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Aiming at better understanding the functioning mechanism of factors affecting consumers to adopt e-commerce, the paper adopted empirical methods such as questionnaire investigation, regression analysis, and cluster analysis, provided a quantitative analysis. Based on an analysis of the overall data, the degree of affecting on adopting motives was obtained. Consequently, firms can make effective decisions...
The consumers' risk perceptions in online shopping were studied using the questionnaire data from which five factors including psychological risk, performance risk, social risk, time risk and financial risk were extracted. And the consumers in the sample were classified to five types, i.e., the fashionable, the individualistic, the henchman, the busy-man and the moneygrubber, based on the differences...
With the rapid development of e-business, more and more customer data accumulate daily in Websitespsila background databases. Data mining is thus used to analyze customerspsila buying behaviors and consuming habits to better understand their needs. The authors introduce the data source of data mining in E-business Websites, and then present an architecture that consists of three main components: business...
Understanding how consumers perceive the market is a necessity for an E-commerce (EC) site's survival. The number of EC consumers has been increasing, and customerpsilas trust in EC has become a critical issue. The objective of our study was to apply a two-step cluster analysis in profiling EC consumerspsila demographic characteristics and perception of trust in EC. The findings suggest four clusters...
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