Measuring and evaluating the satisfaction level of the individuals who benefit from healthcare services is very important and may assist improving healthcare service quality. Managers and researchers must know the details of healthcare service quality dimensions weak points, and to which degree the weaknesses extend for that institution. The Servqual scale is commonly used in the healthcare service quality assessment. This study aims to measure/evaluate ongoing healthcare service quality and patients satisfaction via Servqual scale with respect to outpatients’ view. In this study, a survey based on the Servqual scale is implemented on a hospital in Zonguldak/Turkey, for evaluating perceived and expected healthcare service quality. According to the results, healthcare service quality of the Servqual scale dimension grades differs from each other in at least two dimensions out of five. Tangibles, one of the Servqual dimension is measured as the highest. Results suggest that patients demographically differentiate healthcare service quality in terms of age, income, and service type, but not for gender, marital status, educational level, and profession. Moreover, reliability is observed as the most determinant dimension for outpatients’ satisfaction.

Purpose: The purpose of the study is the evaluation of choosing the determined logistics centers’ (LCs’) locations via Multi-Criteria Decision-Making (MCDM) methods.Design/methodology/approach: Since there is more than one criterion in the evaluation of LC location, MCDM methods are used. The Entropy and CRiteria Importance Through Intercriteria Correlation (CRITIC) methods are used to determine the main criteria and sub-criteria weights. The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method is used for ranking and evaluating 12 alternatives in Turkey and sensitivity analysis according to the threshold values of criteria and preference functions.Findings: Possible LC alternatives in Turkey and 12 locations ranked. Changing the criteria weights at a significant level did not affect the ranking results much. In the sensitivity analysis of the criteria for which market data could not be obtained (scored by the experts) it is found that they either made no difference or made little difference in the ranking of the alternatives.Practical implications: In terms of sustainability, economic factors along with environmental and social dimensions are important criteria for logistics companies and LC. The use of these variables in the LC location selection makes a difference.Originality/value: This study focuses on LC location selection, via PROMETHEE with evaluated preference functions for criteria, taking into account nine scenarios that use variable criteria weight calculated via different MCDM methods. The results are evaluated by using sensitivity analysis and taking into account the sustainability aspect for LC. Multiple methods have been used effectively together in a way that support each other.

Purpose: Considering the contribution of freight villages (FVs) to the economy and sector, transportation cost advantage, environmental externalities, labor costs, employment, etc. criteria evaluation is important in selecting FV location. Environmental sustainability and social dimensions are becoming important criteria for companies in logistics. The purpose of the study is to determine/model the criteria interaction and also determine the criteria priorities in the FV location selection process. Meanwhile, the study aims to evaluate these criteria and present information to researchers and decision makers.Design/methodology/approach: Six main criteria and 29 sub-criteria are selected from related literature. Decision making trial and evaluation laboratory (DEMATEL) method is used for determining/modeling the criteria interaction and sketching interaction diagram, and the Analytical Hierarchy Process (AHP) method is used for determining the criteria priorities. One/two-way pairwise compared main/sub-criteria views are obtained from 48 experts for calculations.Findings: “Trade potential”, “transportation networks” and “economic factors” have the highest priorities, respectively, out of six main criteria, and they have the most powerful interactions that put these criteria to the center of decision process. Sub-criteria of “foreign trade potential”, “proximity to the port”, “market opportunities” and “proximity to the railway” out of 29 have a total 36.42% priority, more than one-third of the importance.Originality/value: Criteria are evaluated in FV location selection for FV sustainability using criteria interaction diagrams, affecting/being affected by the level of each criterion and their priorities. This study shows a hybrid derivation from DEMATEL-AHP usage methods together. High-volumed and qualified/experienced expert group judgments in Turkey are evaluated.

The AHP technique application is usually for determining criteria priorities according to respondents, but no statistical query exists for instance, whether the experts’ views significantly change with respect to some characteristics, the criteria priorities significantly differentiate with each other. This research objective is along with determining the priorities of subcriteria in the evaluation of bank failure/bankruptcy risk, to show generating priority series from experts’ views for each criteria for carrying out statistical tests with respect to expert subgroups, and then produce information for researchers/decision makers. The research utilises the usage of conducting statistical hypothesis testing on generated priority series and CAMELS approach to bank failure. This study investigates and determines the subcriteria priorities of CAMELS dimensions, and uses the data of study Pekkaya & Erol (2016) for statistical tests by generating priority series of CAMELS dimensions. Since no similar academic study, which uses statistical tests and generates priority series in bank failure/bankruptcy literature via similar approach, is observed; this study can be accepted as paving the way of the usage of AHP technique. The obtained priority values of subcriteria with main criteria of CAMELS dimensions can be used to improve the early warning system for bank failure.