Exploiting sensitivity analysis in Bayesian networks for consumer satisfaction study.
Publication year
2004Publisher
Zakopane, Poland : Springer Berlin
Series
Advances in soft computing
ISBN
9783540213314
In
Klopotek, M.A.; Wierzchon, S.T.; Trojanowski, K. (ed.), Intelligent information processing and web mining: Proceedings of the International IIS: IIPWM´04 Conference, pp. 39-48Annotation
IIPWM'04 Conference
Publication type
Part of book or chapter of book
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Editor(s)
Klopotek, M.A.
Wierzchon, S.T.
Trojanowski, K.
Organization
Relatiemanagement - t/m 2007
Former Organization
Relatiemanagement
Book title
Klopotek, M.A.; Wierzchon, S.T.; Trojanowski, K. (ed.), Intelligent information processing and web mining: Proceedings of the International IIS: IIPWM´04 Conference
Page start
p. 39
Page end
p. 48
Subject
Advances in soft computing; Relationship ManagementAbstract
The paper presents an application of Bayesian network technology in a empirical customer satisfaction study. The findings of the study should provide insight as to the importance of product/service dimensions in terms of the strength of their influence on overall satisfaction. To this end we apply a sensitivity analysis of the model’s probabilistic parameters, which enables us to classify the dimensions with respect to their (non) linear and synergy effects on low and high overall satisfaction judgments. Selected results from a real-world case study are shown to demonstrate the usefulness of the approach.
This item appears in the following Collection(s)
- Academic publications [245050]
- Electronic publications [132309]
- Nijmegen School of Management [18680]
- Open Access publications [105922]
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