This paper attempts to discover the most desired attributes of a model ERP implementation project. The analysis, based on research conducted among a few dozen companies implementing an ERP system, employs the statistical methods of element grouping. First, using an agglomeration method, the number of groups was determined, which was used as a parameter in the subsequently applied k-Means method. The groups of homogenous projects were extracted, which were next ordered on the basis of average value of success measures achieved. In consequence, a group having the most desirable characteristics was distinguished, and the elements having the best parameters were recognized. On the opposite pole, objects with the least desirable characteristics were extracted from the group with the smallest average value of success measures. This procedure was applied three times, using: all indicators obtained during the research; exclusively indicators defining the implementation process; and only the measure of implementation effects.
Soja, Pitor and Put, Dariusz, "Identifying Model ERP Implementations" (2005). AMCIS 2005 Proceedings. 168.