Analysing interaction effects on MRP implementation using ACE

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 underly...

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Bibliographic Details
Published in:International journal of production economics 1999-01, Vol.58 (3), p.303-318
Main Authors: Sum, Chee-Chuong, Quek, Ser-Aik, Lim, Hoon-Eng
Format: Article
Language:English
Subjects:
Alternating conditional expectations (ACE)
Applied sciences
Exact sciences and technology
Interaction effects
Inventory control, production control. Distribution
MRP implementation
Non-linear regression models
Operational research and scientific management
Operational research. Management science
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Summary: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.
ISSN:0925-5273
1873-7579
DOI:10.1016/S0925-5273(98)00205-9