Authors:
Antonia Stefani
1
;
Dimitris Stavrinoudis
1
and
Michalis Xenos
2
Affiliations:
1
School of Sciences & Technology, Hellenic Open University, Greece
;
2
School of Sciences & Technology, Hellenic Open University; Research Academic Computer Technology Institute, Greece
Keyword(s):
E-commerce Systems, Quality Assessment, Bayesian Networks.
Related
Ontology
Subjects/Areas/Topics:
Communication and Software Infrastructure
;
e-Business
;
e-Commerce and e-Business: B2B and B2C
;
Enterprise Information Systems
;
Information and Systems Security
Abstract:
This paper provides an in-depth analysis of selected important topics related to the quality assessment of e-commerce systems. It briefly introduces to the reader a quality assessment model based on Bayesian Networks and presents in detail the practical application of this model, highlighting practical issues related to the involvement of human subjects, conflict resolution, and calibration of the measurement instruments. Furthermore, the paper presents the application process of the model for the quality assessment of various e- commerce systems; it also discusses in detail how particular features (data) of the assessed e-commerce systems can be identified and, using the described automated assessment process, lead to higher abstraction information (desiderata) regarding the quality of the assessed e-commerce systems.