The world of E-commerce is expanding, posing a large arena of products, their descriptions, customer and professional reviews that are pertinent to them. Most of the product attribute extraction techniques in literature work on structured descriptions using several text analysis tools. However, attributes in these descriptions are limited compared to those in customer reviews of a product, wher...

0957-4174/$ see front matter Published by Elsevier doi:10.1016/j.eswa.2010.03.048 * Corresponding author. Tel.: +1 979 845 2230. E-mail address: [email protected] (B. Nepal). Understanding customer requirements and incorporating them into the conceptual vehicle design is the first step of automotive product development (PD). However, lack of quantitative data and undefined relationships between th...

This study clusters customers and finds the characteristics of different groups in a life insurance company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in data mining. The researcher could classify customers of each policy in three different clusters, using association rules. A...

With the fast development of digital systems and concomitant information technologies, there is certainly an incipient spirit in the extensive overall economy to put together digital Customer Relationship Management (CRM) systems. This slanting is further more palpable in the telecommunications industry, in which businesses turn out to be increasingly digitalized. Customer churn prediction is a...

In the fierce electronic commerce competition, how to utilize the existing resources to improve customer loyalty has became an important factor for enterprises to guarantee their sustained growth. Through investigation into the customer statics, dynamic and enterprise service attributes, this paper, in order to guarantee higher customer loyalty of enterprises, has used random forest algorithm t...

This paper investigates how the quality of certain attributes of e-commerce systems ― such as information quality, system quality, and service quality ― can be leveraged to enhance business benefits as indicated by customer commitment and customer retention. This study argues that relationship quality, a concept encapsulating the ideas of both trust and satisfaction, is crucial for transferring...

A fundamental proposition in marketing strategy is that a customer relationship orientation is positively related to customer value and firm value. However, the mechanisms of this relationship have yet to be explored in detail, especially in service industries. Our paper addresses this issue by proposing a model that identifies important intermediate variables between customer relationship inve...

To succeed in the highly competitive e-commerce environment, it is vital to understand the impact of website quality in enhancing customer conversion and retention. Although numerous contingent website attributes have been identified in the extant website quality studies, there is no unified framework to classify these attributes and no comparison done between customer conversion and retention ...

Customer satisfaction and relationship is complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment of product and services offered using e-commerce systems. Customer satisfaction is dependent on a large number of organizational as well as p...