Volume 15, Issue 55 (Spring 2026)
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Karimi Kondozi S. The Role of Artificial Intelligence in Empowering Rural Communities: The Mediating Role of Managerial Support in Rural Areas of Natanz County (Iran). serd 2026; 15 (55) : 7
URL: http://serd.khu.ac.ir/article-1-4101-en.html
URL: http://serd.khu.ac.ir/article-1-4101-en.html
Islamic Azad University, Eslamshahr Branch, Iran , karimi.sajedeh@yahoo.com
Abstract: (22 Views)
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.
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.
Article number: 7
Keywords: Digital Transformation, Rural Community Empowerment, Rural Development Managerial Support, Artificial Intelligence.
References
1. Adeoye-Olatunde, A., & Olenik, N.L. (2021). Research and scholarly methods: Semi-structured interviews. Journal of the american college of clinical pharmacy, 4(10), 1358 - 1367. [DOI:10.1002/jac5.1441]
2. Andrei, R., Ioana, C., Ionuț, G., Oana Maria, S., & Nicoleta, M. (2023). Smart villages: A global perspective on rural development. Agricultural Management/Lucrari Stiintifice Seria I, Management Agricol, 25(3), 417. https://scholar.google.com/scholar_lookup?title=Smart+villages.
3. Cvar, N., Trilar, J., Kos, A., Volk, M., & Duh, E. S. (2020). The use of iot technology in smart cities and smart villages: Similarities, differences, and future prospects. Sensors, 20(14), 3897. [DOI:10.3390/s20143897]
4. Das, Abhiroop, R. Aarthi, S. Vijay, M. Kailash, K. S. Gogul Nithish, R. Saravanan, & Souresh Cornet.(2022). “Performance Enhancement of Photo Voltaic System for Rural Electrification in Higher Altitude Region: A Case Study in Uttarakhand, India.” In ICT Analysis and Applications: Proceedings of ICT4SD, 373 - 381. [DOI:10.1007/978-981-19-5224-1_38]
5. Guo, J., & Li, B. (2018). The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries. Health equity, 2(1), 174–181. [DOI:10.1089/heq.2018.0037]
6. Hajipour, M., & Esfahani, F. (2023). Artificial Intelligence in the Economic Empowerment of Rural and Nomadic Women; Functions and Requirements, Fifth National Conference on Capacities and Limitations of Rural Women Empowerment, Kalat. (in Persian)
7. Junaidi, A., Othman, M. S. B., Mohd Hashim, S. Z., Mohamad, M. M., Danial Kesa, D., & Nurfikri, A. (2025). Smart villages: A systematic review of trends, models, and metrics. Cogent Social Sciences, 11(1), 2492833. [DOI:10.1080/23311886.2025.2492833]
8. Kazlauskienė I, Atkočiūnienė V.(2025). Application of Information and Communication Technologies for Public Services Management in Smart Villages. Businesses. 5(3), 31. [DOI:10.3390/businesses5030031]
9. Kumar, S., Rakesh, D., Raut, M., Balkrishna E., & Narkhede, M.(2021). Mapping the barriers of AI implementations in the public distribution system: The Indian experience. Technology in society, 67(1), 101737. [DOI:10.1016/j.techsoc.2021.101737]
10. Li, G., Wang, Y., & Yan, T. (2024). Does Digital Transformation Promote Rural Innovation and Entrepreneurship-A Quasi-Natural Experiment Based on the Policy of “National Digital Rural Pilot”. Economist, 12, 114–124. [DOI:10.3390/su16103981]
11. Prajwal, K. S., B. Shivanath Nikhil, Pakhala Rohit Reddy, Karthik, G. Sai Kiran, P. Vignesh, V. & Reshma, A.S. (2022). The Assessment of Challenges and Sustainable Method of Improving the Quality of Water and Sanitation at Deurbal, Chhattisgarh. In IOT with Smart Systems: Proceedings of ICTI, 2(1), 721 - 730. [DOI:10.1007/978-981-19-3575-6_69]
12. Su, L., Peng, Y., & Zhou, H. (2024). Income Effect and Mechanism of Rural Households' Digital Economy Participation in the Context of Common Wealth. China Rural Economy, 1(8), 145–165. [DOI:10.3390/businesses5030032]
13. Suhas, B. (2024). Generative AI for Community Empowerment: Transforming Livelihood Opportunities in a Rural Indian Village. Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, , 1-6. [DOI:10.1109/ICAECT60202.2024.10468754]
14. Tahvildari, M. (2024). Application of Artificial Intelligence in Urban and Rural Planning: A New Approach to Traffic, Waste and Sustainable Development (Case Study: Guilan Province), International Conference on Architecture, Urbanism, Art, Industrial Design, Construction and Technology Based on Wisdom. (in Persian)
15. Tang, L., Zhang, J., & Jiang, Z. (2025). Digital Village and Rural Common Wealth—The Moderating Role of Digital Twins. Research Management, 1–14. [DOI:10.3390/businesses5030035]
16. Taravilla, M., Carmen, L., Montserrat, M., Jesús, F., & Carolina, M. (2024). Chapter Five - A challenge for the implementation of artificial intelligence in rural areas. Digital coverage and performance of intellectual capital of firms, Artificial Intelligence in Production Engineering and Management, Woodhead Publishing Reviews: Mechanical Engineering Series, 83-114. [DOI:10.1016/B978-0-12-819471-3.00004-5]
17. Varma, D., Krishna, N., Vishakh, PC., Mireia, P., Sidharth, K. A., & Maneesha, V. (2021). Participatory design approach to address water crisis in the village of Karkatta, Jharkhand, India. Technological Forecasting and Social Change 172, 121002. [DOI:10.1016/j.techfore.2021.121002]
18. Wang, J. (2024). Digital Rural Development to Promote High-Quality Development of Agriculture. Journal of Management, 37(5), 146–158. [DOI:10.3390/businesses5030038]
19. Wu, T.( 2025). How digital villages can contribute to the level of common wealth: based on the dual empowerment perspectives of industrial development and digital finance. In Proceedings of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI '25). Association for Computing Machinery, New York, NY, USA, 635–640. [DOI:10.1145/3745238.374533]
20. Yin, Z., Wu, Z., & Wang, R.,.(2024). Has the Construction of Digital Villages Promoted Non-Farm Employment—An Empirical Analysis Based on Tracking Data from Fixed Observation Points in Rural Areas Across China. Economist, 6(1), 25–34. [DOI:10.1145/3745238.3745305]
21. Zhang, W., Zhang, L., Wan, L., (2024). Realistic Path of Digital Economy to Promote Rural Common Wealth. Nankai Economic Research, 5(1), 14–30. [DOI:10.3390/su17083709]
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