The Relative Efficiency of Departments at a Turkish Engineering College: A Data Envelopment Analysis

Abstract

In this study, Data Envelopment Analysis is used to measure relative efficiencies of academic departments of an engineering college. Input and output criteria are determined and measured utilizing the academic personnel performance measurement scheme of the College. New measures are developed to compare departments of different disciplines. The discriminating power of the measurement models is improved by restricting criteria weights directly and by using a multiple criteria decision making approach. Sensitivity of the results to exclusion of a criterion and changes in relative importance of the criteria is analyzed. Evaluation of the results jointly by the college administration and the departments is explained for a successful efficiency improvement mechanism.

Efficiency in education: a review of literature and a way forward

“…In addition, the production function can be influenced by various factors which are beyond the control of the evaluated observation. Observed in: Taylor and Johnes (1989), Beasley (1990Beasley ( ) (1995, Kao and Yang (1992), Johnes and Johnes (1993, Sinuany et al (1994), , , Athanassopoulos and Shale (1997), , Haksever and Muriagishi (1998), McMillan and Datta (1998), Sarrico and Dyson (2000), Thursby (2000), Ying and Sung (2000), Avkiran (2001), Korhonen et al (2001), Abbott and Doucouliagos (2002) Koksal and Nalcaci (2006), McMillan and Chan (2006), Agasisti and Salerno (2007), Anderson et al (2007), Fandel (2007, Tauer et al (2007), , Johnes and Yu (2008), Kao and Hung (2008), Kuo and Ho (2008), Ray and Jeon (2008), Worthington and Lee (2008) (2010), Dehnokhalaji et al (2010), Kantabutra and Tang (2010), Katharaki and Katharakis (2010), Kempkes and Pohl (2010), Rayeni and Saljooghi (2010), Agasisti et al (2011Agasisti et al ( ) (2012, Johnes and Schwarzenberger (2011), Kounetas et al (2011), Kuah and Wong (2011), , Thanassoulis et al (2011), WolszczakDerlacz and Parteka (2011), Eff et al (2012), …”

“…Research income/ Tuition fees/ outside funding Beasley (1990), Breu and Raab (1994), Beasley (1995), Athanassopoulos and Shale (1997), Heshmati and Kumbhakar (1997), Haksever and Muragishi (1998), Ying and Sung (2000), Dolton et al (2003), Koksal and Nalcaci (2006), Fandel (2007), Kempkes and Pohl (2010), Wolszczak-Derlacz and Parteka (2011). Size (number of students, student per class, proportion of boys and girls) Sfeir (1986) (1988), , Jimenez and Paqueo (1996), , Athanassopoulos and Shale (1997), Heshmati and Kumbhakar (1997), Thursby (2000), Mizala et al (2002), Hanushek and Luque (2003), Flegg et al (2004), Agasisti and Dal Bianco (2006) (2009), (2008), Koksal and Nalcaci (2006), Johnes and Yu (2008), Kao and Hung (2008), Ray and Jeon (2008), Worthington and Lee (2008), Agasisti and Johnes (2009), Agasisti and Pérez-Esparrells (2010), Bradley et al (2010), Essid et al (2010) (2013) (2014), Kounetas et al (2011), Kuah andWong (2011), Perelman andSantín (2011a), Wolszczak-Derlacz and Parteka (2011), , Kirjavainen (2012), …”

“…Teacher methods/ organization and management/ quality/innovation Bessent and Bessent (1980), , Kirjavainen and Loikkanen (1998), Mizala et al (2002), Dolton et al (2003), Oliveira and Santos (2005), Afonso and Aubyn (2006), Agasisti and Salerno, (2007), Giménez et al (2007), Carpenter and Noller (2010), Cherchye et al (2010), Dehnokhalaji et al (2010), Sarrico et al (2010), , Montoneri et al (2012), Bayraktar et al (2013), De Witte and Kortelainen (2013), Deutsch et al (2013), , Zoghbi et al (2013), Nazarko and Saparauskas (2014). Teacher salary Butler and Monk (1985), Sengupta and Sfeir (1986) (1988, , Duncombe et al (1997), Grosskopf et al (1997Grosskopf et al ( ) (1999, Ruggiero and Vitaliano (1999), Giménez and Martínez (2006), Koksal and Nalcaci (2006), Hu et al (2009, Gronberg et al (2012), , Johnson and Ruggiero (2014). Source: The authors A fourth category of inputs that should be noted refers to community-related variables.…”

The Relative Efficiencies of Research Universities of Science and Technology in China: Based on the Data Envelopment Analysis and Stochastic Frontier Analysis

“…Human resources include academic staff, non-academic staff (Selim et al, 2013;Veiderpass, & Mckelvey, 2014), and school enrollment (Aristovnik, & Obadic, 2014). Financial resources contain revenue or educational expenditure (Selim et al, 2013;Aristovnik et al, 2014), non-current assets, academic staff salaries (Köksal, & Nalçaci, 2006), scientific research projects (Selim et al, 2013), out-door and in-door area (Gökşen et al, 2015).…”

Türkiye’de kamu üniversitelerinin eğitim-araştırma etkinlikleri ve etkinlik artışında stratejik önceliklerin rolü: Çok-aktiviteli VZA uygulaması

“…Türkiye için yapılan çalışmalardan, Çok Kriterli VZA adı verilen yöntemi kullanan Köksal ve Nalçacı (2006) Bir üretim biriminin üretkenliği, bu birim tarafından üretilen çıktıların (ağırlıklı) toplamının kullanılan girdilerin (ağırlıklı) toplamına bölünmesi ile bulunur. Benzer üretim birimleri üretkenlikleri açısından karşılaştırıldığında ise, ya veri bir teknoloji altında geçerli ve ilgili endüstrideki üretim sürecine uygun bir üretim fonksiyonu tanımlanmalı; ya da birimlerin göreli karşılaştırılmasından böyle bir fonksiyon tahmin edilebilmelidir.…”