We consider a single server Markovian queue with setup times. Whenever this system becomes empty, the server is turned off. Whenever a customer arrives to an empty system, the ser...
We propose a simple framework for analyzing feedforward queueing networks that have the following features: each customer belongs to a (customer) flow and the route that a custom...
The study presented in this paper is motivated by the performance analysis of response times in distributed information systems, where transactions are handled by iterative server...
Robert D. van der Mei, Bart Gijsen, N. in't Veld, ...
Phenomenal data mining finds relations between the data and the phenomena that give rise to data rather than just relations among the data. For example, suppose supermarket cash r...
In recent years, customers' demands on financial services have changed significantly and the number of customers who engage in electronic commerce for financial transactions ...
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much t...
Cosimo Palmisano, Alexander Tuzhilin, Michele Gorg...
Purpose – Customer relationship management (CRM) is an information system that tracks customers’ interactions with the firm and allows employees to instantly pull up informat...
ThuyUyen H. Nguyen, Joseph S. Sherif, Michael Newb...
People have trusted in face-to-face interaction more than any other modes of interactions to develop relationships and as a result of which one of the most concerned problem that ...
Priority queueing systems come natural when customers with diversified delay requirements have to wait to get service. The customers that cannot tolerate but small delays get serv...
A call center with both contract and non-contract customers was giving priority to the contract customers only in off-peak hours, precisely when having priority was least importan...