An Evaluation of the Financial Performance of REITs in Borsa Istanbul: A Case Study Using the Entropy-Based TOPSIS Method

Islamoğlu, Mehmet Sami; Apan, Mehmet; Öztel, Ahmet

doi:10.5430/ijfr.v6n2p124

Cited by 39 publications

(20 citation statements)

References 17 publications

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“…Weighting: ENTROPY Method: Now, we give the process of assigning weighting value for criteria via entropy method (Alp, Öztel, & M. Said, 2015;Hwang & Yoon, 1981;Islamoglu, Apan, & Oztel, 2015;Öztel, Köse, & Aytekin, 2012). Let mxn dimensional D be decision matrix with m alternative and n criteria as below;…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of University Employees’ Work Behaviours Performance via Entropy Based Topsis Methods

Karakaş¹,

Kıngır²,

Öztel³

2016

Elektronik Sosyal Bilimler Dergisi

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This study is aimed to measure the employees' job performance behavior via the entropy based TOPSIS methods. For this purpose, work behaviors; burnout, emotional labor, intention to leave, and job satisfaction scales are taken as assessment criteria and a questionnaire is applied on public university employees. Integrated evaluation of all criteria is vital for performance measurement. At this point multi-criteria decision-making methods present an appropriate framework. MCDM methods are very suitable decision tools for measuring employee's performance. This method is used in order to measure performance for not only the number of work but also the attitude according to business, enterprise, and people getting services. Considering the researches done via TOPSIS are few, this work contributes to the literature. Because of appropriate scales are in opposite directions, TOPSIS method accepted as a MCDM method is used to reduce all scales to only one value. As a result, applying TOPSIS method in terms of measuring employees' job performance can conduct to measure qualitative works converting into quantitative works. Keywords: TOPSIS, Performance Management, Employee Evaluation ÖzBu çalışmanın amacı, entropy tabanlı TOPSĐS yöntemi ile çalışanların iş davranışı performansının ölçülmesidir. Bu amaçla iş davranışlarından; tükenmişlik, duygusal emek, işten ayrılma niyeti ve iş tatmini ölçekleri değerlendirme kriteri kabul edilerek bir kamu üniversitesi çalışanlarına anket uygulanmıştır. Tüm kriterlerin bütünleşik olarak değerlendirilmesi performans ölçümü için hayati öneme sahiptir. Bu açıdan bakıldığında, çok kriterli karar verme yöntemleri uygun bir çatı sunmaktadır. Çok kriterli karar verme yöntemleri insan kaynakları alanında performans değerlemede kullanılmaktadır. Performans değerlemeyi sadece yapılan iş sayısına göre değil, işletmeye karşı, işe karşı, hizmet verilen kişilere karşı tutumlara göre ölçmek amacıyla bu yöntem kullanılmıştır. TOPSĐS yöntemi ile yapılan çalışmaların az olduğu dikkate alınırsa, literatüre katkı sağlayacağı düşünülmektedir. Ölçeklerdeki en uygun durumlar, zıt yönlü olduğu için bu ölçekleri bir tek değere indirgemek için çok kriterli karar verme yöntemlerinden biri olarak kabul edilen TOPSIS yöntemi uygulaması sonucunda, iş davranışları performans ölçümü konusunda, nitel çabaların nicel hale getirilerek ölçülmesi bağlamında katkı sağladığı düşünülmektedir.

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Section: Discussionmentioning

confidence: 99%

“…(Hwang & Yoon, 1981) is based on to choose the alternative which is the closest to ideal solution and the farthest to anti-ideal solution. The steps of this method is given below (Hwang & Yoon, 1981;Islamoglu et al, 2015):…”

Section: Discussionmentioning

confidence: 99%

Evaluation of University Employees’ Work Behaviours Performance via Entropy Based Topsis Methods

Karakaş¹,

Kıngır²,

Öztel³

2016

Elektronik Sosyal Bilimler Dergisi

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“…The entropy method can be summarized as follows. D is defined with decision matrix of m alternatives and n criteria 21–24 where A İ : the i -th alternative considered, xij: the performance value of i -th alternative for j -th criterion, i = 1,2,…. m , and j = 1,2,….…”

Section: Methodsmentioning

confidence: 99%

Cellulose nanofibrils and nano-scaled titanium dioxide-reinforced biopolymer nanocomposites: Selecting the best nanocomposites with multicriteria decision-making methods

Gümüş

Aydemir

Altuntaş

et al. 2019

Journal of Composite Materials

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The aim of the paper is to determine the effects of nano fillers such as cellulose nanofibrils and nano-scaled titanium dioxide on some properties of polyhydroxybutyrate and polylactic acid biopolymers; it also determined the selection of biopolymer nanocomposites with the optimum properties by using multicriteria decision-making methods such as multi-attribute utility theory, simple additive weighting, and weighted aggregated sum product assessment. Test results showed that the mechanical properties of the biopolymer nanocomposites generally increased with the addition of the cellulose nanofibrils and nano-scaled titanium dioxide. However, the addition of nano-scaled titanium dioxide decreased the tensile modulus. The addition of the cellulose nanofibrils had a higher effect on the tensile and flexure modulus of elasticity than the addition of the nano-scaled titanium dioxide. Thermal properties were generally found to improve with the addition of the cellulose nanofibrils and nano-scaled titanium dioxide. Melting temperature (Tm) generally decreased with the addition of the nano fillers. The scanning electron microscopic images showed that the nano fillers were dispersed as white dots in the biopolymer matrix. After accelerated weathering and decay test, outdoor performance of the biopolymer nanocomposites was found to be improved with the addition of the nano fillers. Multicriteria decision-making methods were conducted to determine the biopolymer nanocomposites having the optimum properties, and all the methods showed that the best biopolymer nanocomposites was polylactic acid with 1% cellulose nanofibrils.

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“…52 If the decision matrix with sufficient information for the alternatives is available, then the entropy method can be used as a tool to determine the significance rankings, i.e., the weighting values of the criteria. 28,[53][54][55] The method can be summarized as follows: [56][57] Let the decision matrix for a multi-criteria decision making problem with m alternatives and n criteria be Equation (1):…”

Section: Entropy Methods For Criteria Weightingmentioning

confidence: 99%

Evaluation of the wear behavior of nitride-based PVD coatings using different multi-criteria decision-making methods

Küçük¹,

Öztel²,

Balali³

et al. 2017

Mater. tehnol.

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An Evaluation of the Financial Performance of REITs in Borsa Istanbul: A Case Study Using the Entropy-Based TOPSIS Method

Cited by 39 publications

References 17 publications

Evaluation of University Employees’ Work Behaviours Performance via Entropy Based Topsis Methods

Evaluation of University Employees’ Work Behaviours Performance via Entropy Based Topsis Methods

Cellulose nanofibrils and nano-scaled titanium dioxide-reinforced biopolymer nanocomposites: Selecting the best nanocomposites with multicriteria decision-making methods

Evaluation of the wear behavior of nitride-based PVD coatings using different multi-criteria decision-making methods

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