Showing 2 results for Intelligence.
Amin Faal Jalali, Maryam Ghasemi,
Volume 13, Issue 49 (11-2024)
Abstract
Purpose
This research aims to investigate the impact of utilizing smart capabilities on improving rural tourism and addressing rural challenges in the target villages of Khorasan Razavi Province.
Method
The study’s statistical population comprised 261 tourists who either traveled to the villages or used virtual platforms to plan their visits. Due to the dispersed nature of the statistical population, a snowball sampling method was employed to select the sample. Data were collected through a questionnaire and analyzed using SPSS software, applying statistical tests. Additionally, to examine the impact of information and communication technologies (ICT) on the development of smart tourism in the studied villages, the PLS (Partial Least Squares) model was utilized.
Results
The findings indicate that existing tourism capacities have a direct and significant impact on the development of smart tourism. Among the evaluated components, smart transportation emerged as the most influential. Key aspects of smart transportation include online and offline routing, route traffic information, interstate services, and other related benefits. Following smart transportation, communication tools were identified as the second most effective component in fostering smart tourism. These tools include email, telephone, internet sites, and participation in messaging platforms or channels.
Additionally, the smart environment was found to play a significant role in the development of smart tourism. Features of the smart environment include the availability of robust antenna networks, internet connectivity at the village level, electronic banking services, and similar infrastructural advancements.
Conclusion
The results demonstrate that the average indicators related to virtual facilities in the studied villages exceed normal values. This indicates that the villages possess the necessary infrastructural and human resources to support the development of smart tourism. Furthermore, the analysis confirms that rural smart capabilities have a measurable impact on the advancement of smart tourism in the region.
Sajedeh Karimi Kondozi,
Volume 15, Issue 55 (6-2026)
Abstract
Objective: Artificial Intelligence (AI) has emerged as a transformative technology with significant potential to enhance rural development through improving productivity, decision-making processes, and access to information. This study aimed to investigate the role of AI in empowering rural communities, considering the mediating effect of managerial support in the rural areas of Natanz County, Iran.
Methods: The research adopted an applied, descriptive-survey design. The statistical population consisted of all rural residents of Natanz County, from which 371 respondents were selected using Cochran’s sampling formula. Data were collected through a structured questionnaire comprising three dimensions: artificial intelligence (5 items), rural empowerment (19 items), and managerial support (6 items). The validity of the instrument was confirmed through face, content, and construct validity, while reliability was verified using Cronbach’s alpha coefficient (0.86). Data were analyzed using Structural Equation Modeling (SEM) in SmartPLS software.
Results: The findings revealed that AI had a significant positive effect on rural empowerment (β = 0.636, T = 12.002) and managerial support (β = 0.392, T = 3.875). Furthermore, managerial support significantly influenced rural empowerment (β = 0.332, T = 5.533). Sobel test results confirmed the mediating role of managerial support in the relationship between AI and rural empowerment (T = 7.678). The results indicate that AI can substantially contribute to rural empowerment by enhancing agricultural productivity, improving access to education and healthcare services, facilitating market connectivity, and supporting informed decision-making. Effective managerial support and appropriate infrastructure are essential for maximizing the developmental benefits of AI in rural communities.
Conclusions: The study highlights the importance of integrating AI technologies into rural development strategies to foster sustainable socio-economic transformation and reduce rural–urban disparities.
