Journal of Engineering and Applied Sciences

Year: 2017
Volume: 12
Issue: 15
Page No. 3899 - 3904

Efficiency of Colleges at Prince Sattam Bin Abdulaziz University, Al Kharj (A Comparative Study using Data Envelopment Analysis)

Authors : Teg Alam

Abstract: The well-organized university is considered as one of the main mechanisms of effective and sustainable ways to develop nation and human in all over the globe. In Saudi Arabia’s context, there are limited research works regarding this field. The present study is based on primary and secondary data. This study completed into two phases. In the first phase, the study shown the application of Data Envelopment Analysis (DEA) to evaluate the efficiency of 20 colleges at Prince Sattam bin Abdulaziz University (PSAU) which is based on secondary data. The secondary data was taken from the University Statistical Department. In this study, the enrolled students and the teaching staff are the input variables and total number of graduates and total number of researches are output variables. In this phase, non-parametric approach (DEA); the scale efficiency measurement (output oriented) isused to estimate the efficiency of colleges for the session of 2014-15 and 2015-16. Also, the GAP analysis has been used to compare the efficiency of colleges for the both session. The second phase is based on primary data. The close ended questionnaire techniques used for getting information of parent’s opinion regarding service quality of the university. After completion of data collection; the parametric approach have been used for data analyzing. The study provides an in sight to assists the scholars and administrators in eliminating the inadequacies. Also, the study provides suggestions and recommendations to University Administrations which will help to identify the factors which stand in the way of being efficient university.

How to cite this article:

Teg Alam , 2017. Efficiency of Colleges at Prince Sattam Bin Abdulaziz University, Al Kharj (A Comparative Study using Data Envelopment Analysis). Journal of Engineering and Applied Sciences, 12: 3899-3904.

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