Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/74295
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Type: | Journal article |
Title: | Enterprise resource planning adoption: structural equation modeling analysis of antecedents |
Author: | Ram, J. Corkindale, D. Wu, M. |
Citation: | Journal of Computer Information Systems, 2013; 54(1):53-65 |
Publisher: | Int Assoc Computer Info System |
Issue Date: | 2013 |
ISSN: | 0887-4417 2380-2057 |
Organisation: | Entrepreneurship, Commercialisation & Innovation Centre |
Statement of Responsibility: | Jiwat Ram, David Corkindale and Ming-Lu Wu |
Abstract: | This 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. |
Keywords: | adoption enterprise resource planning (ERP) structural equation modeling (SEM) partial least square (PLS) implementation |
Rights: | © Copyright, IACIS |
DOI: | 10.1080/08874417.2013.11645671 |
Description (link): | http://www.iacis.org/jcis/jcis_toc.php?volume=54&issue=1 |
Published version: | http://dx.doi.org/10.1080/08874417.2013.11645671 |
Appears in Collections: | Aurora harvest Entrepreneurship, Commercialisation, and Innovation Centre publications |
Files in This Item:
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hdl_74295.pdf | Accepted version | 675.88 kB | Adobe PDF | View/Open |
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