Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/74295
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRam, J.-
dc.contributor.authorCorkindale, D.-
dc.contributor.authorWu, M.-
dc.date.issued2013-
dc.identifier.citationJournal of Computer Information Systems, 2013; 54(1):53-65-
dc.identifier.issn0887-4417-
dc.identifier.issn2380-2057-
dc.identifier.urihttp://hdl.handle.net/2440/74295-
dc.description.abstractThis study identifies the key antecedent factors for accomplishing the adoption stage of enterprise resource planning (ERP) systems. Five potential antecedent factors of adoption were derived from the literature, including that on innovation theories, and data were obtained from a sample of 217 organizations across Australia. A structural equation modeling (SEM) technique was used to examine the complex relationships between antecedents and the adoption decision. We found that there were three positive drivers of a successful outcome of the ERP adoption stage. Prior findings have shown that system quality is a key enabler for innovation adoption by individuals, and we found that system quality is also an important driver for organizational adoption of ERP. It was also indicated that organizations consider adopting ERP when the market and customer patterns are relatively stable rather than in turbulent environments.-
dc.description.statementofresponsibilityJiwat Ram, David Corkindale and Ming-Lu Wu-
dc.description.urihttp://www.iacis.org/jcis/jcis_toc.php?volume=54&issue=1-
dc.language.isoen-
dc.publisherInt Assoc Computer Info System-
dc.rights© Copyright, IACIS-
dc.source.urihttp://dx.doi.org/10.1080/08874417.2013.11645671-
dc.subjectadoption-
dc.subjectenterprise resource planning (ERP)-
dc.subjectstructural equation modeling (SEM)-
dc.subjectpartial least square (PLS)-
dc.subjectimplementation-
dc.titleEnterprise resource planning adoption: structural equation modeling analysis of antecedents-
dc.typeJournal article-
dc.contributor.organisationEntrepreneurship, Commercialisation & Innovation Centre-
dc.identifier.doi10.1080/08874417.2013.11645671-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest
Entrepreneurship, Commercialisation, and Innovation Centre publications

Files in This Item:
File Description SizeFormat 
hdl_74295.pdfAccepted version675.88 kBAdobe PDFView/Open


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