Comments on Information technology project evaluation: An integrated data envelopment analysis and balanced scorecard approach and a new ranking algorithm

Abstract

This paper improves the integrated data envelopment analysis (DEA) model proposed by Asosheh et al. [1], for evaluating and ranking information technology (IT) projects in presence of both cardinal and ordinal data. They used balanced scorecard (BSC) for defining IT projects evaluation criteria and introduced a new DEA model to obtain most efficient IT project by considering imprecise data. This paper shows that their model randomly selects one efficient decision making unit (DMU) or IT project as the most efficient and the selection depends on the program or method is used for solving the problem. We develop their idea and propose a modified model to determine the most efficient DMU. In addition, this paper proposes a new algorithm for finding and ranking other efficient DMUs. The capability and usefulness of the proposed model is indicated by a numerical example.