How Perceived Quality Works in New Technology Adoption Process: A Cross-National Comparison among China, Korea and Japan
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Ji Yoon | - |
dc.contributor.author | Yuan, Xina | - |
dc.contributor.author | Kim, Sang Yong | - |
dc.contributor.author | Lee, Young Joo | - |
dc.date.accessioned | 2021-09-05T09:54:38Z | - |
dc.date.available | 2021-09-05T09:54:38Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2014-04 | - |
dc.identifier.issn | 1062-7375 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/98815 | - |
dc.description.abstract | This study attempts to explore the role of consumer's perception of quality within the new technology adoption process which is given little attention in the field of Information systems. In this regard, the authors developed an exploratory conceptual model in the level of consumer perception by exploring the antecedent of perceived quality. Three factors are introduced as determinants of perceived quality: perceived usefulness, perceived risk and trialability. Moreover, the authors investigate cross national differences among three countries including China, Korea and Japan by estimating our proposed model. An empirical study is conducted with analysis of the adoption mechanism for a new innovative product. Data analysis results support the authors proposed hypotheses, and significant differences are found among the three countries in regards to the new technology adoption process. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IGI PUBL | - |
dc.subject | CULTURAL-DIFFERENCES | - |
dc.subject | CUSTOMER SATISFACTION | - |
dc.subject | PRODUCT ADOPTION | - |
dc.subject | ACCEPTANCE MODEL | - |
dc.subject | BRAND EQUITY | - |
dc.subject | RISK | - |
dc.subject | INNOVATIVENESS | - |
dc.subject | PERCEPTIONS | - |
dc.subject | INTERNET | - |
dc.subject | SERVICES | - |
dc.title | How Perceived Quality Works in New Technology Adoption Process: A Cross-National Comparison among China, Korea and Japan | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Ji Yoon | - |
dc.contributor.affiliatedAuthor | Kim, Sang Yong | - |
dc.identifier.doi | 10.4018/jgim.2014040102 | - |
dc.identifier.scopusid | 2-s2.0-84927717648 | - |
dc.identifier.wosid | 000343388100002 | - |
dc.identifier.bibliographicCitation | JOURNAL OF GLOBAL INFORMATION MANAGEMENT, v.22, no.2, pp.23 - 47 | - |
dc.relation.isPartOf | JOURNAL OF GLOBAL INFORMATION MANAGEMENT | - |
dc.citation.title | JOURNAL OF GLOBAL INFORMATION MANAGEMENT | - |
dc.citation.volume | 22 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 23 | - |
dc.citation.endPage | 47 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Information Science & Library Science | - |
dc.relation.journalWebOfScienceCategory | Information Science & Library Science | - |
dc.subject.keywordPlus | CULTURAL-DIFFERENCES | - |
dc.subject.keywordPlus | CUSTOMER SATISFACTION | - |
dc.subject.keywordPlus | PRODUCT ADOPTION | - |
dc.subject.keywordPlus | ACCEPTANCE MODEL | - |
dc.subject.keywordPlus | BRAND EQUITY | - |
dc.subject.keywordPlus | RISK | - |
dc.subject.keywordPlus | INNOVATIVENESS | - |
dc.subject.keywordPlus | PERCEPTIONS | - |
dc.subject.keywordPlus | INTERNET | - |
dc.subject.keywordPlus | SERVICES | - |
dc.subject.keywordAuthor | Cross-County Differences | - |
dc.subject.keywordAuthor | New Technology Adoption Process | - |
dc.subject.keywordAuthor | Perceived Quality | - |
dc.subject.keywordAuthor | Perceived Risk | - |
dc.subject.keywordAuthor | Perceived Usefulness | - |
dc.subject.keywordAuthor | Trialability | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.