Evaluating amount of satisfaction for visit capabilities and infrastructures of Gorgan city in separation of touristic entrance regions

The general aim of this research is evaluating amount of satisfaction for visit capabilities and infrastructures of Gorgan city in separation of touristic entrance regions. This study is applicable and explanatory-analytical method is used for study. Used statistical community is consisting entered tourists from seven touristic regions to Gorgan. In this study, probabilistic multistage cluster sampling method was used. So after calculation of sample numbers by using Kokeran’s formula, some regions were selected as research sample from all of touristic absorptions and questionnaires randomly were distributed among them and then were gathered. Anova test, Danken test and the mean of visitor’s opinions were employed for analysis of data. Also the graphical output of data was depicted through Arc Map software. The findings of research showed that Gorgan tourists have announced unsatisfaction of themselves about capabilities and touristic infrastructures of this city. Nevertheless among different regions there is a meaningful disagreeability. Finally with consideration to operated evaluations about satisfactory condition of tourists related to capabilities and infrastructures of the city for improving situation, suitable solutions have been offered

To shop or not to shop while traveling? Exploring the influence of shopping mall attributes on overall tourist shopping satisfaction

The shopping experience may impact tourists’ overall dis/satisfaction and, subsequently, the destination's local economy. To address this importance, the current study focused on six important criteria–environmental performance, geographical location, human resources, marketing, services and welfare recreational facilities–that also include twenty-four sub-criteria that had been identified and proposed after a comprehensive review of relevant literature. Combining fuzzy set theory and Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, the causal relationship of each criterion and its sub-criteria and the key influencing factors for the quality of tourists’ shopping mall satisfaction were identified. Also, the links between the main criteria and sub-criteria were uncovered, and their weights were determined. The results indicate that the ‘marketing’ criterion has had the most substantial influence on the quality of shopping mall satisfaction, while the additional variables include ‘services’, ‘human resources’, ‘welfare recreational facilities’, ‘environmental performance’ and ‘geographical location’. The study provides a list of implications for both the literature and practice