یاسر قلی زاده

Smart tourism is a newly emerging concept that highlights the growing reliance of tourism destinations on advanced information and communication technologies. Given the importance of this topic, this study aims to identify the factors influencing the development of smart tourism in the Azad region. The research adopts a descriptive-exploratory approach, with the statistical population comprising experts familiar with the development of smart tourism and the Aras Free Zone. Using the snowball sampling method, 10 experts were selected as the research sample. Structural-Interpretive Modeling (ISM) and MICMAC analysis were employed to analyze the data. The findings revealed that out of 33 initially identified factors, 22 were finalized as the key contributors to smart tourism development. Among these, six critical factors were identified: budget allocation, regional tourism potential, tourist needs assessment, e-government infrastructure, policymaking, and planning. These factors were deemed most influential in driving the development of smart tourism in the Aras Free Zone.

Today, smart tourism is growing and developing as a new type of tourism industry. Due to the growth of new technologies, countries can not act on tourism development without considering their impact and at the same time guarantee its sustainability. However, there are problems and challenges in this regard. Aras Free Zone as an example of this study is no exception and the main purpose of this study is to identify the challenges of smart tourism development in this area. In this regard, the research method of the present article is exploratory in nature and practical in purpose. The required information has been collected through library and field studies (questionnaire). The statistical population of the study was the experts in the field of tourism in Aras Free Zone. Using snowball method, 10 people were interviewed as a statistical sample of the research. Also, for the validity of extractive indicators, content analysis (CVR) method and for identifying the most important challenges of smart tourism, structural-interpretive modeling (ISM) and Mick Mac analysis have been used. In this regard, the research findings have shown that out of 20 challenges extracted from theoretical foundations, 14 challenges have acceptable validity. The challenges of manpower, organizational-management, information and communication technology, financial resources and infrastructure are considered as key challenges in the development of smart tourism in the Aras Free Zone, which have a great impact on the development of smart tourism.

Smart tourism is a new applied term that describes the increasing dependence of tourism destinations, industries and different forms of tourists on new forms of information and communication technology that transform massive amounts of data into valuable propositions. Despite the growing importance of smart tourism, as one of the most basic sources of income for societies, not so many studies (especially inside the country) have been conducted in this regard. Therefore, the purpose of this research was document analysis of authentic domestic articles about smart tourism in an analytical way. The current research is descriptive-analytical and its method is analysis. The statistical population of this research includes all scientific-research articles that have been published in scientific-research publications approved by the Ministry of Science, Research and Technology in the country, and due to the small number of them (12 cases), the full enumeration method was used. The results of the analysis show that from 2016 to now (2021) there are only 12 scientific research articles in the country, which indicates the lack of attention to research on smart tourism in Iran. Also, the results show that in terms of geographical distribution, Isfahan city is in the first place and the field of management, especially Market management, has played the most important role in the field of smart tourism in Iran. Also the superiority of the combined method over positivism or positivism is quite evident. Another finding of the research is that the method of collecting most the printed articles was documentary and combined (questionnaire and interview). Also the data analysis in most of the articles has been using the typical T-Tech test, structural equation model and composite model, and regarding the widely used software in the field of domestic smart tourism articles, we can mention SPSS software along with Smart PLS.

Housing as a heterogeneous product, durable, immovable,capitalist, useable, with lateral effects has dedicated itself a large part of family budget and also has a great role in the occupation and value added of the countries.Then prediction of the housing price has a great importance among the urban planners and decision makers. If this prediction be able to provide the main factors which affect the housing price, then it will be a good instrument for decision making. If this estimation, particularly be able to reflect suitably the share of effective factors on the housing value, then it can be used in the urban and regional policy making. With respect to the importance of the issue, this article intends to investigate the main factors which affect on the housing price of the Koye Valiaser in the Tabriz. It is common to use hedonic regression and neural networks as a multi regression methods for predicating the housing price. For providing the effective factors we got help from Delphi method and the data gathered from questioner survey. Both Hedonic and Artificial Neural network could predicate the price. But the accuracy of neural network was much better than the Hedonic. Also the research showed there is relation among the spatial factors and the price of housing in Koye Valiaser.