تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

بررسی تاثیر هوش مصنوعی بر عملکرد مدیریت روستایی با نقش واسطه پویایی محیطی در مناطق روستایی شهرستان کرمانشاه

مقالات آماده انتشار
نویسنده
مسعود صفری علی اکبری
دانشگاه پیام نور کرمانشاه
چکیده
در شرایط کنونی هوش مصنوعی می‌تواند عملکرد مدیریت روستایی را از طریق بهینه‌سازی استفاده از منابع، پیش‌بینی تحولات محیطی، و تصمیم‌گیری‌های هوشمندانه بهبود بخشد. هدف از پژوهش حاضر بررسی تاثیر هوش مصنوعی بر عملکرد مدیریت روستایی با نقش واسطه پویایی محیطی در مناطق روستایی شهرستان کرمانشاه می‌باشد. این تحقیق از نظر روش، توصیفی از نوع پیمایشی، از نظر هدف، کاربردی-عملی و از نظر ماهیت، همبستگی است. جامعه آماری شامل دهیاران و اعضای شوراها در سطح روستاهای شهرستان کرمانشاه به تعداد 1300 نفر می‌باشند. حجم نمونه با استفاده از جدول مورگان 297 نفر بوده و روش نمونه‌گیری به شیوه تصادفی ساده می‌باشد. ابزار پژوهش شامل پرسشنامه‌های استاندارد هوش مصنوعی از کارل آلبرخت(2003) با 21 گویه، برای سنجش پویایی محیطی از پرسش نامه ورا و کروسان(2009) با 5 گویه و برای سنجش عملکرد از پرسش نامه پاترسون(1970) با 15سوال بوده است. روایی به شیوه صوری، محتوایی و سازه‌ای و پایایی بر اساس آلفای کرونباخ به میزان 861/0 مورد تایید واقع شد. داده‌های گردآوری شده بر اساس تحلیل مسیر معادلات ساختاری در نرم افزار PLS مورد تجزیه و تحلیل قرار گرفت. نتایج نشان داد که هوش مصنوعی بر عملکرد مدیریت روستایی با ضریب تاثیر 889/0 ، هوش مصنوعی بر پویایی محیطی با ضریب تاثیر 876/0 و پویایی محیطی بر عملکرد مدیریت روستایی با ضریب تاثیر 273/0 تاثیر مثبت و معناداری داشته است. همچنین نتایج آزمون سوبل نشان داد که هوش مصنوعی بر عملکرد مدیریت روستایی با نقش واسطه پویایی محیطی با مقدار T 361/9 تاثیر داشته است. بنابراین هوش مصنوعی توانسته نقش بسیار مهمی در عملکرد مدیریت روستایی داشته باشد، به‌ویژه در بهینه‌سازی منابع، بهبود خدمات عمومی، مدیریت محیط‌زیست و افزایش بهره‌وری کشاورزی دارد.


کلیدواژه‌ها
پویایی محیطی
عملکرد مدیریت
هوش مصنوعی
شهرستان کرمانشاه

عنوان مقاله English

Investigating the impact of artificial intelligence on rural management performance with the mediating role of environmental dynamics in rural areas of Kermanshah county

نویسنده English

Masoud Safari Aliakbari
Pnu
چکیده English

In the current situation, artificial intelligence can improve rural management performance through optimizing resource use, predicting environmental changes, and making intelligent decisions.The aim of the present study is to investigating the impact of artificial intelligence on rural management performance with the mediating role of environmental dynamics in rural areas of Kermanshah county. This research is descriptive in terms of method, applied-practical in terms of purpose, and correlational in terms of nature. The statistical population includes 1300 village heads and council members in the villages of Kermanshah city. The sample size using the Morgan table is 297 people and the sampling method is simple random. The research tools include standard questionnaires for artificial intelligence from Carl Albrecht (2003) with 21 items, for measuring environmental dynamics, the Vera and Crossan questionnaire (2009) with 5 items, and for measuring performance, the Patterson questionnaire (1970) with 15 questions. The validity was confirmed by face, content and construct methods and the reliability was confirmed by Cronbach's alpha at 0.861. The collected data were analyzed based on structural equation path analysis in PLS software. The results showed that artificial intelligence had a positive and significant effect on rural management performance with an impact coefficient of 0.889 and a T value of 217.42, artificial intelligence had a positive and significant effect on environmental dynamics with an impact coefficient of 0.876 and a T value of 0.044, and environmental dynamics had a positive and significant effect on rural management performance with an impact coefficient of 0.273 and a T value of 4.938. Also, the results of the Sobel test showed that artificial intelligence had an effect on rural management performance with a mediating role of environmental dynamics with a T value of 9.361. Therefore, artificial intelligence can play a very important role in rural management performance, especially in optimizing resources, improving public services, environmental management and increasing agricultural productivity.

کلیدواژه‌ها English

Environmental dynamics
management performance
Artificial intelligence
Kermanshah county
Abrokwah-Larbi, K., 2023. The role of generative artificial intelligence (GAI) in customer personalisation (CP) development in SMEs: a theoretical framework and research propositions. Industrial Artificial Intelligence 1 (1), 11–21.
Ali Akbari, Javad. (2010). "A Metacognitive Analysis of Organizational Performance". Journal of Modern Management, Year 3, Issue 17, pp. 43-61. (in Persian)
Bahadori Amjaz, Farrokh Lagha, Anabastani, Ali Akbar and Tavakolinia, Jamileh. (2014). The role of the main components in the formation of the smart growth approach in the sustainable development of rural settlements (Case study: Jiroft County). Spatial Planning, 12(2), 91-118. (in Persian)
Chatterjee, S., Chaudhuri, R., Vrontis, D., Giovando, G., 2023. Digital workplace and organization performance: moderating role of digital leadership capability. Journal of Innovation & Knowledge 8 (1), 100334.
Chatterjee, S., Khorana, S., Kizgin, H., 2022. Harnessing the potential of artificial intelligence to foster citizens’ satisfaction: an empirical study on India. Govern. Inf. Q. 39 (4), 101621.
Hallevy, Gabriel. (2016). Liability for crimes involving artificial intelligence systems. Berlin: Springer.
Chen D, Esperança JP and Wang S (2022) The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms. Front. Psychol.
Imani Jajarami, Hossein, Firouzabadi, Seyed Ahmad. (2007). A study of local management performance measurement models: with emphasis on urban and rural management organizations in Iran, Journal: Social Sciences Letter, Volume: 15, Issue: 32, pp.: 91-111. (in Persian)
Hajipour, Mohammad and Isfahani, Fatemeh Sadat. (2013). Artificial intelligence in the economic empowerment of rural and nomadic women; functions and requirements, 5th National Conference on the Capacities and Limitations of Rural Women's Empowerment, Kalat. (in Persian)
Hosseini, Ali. (2011). "Definition of Entrepreneurship", University of Isfahan, Entrepreneurship Center. (in Persian)
Jansen, J.J., Van Den Bosch, F.A., Volberda, H.W., 2006. Exploratory innovation, exploitative innovation, and performance: effects of organizational antecedents and environmental moderators. Manag. Sci. 52 (11), 1661–1674.
Long, Y., Liu, P., (2021). Study on coordination of industrial technology ambidextrous innovation in knowledge ecology spiral. Kybernetes 50 (12), 3246–3268.
Mikalef, P., Gupta, M., (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Inf. Manag. 58 (3), 103434.
Mokhtari-Karchegani, Ali, Tavakoli, Morteza, Borzo, Gholamreza and Yarahmadi, Kiarash. (2023). Perspectives of smart villages and sustainable territorial development: a bibliometric analysis and systematic review. Planning and Development, 4(2), 16-32. (in Persian)
Moshbeki, Ali Asghar (2010). Introduction to artificial intelligence and its application in industries (1) Management Development, 13. 41-38. (in Persian)
Norouzi, Asghar. (2021). Analysis of indicators and feasibility of smart village development (case study: Avargan village), Geography Journal, Volume: 19, Issue: 68, pp. 251-263. (in Persian)
Nikpour, Amin., Salajqeh, Sanjar. (2012). “Investigating the Status of Organizational Agility in Government Organizations in Kerman City”. Productivity Management, 6(4(23) Winter), 39-54. (in Persian)
Olan, F., Arakpogun, E.O., Suklan, J., Nakpodia, F., Damij, N., Jayawickrama, U., 2022. Artificial intelligence and knowledge sharing: contributing factors to organizational performance. J. Bus. Res. 145, 605–615.
Pirzal, Parasto, (2014). Application of modern technologies and artificial intelligence in rural planning in municipalities, 24th National Conference on Civil Engineering, Architecture and Urban Planning, Shirvan. (in Persian)
Pourzaker-Erabani, Sudabeh. (2016). Concepts of artificial intelligence and artificial neural networks and algorithm genetics. Lahijan: Neday Sabz Shomal. (in Persian)
Sheshadri, C., 2021. Dark side of online social games (OSG) using Facebook platform: effect of age, gender, and identity as moderators. Inf. Technol. People 34 (7), 1800–1818.
Taghiloo, Ali Akbar, Movaghari, Ali Reza and Babaei, Negin. (2013). Smart villages as a strategy for sustainable development, a case study: Nazlo village-Urumiah city. Geographical Engineering of the Land, 5(1), 29-42. (in Persian)
Wamba, S. Queiroz, M. Trinchera, L. (2024). The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA, International Journal of Production Economics, Volume 268, February 2024, 109131.
Winograd, T. (2015). Thinking machines: Can there be? Are we (Vol. 200). University of California Press, Berkeley.
Yan, H., Zhang, H., Liu, L., Zhou, D., Xu, X., Zhang, Z., Yan, S., 2022. Toward intelligent design: an ai-based fashion designer using generative adversarial networks aided by sketch and rendering generators. IEEE Trans. Multimed. 25, 1–25.
تحقیقات کاربردی علوم جغرافیایی

مقالات آماده انتشار، پذیرفته شده
انتشار آنلاین از 01 فروردین 1386