Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, DJ | - |
dc.contributor.author | Song, YI | - |
dc.contributor.author | Braynov, SB | - |
dc.contributor.author | Rao, HR | - |
dc.date.accessioned | 2024-01-21T04:37:05Z | - |
dc.date.available | 2024-01-21T04:37:05Z | - |
dc.date.created | 2021-09-03 | - |
dc.date.issued | 2005-08 | - |
dc.identifier.issn | 0167-9236 | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/136264 | - |
dc.description.abstract | What dimensions can be identified in the trust formation processes in Business-to-Consumer (B-to-C) electronic commerce (e-commerce)? How do these differ in importance between academia and practitioners? The purpose of this research is to build a model of multidimensional trust formation for online exchanges in B-to-C electronic commerce. Further, to study the relative importance of the dimensions between two expert groups (academics and practitioners), two semantic network and content analyses are conducted: one for academia's perspectives and another for practitioners' perspectives of trust in B-to-C electronic commerce. The results show that the two perspectives are divergent in some ways and complementary in other ways. We believe that the two need to be combined to represent meaningful trust-building mechanisms in websites. (c) 2004 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER | - |
dc.subject | USER ACCEPTANCE | - |
dc.subject | INTERNET | - |
dc.subject | CONSUMER | - |
dc.subject | TECHNOLOGY | - |
dc.title | A multidimensional trust fort-nation model in B-to-C e-commerce: a conceptual framework and content analyses of academia/practitioner perspectives | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.dss.2004.01.006 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | DECISION SUPPORT SYSTEMS, v.40, no.2, pp.143 - 165 | - |
dc.citation.title | DECISION SUPPORT SYSTEMS | - |
dc.citation.volume | 40 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 143 | - |
dc.citation.endPage | 165 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.wosid | 000232524100001 | - |
dc.identifier.scopusid | 2-s2.0-13944261653 | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.type.docType | Review | - |
dc.subject.keywordPlus | USER ACCEPTANCE | - |
dc.subject.keywordPlus | INTERNET | - |
dc.subject.keywordPlus | CONSUMER | - |
dc.subject.keywordPlus | TECHNOLOGY | - |
dc.subject.keywordAuthor | multidimensional trust formation model | - |
dc.subject.keywordAuthor | online exchange | - |
dc.subject.keywordAuthor | B-to-C electronic commerce | - |
dc.subject.keywordAuthor | content analysis | - |
dc.subject.keywordAuthor | semantic network analysis | - |
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