A framework for measuring productivity in higher learning institutions using data envelopment analysis

Measuring the productivity in Higher learning Institutions (HLI) has been an essential task for the purpose of rvaluating, controling, planning and improving. Traditionally, productivity is defined as the ratio of output over input. However, the output of HLI is difficult to measure because it requires certain standard for measuring the quality of graduate students. Most of the previous studies focus on quality measurement of HLI that emphasize quantity than quality and efficiency regardless of effectiveness. Therefore, this paper is suggesting a best framework for measuring the productivity in HLI. In the proposed framework, productivity is measured by incorporating both efficiency and effectiveness. Hence, the Data Envelopment Analysis (DEA) model will be used to analyze efficiency, effectiveness and productivity of the HLI. The potential combination of this performance dimensions hopefully will give ideas and guidance to the decision makers regarding productivity in the HLI.