Please use this identifier to cite or link to this item:
|Title:||Analysing interaction effects on MRP implementation using ACE|
|Authors:||Sum, C.-C. |
|Keywords:||Alternating conditional expectations (ACE)|
Non-linear regression models
|Citation:||Sum, C.-C.,Quek, S.-A.,Lim, H.-E. (1999). Analysing interaction effects on MRP implementation using ACE. International Journal of Production Economics 58 (3) : 303-318. ScholarBank@NUS Repository.|
|Abstract:||This research represents the first study to examine the significance of interactions among individual determinant variables in affecting MRP implementation outcome. A powerful statistical technique, alternating conditional expectations (ACE), was used to maximise the model fit and to uncover underlying non-linear relationships between implementation success and its determinant variables. The final ACE model indicates that interaction effects are significant in affecting MRP implementation outcome. The analytic transformations from the ACE model presented new insights and information into the MRP implementation process. The managerial implications arising for the findings are also discussed.|
|Source Title:||International Journal of Production Economics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 22, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.