The role of readiness for change in ERP implementation: Theoretical bases and empirical validation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwahk, Kee-Young | - |
dc.contributor.author | Lee, Jae-Nam | - |
dc.date.accessioned | 2021-09-09T03:07:52Z | - |
dc.date.available | 2021-09-09T03:07:52Z | - |
dc.date.created | 2021-06-10 | - |
dc.date.issued | 2008-11 | - |
dc.identifier.issn | 0378-7206 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/122495 | - |
dc.description.abstract | Implementation of ERP systems continues to drive change in organizations. However, the effort is often considered a failure, partially because potential users resist the change. Readiness plays an active role in reducing resistance to such efforts. Therefore, we examined the formation of readiness for change and its effect on the perceived technological value of an ERP system leading to its use. We developed a model of readiness for change incorporating TAM and TPB. The model was then empirically tested using data collected from users of ERP systems in Korea. Structural equation analysis using LISREL provided significant support for all proposed relationships. Specifically, we found that readiness for change had an indirect effect on behavioral intention to use an ERP system. At the same time, readiness for change was found to be enhanced by two factors: organizational commitment and perceived personal competence. (c) 2008 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.subject | INFORMATION-TECHNOLOGY | - |
dc.subject | PERCEIVED USEFULNESS | - |
dc.subject | USER ACCEPTANCE | - |
dc.subject | MODEL | - |
dc.subject | DETERMINANTS | - |
dc.subject | ANTECEDENTS | - |
dc.subject | RESISTANCE | - |
dc.subject | SYSTEMS | - |
dc.subject | EASE | - |
dc.title | The role of readiness for change in ERP implementation: Theoretical bases and empirical validation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Jae-Nam | - |
dc.identifier.doi | 10.1016/j.im.2008.07.002 | - |
dc.identifier.scopusid | 2-s2.0-52149084356 | - |
dc.identifier.wosid | 000260289100008 | - |
dc.identifier.bibliographicCitation | INFORMATION & MANAGEMENT, v.45, no.7, pp.474 - 481 | - |
dc.relation.isPartOf | INFORMATION & MANAGEMENT | - |
dc.citation.title | INFORMATION & MANAGEMENT | - |
dc.citation.volume | 45 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 474 | - |
dc.citation.endPage | 481 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Information Science & Library Science | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Information Science & Library Science | - |
dc.relation.journalWebOfScienceCategory | Management | - |
dc.subject.keywordPlus | INFORMATION-TECHNOLOGY | - |
dc.subject.keywordPlus | PERCEIVED USEFULNESS | - |
dc.subject.keywordPlus | USER ACCEPTANCE | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | DETERMINANTS | - |
dc.subject.keywordPlus | ANTECEDENTS | - |
dc.subject.keywordPlus | RESISTANCE | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | EASE | - |
dc.subject.keywordAuthor | Organizational change | - |
dc.subject.keywordAuthor | Readiness for change | - |
dc.subject.keywordAuthor | ERP systems | - |
dc.subject.keywordAuthor | User behavior toward IT | - |
dc.subject.keywordAuthor | Technology acceptance model | - |
dc.subject.keywordAuthor | Theory of planned behavior | - |
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.