework was developed Based on the S-O-R paradigm so that, corporate reputation and perceived value used as the mediator factors. This research adopted a questionnaire survey. All factors were measured with multiple items. The conceptual model was tested using PLS-SEM and Smart PLS software. Findings show that website quality is a determinant factor in predicting customer responses. The impact of website quality directly on customer perceived value and corporate reputation was significant. Also, corporate reputation and perceived value have a positive and significant impact on purchase intention and word-of-mouth. The Sobel test results, at 95% confidence level, accepted the indirect impact of website quality on word-of-mouth and the purchase intention, taking into account the mediating role of corporate reputation and perceived value. In general, this research developed a proposed framework on the role of website quality on customer and trader behaviour in the brokerage industry

With the aim of comprehensively investigating the most important consequences of website quality in e-commerce, this research has collected and analyzed data about the relationship between website quality and customer trust, satisfaction, and loyalty. In this regard, various studies were collected and coded. After that, the eligible studies to enter the meta-analysis based on the determined criteria were identified to be 49, 68, and 29 studies for the relationship between website quality and trust, satisfaction, and loyalty, respectively. The findings of data analysis using CMA2 software showed that website quality has the strongest relationship with satisfaction with an effect size of 0.591 and the weakest relationship with loyalty with an effect size of 0.516. The effect size of trust was also positive and equal to 0.555. In addition, the findings from the analysis of moderator variables also showed that an increase in the year of publication led to a decrease in the effect size of website quality-trust studies but an increase in the effect size of website quality-satisfaction and website quality-loyalty studies. Additionally, with an increase in the sample size, the effect sizes of website quality-trust studies increased, but the effect sizes of website quality-satisfaction and website quality-loyalty decreased.