A Framework for Measuring Productivity in Higher Learning Institutions Using Data Envelopment Analysis

被引:1
作者
Kashim, Rosmaini [1 ]
Kasim, Maznah Mat [1 ]
Khan, Sahubar Ali Mohamed Nadhar [1 ]
Rahim, Rahela Abdul [1 ]
Hassan, Siti Safura [2 ]
机构
[1] Univ Utara Malaysia, Sch Quantitat Sci, Coll Arts & Sci, Sintok 06010, Kedah, Malaysia
[2] Int Islamic Univ Malaysia, Dept Anaesthesiol & Crit Care, Kuala Lumpur 25200, Malaysia
来源
INTERNATIONAL CONFERENCE ON QUANTITATIVE SCIENCES AND ITS APPLICATIONS (ICOQSIA 2014) | 2014年 / 1635卷
关键词
Productivity; higher learning institution; efficiency; effectiveness; data envelopment analysis; EFFICIENCY; UNIVERSITIES; PERFORMANCE; DEA;
D O I
10.1063/1.4903642
中图分类号
O59 [应用物理学];
学科分类号
摘要
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 HILT 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..
引用
收藏
页码:594 / 600
页数:7
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