The impact of adopting artificial intelligence methodologies in enhancing the efficiency of tourism networks in rural areas in Tartous Governorate

Abstract

Tourism networks in rural areas are vital factors that significantly contribute to enhancing local economic interactions and attracting the attention of various stakeholders. Despite the richness of rural areas in natural and human resources, they still require a developmental strategy to revive and enhance their efficiency in achieving sustainable development. In this context, the role of artificial intelligence applications emerges as a modern, flexible, and essential means to facilitate the func-tioning of these networks, which rely on fundamental factors encompassing continuously changing big data. Recent research has focused on integrating modern technological approaches into tourism development by using artificial intelligence techniques to combine big data technology, build network analysis models, and employ recommendation algorithms in comprehensive tourism analysis. This approach improves tourists' experiences and develops tourism services through its ability to analyze data and use computational intelligence in decision-making. It also aids in cre-ating promotional platforms for large-scale tourist destinations, increasing the efficiency of re-source management, and planning for tourist destinations. This contributes to the sustainable de-velopment of the tourism sector and enhances the attractiveness of tourist destinations. The re-search resulted in a matrix focusing on the importance of establishing a tourism network and the impact of artificial intelligence applications on it. It provided some outcomes that could help identify suitable locations for establishing the network and its hubs, influencing all critical criteria for forming developmental tourism networks. It also transitions to interactive maps that include new tourist products, distinctive industries, and improved resources, offering high-quality tourism services. These networks form a fundamental base for supporting the local economy.