اقتصاد فضا و توسعه روستایی

اقتصاد فضا و توسعه روستایی

نقش هوش مصنوعی برای توانمندسازی جامعه روستایی با نقش میانجی حمایت های مدیریتی در مناطق روستایی شهرستان نطنز

نویسنده
دانشگاه آزاد اسلامی واحد اسلامشهر
چکیده
هدف: هدف از پژوهش حاضر بررسی نقش هوش مصنوعی برای توانمندسازی جامعه روستایی با نقش میانجی حمایت های مدیریتی در مناطق روستایی شهرستان کرمانشاه می باشد.

روش پژوهش: این پژوهش از نظر نحوه گردآوری داده ها از نوع توصیفی پیمایشی از شاخه میدانی است و از نظر هدف کاربردی است. جامعه آماری پژوهش حاضر شامل کلیه روستائیان شهرستان کرمانشاه می باشند. حجم نمونه بر اساس فرمول کوکران به تعداد 371 نفر انتخاب شدند. ابزار پژوهش شامل پرسشنامه ای 30 سوالی در سه بخش هوش مصنوعی با 5 سوال، توانمندسازی با 19 سوال و حمایت های مدیریتی با 6 سوال می باشد که روایی آن به شیوه صوری، سازه ای و محتوایی بررسی و تایید شده و پایایی آن بر مبنای فرمول کرونباخ به میزان 86/0 تایید گردیده است. داده های گردآوری شده بر اساس تحلیل مسیر معادلات ساختاری در نرم افزار Smart PLS مورد تجزیه و تحلیل قرار گرفت.

یافته‌ها: نتایج نشان داد که هوش مصنوعی بر توانمندسازی با ضریب تاثیر 636/0 و مقدارT 002/12، هوش مصنوعی بر حمایت مدیریت با ضریب تاثیر 392/0 و مقدار T 875/3 و حمایت مدیریت بر توانمندسازی با ضریب تاثیر 332/0 و مقدار T 533/5 تاثیر دارد. همچنین نتایج آزمون سوبل نشان داد که هوش مصنوعی بر توانمندسازی با نقش میانجی حمایت مدیریت با مقدار T 678/7 تاثیر دارد.

نتیجه‌گیری: بر مبنای یافته ها می توان گفت که هوش مصنوعی می‌تواند از طریق داده‌های تحلیل‌شده، روش‌های بهینه برای کشت و برداشت محصولات را ارائه دهد. با استفاده از هوش مصنوعی در پلتفرم‌های آموزشی، امکان آموزش از راه دور برای افراد روستایی فراهم می‌شود. این تکنولوژی می‌تواند به‌ویژه برای نوجوانان و جوانان در مناطق دورافتاده که به منابع آموزشی محدود دسترسی دارند، مفید باشد. سیستم‌های هوش مصنوعی در حوزه سلامت می‌توانند در تشخیص بیماری‌ها و پیش‌بینی وضعیت بهداشتی افراد در مناطق روستایی کمک کنند.
کلیدواژه‌ها

عنوان مقاله English

The role of artificial intelligence for empowering rural community with the role of mediator of management support in rural areas of Natanz county

نویسنده English

Sajedeh Karimi Kondozi
Islamic Azad University, Eslamshahr Branch
چکیده English

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.

کلیدواژه‌ها English

Empowerment
Rural community
Management support Natanz city
Artificial intelligence
Adeoye-Olatunde, A., Nicole L. Olenik. (2021). “Research and scholarly methods: Semi-structured interviews.” Journal of the american college of clinical pharmacy, 4(10), 1358 - 1367. https://doi.org/10.1002/jac5.1441
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.
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. https://doi.org/10.3390/s20143897
Das, Abhiroop, R. Aarthi, S. Vijay, M. Kailash, K. S. Gogul Nithish, R. Saravanan, and 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. https://doi.org/10.1007/978-981-19-5224-1_38
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. https://civilica.com/doc/1928648. (in Persian)
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
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. https://doi.org/10.1080/23311886.2025.2492833
Kazlauskienė I, Atkočiūnienė V.(2025). Application of Information and Communication Technologies for Public Services Management in Smart Villages. Businesses. 5(3):31. https://doi.org/10.3390/businesses5030031
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. https://doi.org/10.1016/j.techsoc.2021.101737
Li, G., Wang, Y., and 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. https://doi.org/10.3390/su16103981
Prajwal, K. S., B. Shivanath Nikhil, Pakhala Rohit Reddy, G. Karthik, P. Sai Kiran, V. Vignesh, and A. S. Reshma.(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. https://doi.org/10.1007/978-981-19-3575-6_69
Su, L., Peng, Y., and 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. https://doi.org/10.3390/businesses5030032
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
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. https://civilica.com/doc/2236097.(in Persian)
Tang, L., Zhang, J., and Jiang, Z. (2025). Digital Village and Rural Common Wealth—The Moderating Role of Digital Twins. Research Management, 1–14. https://doi.org/10.3390/businesses5030035
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. https://doi.org/10.1016/B978-0-12-819471-3.00004-5
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. https://doi.org/10.1016/j.techfore.2021.121002
Wang, J. (2024). Digital Rural Development to Promote High-Quality Development of Agriculture. Journal of Management, 37(5), 146–158. https://doi.org/10.3390/businesses5030038
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. https://doi.org/10.1145/3745238.374533
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. https://doi.org/10.1145/3745238.3745305
Zhang, W., Zhang, L., Wan, L., (2024). Realistic Path of Digital Economy to Promote Rural Common Wealth. Nankai Economic Research, 5(1), 14–30. https://doi.org/10.3390/su17083709
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زمستان 1404

  • تاریخ دریافت 18 خرداد 1405
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