Show simple item record

dc.contributor.authorStensrud, Erik
dc.contributor.authorMyrtveit, Ingunn
dc.description.abstractLearning from high performance projects is crucial for software process improvement. Therefore, we need to identify outstanding projects that may serve as role models. It is common to measure productivity as an indicator of performance. It is vital that productivity measurements deal correctly with variable returns to scale and multivariate data. Software projects generally exhibit variable returns to scale, and the output from ERP projects is multivariate. We propose to use Data Envelopment Analysis Variable Returns to Scale (DEA VRS) to measure the productivity of software projects. DEA VRS fulfils the two requirements stated above, and to our knowledge, it is the only method complying with them. The results from this empirical study of 30 ERP projects extracted from a benchmarking database in Accenture identified six projects as potential role models. These projects deserve to be studied and probably copied as part of a software process improvement initiative. The results also suggest that there is a 50% potential for productivity improvement, on average. Finally, the results support the assumption of variable returns to scale in ERP projects. We recommend DEA VRS be used as the default technique for appropriate productivity comparisons of software projects. Used together with methods for hypothesis testing, DEA VRS is also a useful technique for assessing the effect of alleged process improvements.en
dc.format.extent347294 bytes
dc.relation.ispartofseriesDiscussion Paperen
dc.titleIdentifying High Performance ERP Projectsen
dc.typeWorking paperen
dc.subject.nsiVDP::Technology: 500::Information and communication technology: 550en

Files in this item


This item appears in the following Collection(s)

  • Discussion Papers [30]
    This collection contains BI's Discussion Papers series, published online from 2000. The series was terminated in 2009.

Show simple item record