Learning from Model ERP Projects

Learning from Model ERP Projects

Piotr Soja, Dariusz Put
Copyright: © 2007 |Pages: 18
DOI: 10.4018/jeis.2007040104
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Abstract

The main purpose of this article is to identify the characteristics of enterprise resource plan-ning (ERP) implementations connected with project success. The study combines two statistical methods of clustering analysis employing Ward’s hierarchical and k-means nonhierarchical methodologies. The ERP projects are described by 12 attributes divided into effort, effect, and success indicators. The analysis draws on research conducted among a few dozen companies implementing an ERP system into their organisations. The investigated projects were divided into groups of homogenous elements on the basis of the attribute values. Next, the obtained clusters were ordered using the average value of success achieved. In consequence, the groups with the most desirable attributes were recognised and the clusters with the least desirable char-acteristics were extracted. The thorough examination of these extreme groups containing model and antimodel projects was the basis for drawing conclusions for practitioners and researchers towards ERP projects enhancement.

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