An e-customer behavior model with online analytical mining for internet marketing planning

A Dominance-based Rough Set Approach to customer behavior in the airline market

“…In most of such studies, data mining technologies are applied to produce a generalized customer profile of the Internet shopper and to further explore the Web usage pattern of the online consumer. The knowledge obtained through data mining helps foster informed Internet marketing decision-making and allows for the refinement of Web content and infrastructure to improve Internet marketing [18]. Wang and Hong [34], through the use of data mining techniques, developed a Customer Profitability Management (CPM) system for achieving marketing goals by leading customers to progress along pre-determined and desirable paths.…”

“…The changes in patterns thus identified can then be investigated and assessed to provide a basis for formulating marketing strategies. Customer behavior analysis in Internet marketing has already been investigated by many researchers [16,18,19]. In most of such studies, data mining technologies are applied to produce a generalized customer profile of the Internet shopper and to further explore the Web usage pattern of the online consumer.…”

Factors affecting the consumer trust for shopping through electronic media

“…El marketing tiene como objetivo producir ingresos mediante la comprensión de las necesidades del cliente (Kwan, Fong y Wong, 2005), y es que en una economía de mercado, que busca el encuentro eficiente entre la demanda y la oferta, los vendedores tendrán que desarrollar acciones inclinadas a facilitar el intercambio voluntario y competitivo de sus productos; de este modo, el marketing pretende la satisfacción de necesidades conjuntas más beneficiosas para las partes involucradas en el proceso de intercambio: cliente, proveedor, distribuidor (Talaya et al, 2008). El marketing es amplio, ambiguo, incierto, especulativo e independiente, es estratégico ya que resuelve el conflicto empresa-mercado-competencia para incrementar el valor y para generar riqueza (Bilancio, 2001).…”

A possibilistic-valued multi-criteria decision-making support for marketing activities in e-commerce: Feedback Based Diagnosis System

“…This encompasses all activities supporting market transactions including marketing, customers' support, delivery and payment (Schniederjans and Cao, 2002). One important problem in EC marketing activities is the process of building and maintaining customer relationships through online activities to facilitate the exchange of ideas, products, and services that satisfy the goals of both parties (Kwan et al, 2005). Thus EC marketing teams devote most of their time to develop indicators to efficiently monitor their activities and adapt their business strategy dynamically.…”