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    • List of Articles future study

      • Open Access Article

        1 - A Future Study of Business Intelligence in the Tourism Industry
        nayereh abtahi Mohammad Hasan Maleki behrooz bayat tohfeh ghobadi
        Despite potential tourism capacities in Iran, few foreign tourists visit Iran compared to the competing countries due to the lack of infrastructure, the existence of legal barriers, and the sanctions imposed against Iran. As considerable growth in the application of inf More
        Despite potential tourism capacities in Iran, few foreign tourists visit Iran compared to the competing countries due to the lack of infrastructure, the existence of legal barriers, and the sanctions imposed against Iran. As considerable growth in the application of information technology to tourism is one of the main trends in this industry, this applied exploratory study sought to identify future scenarios of business intelligence in Iran’s tourism industry using both qualitative and quantitative methods to analyze the collected data. The population of the study comprised tourism, future study, and business intelligence experts, out of whom the intended participants were selected via judgmental sampling. The study was conducted in three phases. In the first phase, thirty effective driving forces of the prospective business intelligence in the tourism industry were identified by reviewing the related literature and interviewing the experts. In the next phase, the identified driving forces were screened and prioritized using the EDAS. To this end, the driving forces were screened via the Binominal test, twenty of which were eliminated from the analysis, accordingly. Then, the remaining ten driving forces were assessed using the EDAS method. Finally, the type of decision-making culture and the arrival of foreign tourists were selected as the final driving forces, which, together with the application of root definitions and the organization of consultation workshop, formed the basis of offering four scenarios, namely the prosperity, heterogeneity, the spider web, and the ice ages. Accordingly, the prosperity and ice age scenarios illustrate the best and worst conditions for the future of business intelligence in tourism, respectively. Manuscript profile
      • Open Access Article

        2 - Identifying the Factors Involved in Applying IoT to Smartening Tourism Destinations Using Future Studies Approach: A Case Study of Fars Province
        Khadije Kaveh maryam nekooeezadeh Moslem  Alimohammadlo
        Fars province is one of the main hubs of tourism centers in Iran. Therefore, paying special attention to tourism in the province and using Internet-of-things technology in its tourism management can provide suitable facilities for improving the welfare of its visiting t More
        Fars province is one of the main hubs of tourism centers in Iran. Therefore, paying special attention to tourism in the province and using Internet-of-things technology in its tourism management can provide suitable facilities for improving the welfare of its visiting tourists, thus increasing the visiting rate of its tourist destinations. In this regard, the present study sought to predict and identify the most important factors involved in applying the Internet of Things technology to the Smartization of tourist destinations in Fars province and to develop feasible desirable future scenarios thereof. To this end, the required data for this applied study were collected by conducting interviews, administering questionnaires, and carrying out a systematic review of related literature. Finally, the collected data were analyzed by the Scenario Wizard software using the MICMAC method. The results of the MICMAC analysis revealed the main role of 14 key variables in the application of the Internet of Things technology to the Smartization of tourist destinations in Fars province. On the other hand, two strong scenarios, 1548 weak scenarios, and nine scenarios with high compatibility were obtained using the Scenario Wizard software. Accordingly, the study used the aforementioned nine high-compatibility scenarios, finding that the future of tourism in Fars province would be similar to the current circumstances. It was also found that the trend of changes in the status of tourism would be slow and that the chances of applying the Internet of Things technology to the province’s tourism destinations would be low. Finally, based on the obtained scenarios, the study proposed some strategies to achieve the desired results in smart tourism. Therefore, the results of the current study could help tourism professionals prepare the ground for the application of state-of-the-art technologies such as the Internet of Things to tourism and thus develop the field through setting long-term plans. Manuscript profile