Please use this identifier to cite or link to this item:
https://doi.org/10.1016/S0378-7206(01)00096-9
DC Field | Value | |
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dc.title | A multiple-case design methodology for studying MRP success and CSFs | |
dc.contributor.author | Ang, J.S.K. | |
dc.contributor.author | Sum, C.-C. | |
dc.contributor.author | Yeo, L.-N. | |
dc.date.accessioned | 2013-10-09T03:22:57Z | |
dc.date.available | 2013-10-09T03:22:57Z | |
dc.date.issued | 2002 | |
dc.identifier.citation | Ang, J.S.K., Sum, C.-C., Yeo, L.-N. (2002). A multiple-case design methodology for studying MRP success and CSFs. Information and Management 39 (4) : 271-281. ScholarBank@NUS Repository. https://doi.org/10.1016/S0378-7206(01)00096-9 | |
dc.identifier.issn | 03787206 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/43947 | |
dc.description.abstract | We used a multiple-case design to study materials requirements planning (MRP) implementation outcome in 10 manufacturing companies in Singapore. Using a two-phased data collection approach (pre-interview questionnaires and personal interviews), we sought to develop a comprehensive and operationally acceptable measure of MRP success. Our measure consists of two linked components. They are a satisfaction score (a quantitative measure) and a complementary measure based on comments from the interviewees regarding the level of usage and acceptance of the system. We also extended and consolidated a seven-factor critical success factor (CSF) framework using this methodology. CSFs are important, but knowing the linkages between them is even more important, because these linkages tell us which CSFs to emphasize at various stages of the project. © 2002 Elsevier Science B.V. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0378-7206(01)00096-9 | |
dc.source | Scopus | |
dc.subject | Critical success factors (CSFs) | |
dc.subject | Materials requirements planning (MRP) | |
dc.subject | MRP implementation outcome | |
dc.subject | Multiple-case design | |
dc.type | Article | |
dc.contributor.department | DECISION SCIENCES | |
dc.description.doi | 10.1016/S0378-7206(01)00096-9 | |
dc.description.sourcetitle | Information and Management | |
dc.description.volume | 39 | |
dc.description.issue | 4 | |
dc.description.page | 271-281 | |
dc.description.coden | IMAND | |
dc.identifier.isiut | 000173105000003 | |
Appears in Collections: | Staff Publications |
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