PurposePorts are the key elements of maritime transportation, which is crucial for world trade. Approximately 180 port facilities are located in Turkey. After 2007, 5 of the ports, which are formerly owned by Turkish Republic Railways Administration (TRRA), are privatized. The aim of the study is to evaluate the performance of these privatized ports by multi-criteria decision-making (MCDM) approach.Design/methodology/approachThe application process is performed by a MCDM model. This model includes both criteria (dry bulk, liquid bulk, general cargo, container, RO-RO capacity, total port area, total berth, total berths length and depth) and alternatives (Mersin, Samsun, Bandirma, Iskenderun and Derince Ports). It determines the weights of the criteria by entropy and ranks the alternatives by ARAS and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods.FindingsThe results of entropy, ARAS and TOPSIS methods are compared. According to these results, “container” is the most important criteria while Mersin port has the best performance.Originality/valueIn the literature, most of the studies about this subject were analyzed by data envelopment analysis (DEA) and there are no studies had been taken into consideration ports that are owned by TRRA, in Turkey. Moreover, few of these studies used integrated MCDM models, and this is the first study that integrates entropy, ARAS and TOPSIS methods in this field.

In recent years, as internet access facilities have become widespread, companies are in the position of using their websites effectively so as to compete and reach their customers easily. Therefore, organizations have begun to attach importance to the notion of electronic service quality in order to increase the quality of services presented over the internet. Because it is difficult to measure eservice quality, the use of the Fuzzy decision-making approach, which enables an assessment under uncertain circumstances, emerges as an effective problem-solving tool. In this context, the aim of the paper is to evaluate the e-service quality of websites by Fuzzy multicriteria decision-making (MCDM) methods. Firstly, the level of significance of e-service quality dimensions that are presented by Parasuraman et al. (2005) is determined by Fuzzy Analytic Hierarchy Process (FAHP) according to the surveys which are fulfilled by a decision-making team. Afterwards, the e-service quality performance of websites of the airline corporations is assessed with the Fuzzy PROMETHEE method by using the data obtained from customers through surveys. In the application of the study, the websites of four companies which operate in the Turkish aviation industry, Onur Air, Pegasus, Sun Express and Turkish Airlines, are taken into consideration and ranked with regards to their e-service quality performances.

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ÖZEkonomik ve teknolojik gelişmelerin yarattığı değişim ve küreselleşme sonucunda tüm sektörleri etkisi altına alan rekabet ortamı hizmet sektöründe de yaşanmaktadır. İşletmelerin bu rekabet ortamında var olabilmeleri için ürettikleri ürün ve hizmetlerin kaliteli olması çok önemlidir.Bu çalışmada Türkiye'de faaliyet gösteren üç GSM operatörünün hizmet kalitesinin ölçülmesi amaçlan-mıştır. Bu bağlamda öncelikle hizmet kalitesi boyutlarının önem dereceleri uzman gruba uygulanan anketler neticesinde Analitik Hiyerarşi Süreci (AHS) yaklaşımı ile belirlenmiştir. Hizmet kalitesi performansı açısından GSM operatörlerinin sıralanması için Karadeniz Teknik Üniversitesi İktisadi ve İdari Bilimler Fakültesi öğrencilerine uygulanan anketler çok kriterli karar verme tekniklerinden ELECTRE I VE PROMETHEE yöntemleri ile değerlendirilmiştir. Elde edilen sonuçlara göre hizmet kalitesi performansı en yüksek GSM operatörünün "B" firması olduğu tespit edilmiştir.Anahtar Kelimeler: Hizmet Kalitesi, GSM Operatörleri, ELECTRE I, PROMETHEE JEL Sınıflandırması: C44, L96 ASSESSING THE SERVICE QUALITY OF GSM OPERATORS BY ELECTRE I AND PROMETHEE METHODS ABSTRACTThe competitive environment which affects all the sectors as a result of globalization and improvements created by technological, economic and change factors is experienced also in the service sector. Enterprises that want to exist in this competing ambiance have to produce products and service in quality.In this thesis, the aim is to measure the service quality of the three GSM operators that rustle in Turkey. In this context, firstly level of significance of service quality dimensions are determined with the Analytic Hierarchy Process approach as a consequence of the surveys which are applied to expert team. After the level of significance determined, as a result of the surveys that are applied to students at Karadeniz Tecnical University Faculty of Economics and Administrative Sciences, the service quality of GSM operators is assessed by ELECTRE and PROMETHEE methods which are widely used multi critearia decision methods. Accourding to the results it is ascertained that the GSM operator "B" has the best performance of service quality

After 50 years of rapid development, today's aquaculture industry has become one of the driving forces of economic growth in many countries thanks to the increasing aquaculture production. However, less attention has been given to its growing global market demand and its contribution to relevant countries’ trade potential. Turkey has achieved significant success in aquaculture production dominated by Trout (Oncorhynchus mykiss), Sea Bass (Dicentrarchus labrax), and Sea Bream (Dicentrarchus labrax)species thanks to its geographical and biodiversity advantages. Thereby, Turkey has an exporting advantage in the face of increasing global seafood consumption demand. In this paper, we focus on the target market selection of these priority products to support the exporting potential of Turkey. Therefore, this is a multicriterion problem, and this paper aims to provide forecasting about target markets based on qualitative and quantitative criteria by combining fuzzy analytic hierarchy process (FAHP) and the technique for order preference by similarity to ideal solution (TOPSIS) methods. Seven criteria as trade balance, consumption, distance, average tariff, ease of doing business, non-tariff requirement and logistics performance index were chosen for evaluating the target markets. According to FAHP results, the trade balance criterion has the most significant effect while the distance criterion has least effect on the decision problem for ranking the target countries. According to these seven criteria, Japan is the best target market for Trout and Sea Bass while Russian Federation is the best for Sea Bream.