This study examines the pricing behavior of online retailers (e-tailers) in Chinese e-commerce markets. Descriptive statistics indicate that prices have not converged in China’s e-commerce markets and that there is relatively more price variation in markets for cosmetics, compact discs, gifts and books. Fixed effects model estimates show that e-tailer’s characteristics are significant determina...

Key feature of a context-aware application is the ability to adapt based on the change of context. Two approaches that are widely used in this regard are the context-action pair mapping where developers match an action to execute for a particular context change and the adaptive learning where a context-aware application refines its action over time based on the preceding action’s outcome. Both ...

P studies investigating business-to-consumer e-commerce have focused predominantly on online shopping by individuals on their own, although consumers often desire to conduct their shopping activities with others. This study explores the important, but seldom studied, topic of collaborative online shopping. It investigates two design components that are pertinent to collaborative online shopping...

With the rapidly development of e-commerce, online shopping becomes very popular among Chinese customers. In the past few years, online group-buying has experienced big rise and fall, thus, how to retain customers and improve customer loyalty should be considered by the practitioners. This study aims to explore potential factors which contribute to customer loyalty in the online group-buying co...

This paper takes the potential release of online transaction market size as the starting point of research, and discusses how Chinese consumer perceived risks influence online payment willingness. This study divides consumer perceived risks of online payment into eight dimensions: Economic risk, Functional risk, Private risk, Security risk, Time risk, Service risk, Psychological risk and Social...

This empirical study investigates the contribution of different types of predictors to the purchasing behaviour at an online store. We use logit modelling to predict whether or not a purchase is made during the next visit to the website using both forward and backward variable-selection techniques, as well as Furnival and Wilson’s global score search algorithm to find the best subset of predict...

This paper introduces research being carried out into the measurement of the quality of e-commerce systems. Considerable work has been done on software metrics in the last few decades but e-commerce specific metrics seem only applicable to already deployed systems. It is proposed that a set of metrics is needed, which can be applied from the earlier stages of E-Commerce system development to im...

The online infomediary, playing an important role in e-commerce, provides more unbiased and refined product information than usual advertisement provided by online retailers. Interestingly, depending on its capability, the quality of product information is likely to differ. Also, given the fact that it enables consumers to grasp market price dispersion of products, the context of online infomed...

About fifty percent of online retailers make a profit, while fifty percent take a loss (Swanson, 2002), and that motivates us to understand the factors that make online retailers profitable. Among other possibilities, the alignment between business strategy and e-commerce strategy might be one of the critical factors that influence a firm’s profitability. In this paper we explore this influence...

Indent buying on Wechat is a new e-commerce model in China. Product trade is different from ordinary online shopping under this model. We conducted an empirical study and found that trust, information quality and perceived value have significant impact on consumers’ intention to purchase indent buying products. Information quality and word of mouth significantly influence consumers’ perceived v...