Mr Masoud Safari Aliakbari,
Volume 0, Issue 0 (3-1921)
Abstract
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.
Dr Marjan Badiee Azandahi, Mr Ehsan Motaghian,
Volume 0, Issue 0 (3-1921)
Abstract
In recent decades, advancements in artificial intelligence (AI) technology and its expanding applications in human life have brought about extensive transformations across various sectors, particularly in the economic sphere. This has significantly heightened the importance of developing this technology for major global powers. Mineral resources serve as the essential raw materials for manufacturing AI-related hardware; consequently, access to these resources is crucial for nations and companies active in this field. Within the geopolitical competition to acquire these mineral resources, the means of controlling and accessing them can be utilized as leverage to exert pressure and impose restrictions on the development of AI technologies. Consequently, countries possessing these resources are pursuing stockpiling and even exploiting resources from other nations to not only increase their own influence and control but also to secure their future access to these materials.
This study is applied research conducted using a descriptive-analytical method. The main research questions are: What role do mineral resources play in the development of AI technology, and how does the geopolitical competition among great powers for acquiring these resources unfold? Based on the research findings, mineral resources, as critical raw materials for manufacturing equipment and a source of capital, significantly impact the production of AI technology hardware. The competition among great powers for these mineral resources often manifests through strategies such as stockpiling, price manipulation, and resource processing. The results indicate that access to, control over, and supervision of the mineral mines used in AI hardware production enable major powers like the United States and China not only to influence the global trajectory of this technology's development and utilization but also to prevent the entry of rival actors into this arena or diminish their potential role.
