Customer Experience Management Architecture for Enhancing Corporate Customer Centric Capabilities
Dominik Paweł Ryżko , Jan Kaczmarek
AbstractThe paper reports results of theoretical research aimed at devising methods for representation of experience in computer systems for the purpose of implementing Customer Experience Management (CEM) systems. The paper introduces a novel architecture for modelling customer experience with respect to company, brand, product and its relation to consumer decisions. A process for customer experience approximation is proposed and links to customer decision making are mapped. Experience gaining by a customer has been modelled as a learning process which opens up the way for applying various machine learning algorithms to customer experience emulation. Each customer is represented as an intelligent agent, which reflects the distributed nature of the problem and allows for autonomy of its elements. It is shown how the architecture can be utilised with existing resources e.g. Customer Relationship Management systems as a source of data for CEM.
|Book||Ryżko Dominik Paweł, Rybiński Henryk, Gawrysiak Piotr, Kryszkiewicz Marzena (eds.): Emerging Intelligent Technologies in Industry, Studies in Computational Intelligence, vol. 369, 2011, Springer, ISBN 978-3-642-22731-8, 342 p., DOI:10.1007/978-3-642-22732-5|
|Project||Development of new methods and algorithms in the following areas: computer graphics, artificial intelligence, and information systems; and distributed systems. Project leader: Rybiński Henryk,
, Phone: +48 22 234 7731, start date 24-06-2010, planned end date 31-12-2010, end date 30-11-2011, II/2010/DS/1, Completed
|Publication indicators||= 0; = 1; : 2011 = 0.384|
|Citation count*||3 (2020-03-07)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.