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Advancements in technology have made relationship marketing a reality in recent years. Technologies such as data warehousing, data mining, and campaign management software have made customer relationship management a new area where firms can gain a competitive advantage. Particularly through data mining—the extraction of hidden predictive information from(More)
Due to the limitless possibilities and low cost, Radio Frequency Identification (RFID) systems are used in a variety of applications to uniquely identify physical objects. The operation of RFID systems often involves a situation in which numerous tags are present in the interrogation zone of a single reader at the same time. The tags can collide and cancel(More)
Taiwan deregulated its wireless telecommunication services in 1997. Fierce competition followed, and churn management becomes a major focus of mobile operators to retain subscribers via satisfying their needs under resource constraints. One of the challenges is churner prediction. Through empirical evaluation, this study compares various data mining(More)
This study has devoted much effort to developing an integrated model designed to predict and explain an individual’s continued use of online services based on the concepts of the expectation disconfirmation model and the theory of planned behavior. Empirical data was collected from a field survey of Cyber University System (CUS) users to verify the fit of(More)
Electronic commerce is radically changing the competitive landscape. Increasingly, firms need to have stronger ties with customers and suppliers. In this business scenario, it is important for firms to have information systems (IS) that encourage the unhindered flow of information. The paradigm that addresses this need of firms is popularly known as(More)
Previous literature suggests that various factors play crucial roles in the adoption of an information system; however, there is little empirical research about the factors affecting adoption of data warehouse technology, particularly in a single information technology intensive industry. In this study, we used a survey to investigate the factors(More)