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Showing 2 results for Intelligence.

Sajedeh Karimi Kondozi,
Volume 0, Issue 0 (1-2026)
Abstract

Objective: The aim of the present study is to investigate the role of artificial intelligence in empowering rural communities by mediating management support in rural areas of Natanz city.
Methods: This study is a descriptive survey of the field branch in terms of data collection and is applied in terms of purpose. The statistical population of the present study includes all villagers in Natanz county. The sample size was selected based on the Cochran formula as 371 people. The research tool includes a 30-question questionnaire in three sections: artificial intelligence with 5 questions, empowerment with 19 questions, and management support with 6 questions. Its validity has been examined and confirmed in a face, structural, and content manner, and its reliability has been confirmed based on the Cronbach's formula at 0/86. The collected data were analyzed based on structural equation path analysis in Smart PLS software.
Results: The results showed that artificial intelligence has an impact on empowerment with an impact coefficient of 0.636 and a T value of 12.002, artificial intelligence has an impact on management support with an impact coefficient of 0.392 and a T value of 3.875, and management support has an impact on empowerment with an impact coefficient of 0.332 and a T value of 5.533. Also, the results of the Sobel test showed that artificial intelligence has an impact on empowerment with a mediating role of management support with a T value of 678.7.
Conclusions: Based on the findings, it can be said that artificial intelligence can provide optimal methods for cultivating and harvesting crops through the analyzed data. Using artificial intelligence in educational platforms, distance education is provided for rural people. This technology can be especially useful for adolescents and young people in remote areas who have limited access to educational resources.
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.

 

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