This paper presents a comprehensive review on recent applications of DEA techniques on measuring the relative efficiency of project management units. The study covers the implementation of DEA method for measuring the relative efficiency of enterprise resources planning, research and development and construction projects. | Measuring the relative efficiency of project management using data envelopment analysis Journal of Project Management 1 2016 1 6 Contents lists available at GrowingScience Journal of Project Management homepage Measuring the relative efficiency of project management using data envelopment analysis Sara Oroujia a Growing Science Toronto Canada CHRONICLE ABSTRACT Article history Measuring the relative efficiency of similar units has been an open research for years. Data Received October 1 2016 envelopment analysis DEA has been widely used among researchers for efficiency measure- Received in revised format No- ment. DEA uses different inputs outputs to measure the relative efficiency of one unit compared vember 16 2016 with other similar units. This paper presents a comprehensive review on recent applications of Accepted January 20 2017 Available online DEA techniques on measuring the relative efficiency of project management units. The study January 20 2017 covers the implementation of DEA method for measuring the relative efficiency of enterprise Keywords resources planning research and development and construction projects. DEA Project management Efficiency 2017 Growing Science Ltd. 1. Introduction For years there have been significant efforts to implement data envelopment analysis DEA for meas- uring the relative efficiency of similar units Charnes et al. 1978 Banker et al. 1984 . DEA has been commonly applied when input output are not measurable by applying financial figures. For example in educational systems one may be interested in promoting schools with students who reach academic excellence. In electricity industry there are many units in the world which are reporting lost in their statements due to various reasons and any additional budgets must be based on non-financial numbers such as the number customers covered the volume of electricity transmitted etc. Fig. 1 shows a sample of different factors influencing on efficiency .
