We develop an on-line shopping assistant that can help a e-shopper to select a product from many on-line shops based on the personal preference. The shopping assistant is developed based on value networks which extend Bayesian networks with user preference. On-line shopping of bicycles is used as the application domain.

With businesses seeking to seize the momentum of social media and social networking, technology-enabled social commerce has emerged to combine the power of online social networking with shopping. This study examines an emerging area in E-commerce, i.e., social commerce. Extending the online consumer behavior typology, this study categorizes online consumer behaviors into three types: transactio...

As the information age arrives and the internet network has very popular day by day. Internet network has already become quite important activity in people's daily life. The research shows that there are more than 650 million nonrepeating users shop on line, including shopping center websites and sub channel. According to network auction and relevant literature of network marketing, the behavio...

Purpose – Taking into consideration external (technology acceptance factors, website service quality) as well as internal (specific holdup cost) factors, this paper aims to explore how internet customer satisfaction and loyalty can be associated with each other and how they are affected by these dynamics. Design/methodology/approach – This study adopts structural equation modelling (SEM) as the...

Website customer loyalty is believed to be very important to the success of E-Commerce firms. Based on document review, this study constructs a customer loyalty effect model which chooses organization, navigation, labeling and searching system as dependent variables as well as attitude and behavior loyalty as variables. The sample of the study was drawn from 250 students who have online shoppin...

Counterfeiting causes hundreds of billions dollars of losses around the world every year. Due to the growing prominence of online commerce, the seriousness of the situation could soon become much worse. Hence, reaching a clear understanding of the fundamental economic incentives behind this practice is of vital importance. In this paper, we investigate a problem within which a firm selling a co...

A rich theory literature predicts mixed strategies in posted prices due to standard price discrimination, search frictions, and various other rationales. While typically interpreted as implying occasional sales or price dispersion, online marketplaces enable a firm to truly use randomization as a tool in pricing, and so such behavior should be expected to arise in online settings. We investigat...

Due to the inherent nature of e-commerce, customers usually have to take certain level of risks while shopping online. To deal with such risks and their associated uncertainty, most of the e-commerce websites provide product review ranking services to help customers to make purchase decisions. However, such services are typically not reliable because the ranking results are usually based on the...

To bridge the research gap on the issue of metacognition in the IS research, this study examines consumer’s metacognition in the context of B2C e-commerce. Especially, focusing on the e-commerce solution in terms of Electronic Product Catalogs (EPCs), this study attempts to investigate the effect of the IT artefact on consumer’s metacognition in online shopping. From the perspective of cognitiv...

The trust plays an extremely important role in online shopping. In order to make online shopping trusty, this paper puts foreword a new trust model in e-commerce environment GIR-TM (Groups’ Internal Recommendation Trust Model). First, it regarded the network as a combination of groups, and then did the internal recommendation based on these groups. The GIR-TM, in the process of recommendation, ...