Telecommunication Companies use data mining techniques to maintain good relationships with their existing customers and attract new customers and identifying profitable/unprofitable customers. Clustering leads to better understanding of customer and its results can be used to definition and decision-making for promotional schemes. In this study, we used the 999-customer purchase records in Sout...

In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organiza...

nowadays, marketing managers are more concerned with identifying and understanding customer behavior in the online space. since the customers in online space are not visible, it is much essential to have more information about them to provide better services. customer segmentation is one way to improve the customer problems in an online space. identifying characteristics of customers and optima...

In this paper we consider a single-server polling system with switch-over times. We introduce a new service discipline, mixed gated/exhaustive service, that can be used for queues with two types of customers: high and low priority customers. At the beginning of a visit of the server to such a queue, a gate is set behind all customers. High priority customers receive priority in the sense that t...

Reciprocal customers may disproportionately improve the performance of markets for experience goods. Reciprocal customers reward (punish) ...rms for providing good (bad) quality by upholding (terminating) the customer relation. This may induce ...rms to provide good quality. Reciprocal customers can be social multipliers in two ways. First, reciprocal customers cause a positive externality for ...

decision trees as one of the data mining techniques, is used in credit scoring of bank customers. the main problem is the construction of decision trees in that they can classify customers optimally. this paper proposes an appropriate model based on genetic algorithm for credit scoring of banks customers in order to offer credit facilities to each class. genetic algorithm can help in credit sco...

nowadays, advances in information and communication technologies, has provided an opportunity for banks to provide their electronic services to their customers in remote areas. this technological innovation by e–banking systems has brought about many benefits to customers while it has been accompanied by a number of risks including the operational ones. this risks need to be identified and mana...

We consider an auction of identical digital goods to customers whose valuations are drawn independently from known distributions. Myerson’s classic result identifies the truthful mechanism that maximizes the seller’s expected profit. Under the assumption that in small groups customers can learn each others’ valuations, we show how Myerson’s result can be improved to yield a higher payoff to the...

While vendors on the Internet may have enjoyed an increase in the number of clicks on their Web sites, they have also faced disappointments in converting these clicks into purchases. Lack of trust is identified as one of the greatest barriers inhibiting Internet transactions. Thus, it is essential to understand how trust is created and how it evolves in the Electronic Commerce (EC) context thro...