Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A customer satisfaction evaluation model for mobile internet services

Full metadata record
DC Field Value Language
dc.contributor.authorPark, H.-S.-
dc.contributor.authorNoh, S.J.-
dc.date.accessioned2022-03-14T09:43:25Z-
dc.date.available2022-03-14T09:43:25Z-
dc.date.created2022-03-14-
dc.date.issued2003-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/26607-
dc.description.abstractThis study established a mobile Internet customer satisfaction (CS) evaluation model using the structural equation model. The factors affecting the CS were identified, and grouped into three constructs. Field experts participated in a brainstorming process to extract the factors affecting the CS. Through experiments, it was shown that CS of the mobile Internet service was influenced by information quality, system quality, along with interface quality. For each construct, major factors were again extracted with their importance. The results would be of help for strategic improvement of mobile Internet services and user interface. © Springer-Verlag Berlin Heidelberg 2003.-
dc.language영어-
dc.language.isoen-
dc.publisherSpringer Verlag-
dc.titleA customer satisfaction evaluation model for mobile internet services-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, H.-S.-
dc.identifier.doi10.1007/978-3-540-45233-1_31-
dc.identifier.scopusid2-s2.0-35248888418-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.2795, pp.374 - 377-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume2795-
dc.citation.startPage374-
dc.citation.endPage377-
dc.type.rimsART-
dc.type.docTypeReview-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Park, Hee Sok photo

Park, Hee Sok
Engineering (Department of Industrial and Data Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE