The paper explores the effect of customer satisfaction with online supporting services on loyalty to providers of an offline core service. Supporting services are provided to customers before, during, or after the purchase of a tangible or intangible core product, and have the purpose of enhancing or facilitating the use of this product. The internet has the potential to dominate all other mark...

Literature has stressed the importance of customer retention (loyalty) as it is considered to be a vital source in attaining not only competitive advantage but also improved business performance. A number of studies on online shopping behavior have indirectly related customer satisfaction to repurchase intention. But very few studies have explicitly studied the relationship between customer sat...

Many companies have no reliable way to determine whether their marketing money has been spent effectively, and their return on investment is often not evaluated in a systematic manner. Thus, a compelling need exists for computational tools that help companies to optimize their marketing strategies. For this purpose, we have developed computational models of customer buying behavior in order to ...

There is an ongoing debate over the activities of brands and companies in social media. Some researchers believe social media provide a unique opportunity for brands to foster their relationships with customers, while others believe the contrary. Taking the perspective of the brand community building plus the brand trust and loyalty literatures, our goal is to show how brand communities based o...

Despite the extensive interest in trust within information systems (IS) and e-commerce disciplines, only few studies examine trust in the postadoption phase of the customer relationship. Not only gaining new customers by increasing adoption, but also keeping the existing ones loyal, is largely considered important for e-business success. This paper scrutinizes the role of trust in customer loya...

A key challenge for companies is to manage customer relationships as an asset. To create an effective toolkit for the analysis of customer relationships, a combination of relational databases and fuzzy logic is proposed. The fuzzy Classification Query Language allows marketers to improve customer equity, launch loyalty programs, automate mass customization, and refine marketing campaigns.

The proposed model is theoretically grounded in the multi-attribute attitude literature. It is proposed that the antecedents of customer loyalty are be partitioned into three categories. First, supply-side (firm-controllable) customer loyalty antecedents are those satisfaction drivers that comprise total customer experience (TCE). Eight distinct TCE dimensions are identified through preliminary...