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

Ar, İlker Murat; Kurtaran, Ahmet

doi:10.5539/ibr.v6n4p129

Cited by 10 publications

(2 citation statements)

References 58 publications

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“…\AHP is technically valid and does not require a large sample size". [78][79][80] Hence, in this research, two experts with more than 10 years of experience were selected to show their preferences and judgements. Three copies of the evaluation forms were revised by the experts, achieving a total of 28 comparisons.…”

Section: Obtaining Priority Judgement Ranking Scoresmentioning

confidence: 99%

Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods

Albahri

Al‐Obaidi

Zaidan

et al. 2020

Int. J. Info. Tech. Dec. Mak.

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Coronavirus disease (COVID-19) pandemic has a tremendous effect on people’s lives worldwide, and the number of infected patients increases daily. The healthcare sector is affected by a large number of patients with COVID-19, and a solution is urgently needed to avert the risk of deteriorating patients in terms of prioritizing patients based on their health conditions. Prioritization of patients with COVID-19 is a complex and multi-criteria decision-analysis (MCDA) problem due to (i) multiple biological laboratory examination criteria, (ii) criteria importance and (iii) trade-off amongst the criteria. This study presents a new multi-biological laboratory examination framework for prioritizing patients with COVID-19 on the basis of integrated MCDA methods. The experiment was conducted on the basis of three phases. In the first phase, patient datasets containing eight biological laboratory examination criteria for six patients with COVID-19 were derived and discussed. The outcome of this phase was used to propose a decision matrix on the basis of the intersection between “biological laboratory examination criteria” and “COVID-19 patients list”. In the second phase, the analytic hierarchy process (AHP) method was utilized to set the subjective weights for the biological laboratory examination criteria by respiratory experts. In the last phase, the VIekriterijumsko KOmpromisno Rangiranje (VIKOR) method was adopted to prioritize patients in the context of individual and group decision making (GDM). Results showed that (1) the integration of AHP–VIKOR method based on individual and GDM contexts was effective for solving prioritization problems for patients with COVID-19, and (2) the prioritization results of patients with COVID-19 showed no variation in the internal and external VIKOR GDM contexts. The proposed multi-biological laboratory examination framework can differentiate between the mild and serious or critical condition of patients with COVID-19 by prioritizing them based on integrated AHP–VIKOR methods. In conclusion, medical sectors can use the proposed framework to differentiate the health conditions of infected patients and to assign appropriate care with prompt and effective treatment.

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Section: Obtaining Priority Judgement Ranking Scoresmentioning

confidence: 99%

Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods

Albahri

Al‐Obaidi

Zaidan

et al. 2020

Int. J. Info. Tech. Dec. Mak.

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show abstract

“…Since the birth of DEA, a lot has been done in studying the theory of DEA, and we refer the interested readers to Cook & Seiford (2009) which is a comprehensive review of the DEA theory in the past three decades. Thousands of applications of DEA could be found in literature, be the DMUs schools (Grosskopf et al, 1999), hospitals (Hofmarcher et al, 2002), banks (Khankhoje & Sathye, 2008;Ar & Kurtaran, 2013;Ayadi, 2014), hotels (Hu et al, 2014), local government entities (Fan et al, 2013), and supply chains (Salhieh, 2011), just to name a few. Recently, Anadol et al (2014) applied the tool of DEA to the problem of valuing private companies, which is an innovative application of the DEA method.…”

Section: Literature Reviewmentioning

confidence: 99%

The Efficiency of China’s Retail Companies and the Implications in the Stock Market

Feng¹,

Pan²,

Tang³

et al. 2015

IBR

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China's retail industry flourishes as its economy continues to grow rapidly. However, traditional Chinese retail firms are facing tremendous pressure, both from their international competitors operating in China and from the rise of the e-commerce industry. We study the efficiency of the Chinese retail firms in the domestic retail market. Specifically, we study seventeen publicly traded firms in China"s Retail Industry by taking a Data Envelopment Analysis (DEA) approach. Besides investigating the areas for improvement in efficiency, we also compare the performance of the firms against their performance in the stock market. We then present the discussions of the implications for investors in the stock market. One of our main contributions is that, we relate the performance in stock market with the DEA analysis, which sheds some light on the effectiveness of the DEA method.

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Real-Time Fault-Tolerant mHealth System: Comprehensive Review of Healthcare Services, Opens Issues, Challenges and Methodological Aspects

et al. 2018

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The burden on healthcare services in the world has increased substantially in the past decades. The quality and quantity of care have to increase to meet surging demands, especially among patients with chronic heart diseases. The expansion of information and communication technologies has led to new models for the delivery healthcare services in telemedicine. Therefore, mHealth plays an imperative role in the sustainable delivery of healthcare services in telemedicine. This paper presents a comprehensive review of healthcare service provision. It highlights the open issues and challenges related to the use of the real-time fault-tolerant mHealth system in telemedicine. The methodological aspects of mHealth are examined, and three distinct and successive phases are presented. The first discusses the identification process for establishing a decision matrix based on a crossover of 'time of arrival of patient at the hospital/multi-services' and 'hospitals' within mHealth. The second phase discusses the development of a decision matrix for hospital selection based on the MAHP method. The third phase discusses the validation of the proposed system.

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

Cited by 10 publications

References 58 publications

Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods

Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods

The Efficiency of China’s Retail Companies and the Implications in the Stock Market

Real-Time Fault-Tolerant mHealth System: Comprehensive Review of Healthcare Services, Opens Issues, Challenges and Methodological Aspects

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