درخت حوزه‌های تخصصی

Due to the undeniable role of tourism in the development process of the country, managers of the tourism industry are always faced with the challenge of attracting tourists and gaining their satisfaction and loyalty. The image of the destination is one of the components that has a great impact on the tourist's decision and the behavioral consequences of his trip. The purpose of this study was to investigate the effect of cultural events and mental conflict on the image and the intention to visit the destination among tourists in Sarab-e Meymeh. The statistical population of this study consisted of tourists in Sarab-e Meymeh township of Dehloran City in the spring of 1398, which due to the unknown of the number of tourists in the region, the sample size was selected 385 people, which is the highest sample size. The present study is operational in terms of purpose and with a survey nature of correlation is based on structural equations. The required data was collected using a questionnaire tool. The questionnaire was acceptable in terms of validity and reliability. The results of data analysis using structural equation method with Smart Pls software showed that cultural events and mental conflicts have a positive and significant effect on the image and intention for visiting the destination among tourists in Sarab Meymeh. In fact, a good general image and the intention for visiting again the Sarab-e Meymeh township requires attention to the brand of the event, structural components, cultural events, brand of the place, tourist mental engagement, general image, cognitive image and emotional image of the destination. Tourism managers and marketers must pay special attention to these fundamental and important factors.

Price is one of the most significant factors in competing in the retail market. This study aims to present the interpretive-structural modeling of elements affecting store price image, considering local and situational variables. Having analyzed KIOSERT analysis and been sure of accuracy in variables choice, the interpretive-structural modeling was used at the level of categories. The outcome of interpretive-structural modeling was a two-level model, in which the first one consisted of ‘services’, ‘enthralling factors’, ‘store factors’, and ‘social responsibility’, and in the second level, the variables consisted of ‘competitors’, ‘buyer factors’, ‘price and promotions’, and ‘sale policies’. In addition to the mentioned model, another finding of the study is depicting driving-dependency power, in which research variables are divided into four groups: autonomous, dependent, independent, and linkage. Accordingly, the ‘competitors’, ‘buyer factors,’ ‘price and promotions’, ‘sale policies’, ‘enthralling factors’, ‘store factors’, and ‘social responsibility’ belong to linkage variables and ‘service’ variable, by itself, belong to independent variables.