 Evaluating ERP projects using DEA and regression analysisS. Parthasarathy and N. Anbazhagan International Journal of Business Information Systems, 2008, vol. 3, issue 2, 140-157 Abstract: Enterprise Resource Planning (ERP) projects appear to be a dream come true. This study evaluates ten ERP projects based on their productivity using Data Envelopment Analysis (DEA). The results of the DEA for preeminent ERP projects are uploaded into a project database. Regression analysis is then applied to the data in the project database to predict the efforts required for new ERP projects to acquire high productivity. Extensive literature survey shows that the DEA is the preeminent slant to evaluate ERP projects. The upshots of the study are: (1) Function Points (FP) and project efforts are the performance indicators of the ERP projects from the viewpoint of software engineering; (2) Lines of Code (LOC) have considerable influence over the efficiency of ERP projects; and (3) DEA, in combination with regression analysis, produces fruitful results for the ERP projects. Future directions in the performance enhancement of ERP projects are also indicated. Keywords: enterprise resource planning; ERP projects; ERP evaluation; data envelopment analysis; DEA; regression analysis; software engineering; function points; lines of code; productivity; performance indicators; efficiency; business information systems. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:3:y:2008:i:2:p:140-157 Access Statistics for this article More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd |
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