Commercial off-the-shelf enterprise resource planning (ERP) systems have been adopted by large companies to support their inter- and intra-business processes. Midsize market firms are now investing in ERP systems too. However, research has indicated that about three quarters of attempted ERP projects turned out to be unsuccessful. A common problem encountered in adopting ERP software has been the issue of fit or alignment.
This paper presents an ERP misfit analysis methodology, grounded on the task-technology fit theory and cognitive fit theory, for measuring misfits between ERP candidates and enterprise¡¦s requirements in ex-ante implementation. A decision support system prototype embedded the approach has been developed. A usability evaluation is performed on the prototype to demonstrate the approach. With this approach, organizations can more easily and systematically determine where the misfits are and the degree of misfits, thereby reducing the risks in implementing ERP systems. Our research contributes to the practical solution of the problem of misfit analysis.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0527107-152504 |
| Date | 27 May 2007 |
| Creators | Shin, Shin-shing |
| Contributors | William S. Chao, Ming-Che Hsieh, Iuan-yuan Lu, Jen-her Wu, Shu-Chu Liu |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0527107-152504 |
| Rights | campus_withheld, Copyright information available at source archive |
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