Assessment of academic departments efficiency using data envelopment analysis

Abstract

Abstract:Purpose: In this age of knowledge economy, universities play an important role in the development of a country. As government subsidies to universities have been decreasing, more efficient use of resources becomes important for university Findings: Results show that the average efficiency score is 68.5% and that there are 10 efficient departments out of the 30 studied. It is noted that departments in the faculty of science, engineering and information technology have to greatly reduce their laboratory expenses. The department of economics and finance was found to have the highest super efficiency score among the efficient departments.

Shapley value-based multi-objective data envelopment analysis application for assessing academic efficiency of university departments

“…Sensitivity analysis is applied to test the robustness of the efficiency results. Similarly, academic departments of a university in Gaza are assessed by Agha et al (2011) in terms of its technical efficiencies. Superefficiency analysis is applied to efficient departments to determine the most efficient department.…”

“…It identifies the sources and level of inefficiency for each input and output (Cooper et al 2007). DEA has been successfully applied in various fields such as: (a) evaluation of the relative technical efficiencies of academic departments of a university in Gaza, Egypt (Agha et al 2011), (b) evaluation of the relative efficiency of public and private higher education institutions in Brazil (Zoghbi et al 2013), (c) assessment of the performance levels of departments of a university in Turkey (Goksen et al 2015), (d) assessment of the efficiency of agricultural farms in different regions of Turkey (Atici and Podinovski 2015), (e) estimation of the relative efficiency of local municipalities in traffic safety in Israel (Alper et al 2015), (f) evaluation of the performance of the supply chain operations (Tajbakhsh et al 2015), and (g) evaluation of electricity distribution companies under uncertainty about input/output data (Hafezalkotob et al 2015). As an extension to the conventional DEA model, multiple objective-based models are further introduced.…”

Evaluating the Relative Efficiency of Commercial Banks in Turkey: An Integrated AHP/DEA Approach

“…Its basic foundation was generated from Farrell's (1957) original work that was later popularized by Charnes et al (1978). DEA provides a single measure and easily deals with multiple inputs and multiple outputs (Agha et al, 2011).…”

An Efficiency Evaluation Model for Academic Faculties of a Leading University by Data Envelopment Analysis

“…Although there are numerous studies focused on the efficiency of universities, university departments and so on in different countries around the world using various parametric and non-parametric methods (Kokkelenberg et al 2008;Al-Shayea and Battal, 2013;Izadi et al 2002;Glass et al 2006;McMillan and Chan, 2006;Worthington and Lee, 2008;Abbott and Doucouliagos, 2003;Tzeremes and Halkos, 2010;Johnes and Johnes, 1993;Tauer et al 2007;Kao and Hung, 2008;Colbert et al 2000;Agha et al 2011), it is limited in Turkey. Therefore, we aim at contributing the current literature by this way considering efficiency analysis of faculties of a Turkish university.…”

“…They conclude that there are strong inefficiencies among the departments, indicating misallocation of resources or/and inefficient application of departments policy developments. Agha et al (2011) study the evaluation of the relative technical efficiencies of academic departments at the Islamic University in Gaza during the years 2004-2006 using DEA. They use operating expenses, credit hours and training resources as inputs and number of graduates, promotions and public service activities as outputs variables.…”