A Study of Artificial Intelligence and E-Commerce Economy

سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 241

فایل این مقاله در 20 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_BGS-6-3_009

تاریخ نمایه سازی: 6 مرداد 1403

چکیده مقاله:

Artificial intelligence (AI) is a cutting-edge design and interaction technology aiding organizations in the competitive international e-commerce landscape. Research on AI in this field remains incomplete, as few papers have examined the evolution of knowledge infrastructure. AI's development will influence international trade in various ways, including macroeconomic impacts and related trade effects. For example, if AI boosts productivity growth, it could spur economic growth and create new international trade opportunities. Currently, global productivity growth rates are low, with multiple proposed causes. Low productivity growth is crucial in understanding AI's potential impact since economies take time to effectively integrate and utilize new technologies, especially complex ones like AI. AI is already influencing the development and management of global value chains (GVCs). It enhances predictions of future trends, such as shifts in consumer demand, and improves risk management across supply chains. By enabling businesses to manage complex, dispersed production units more effectively, AI tools can increase the overall efficiency of GVCs. This research highlights that international e-commerce innovation has revolutionized shopping, allowing consumers to purchase goods and services from anywhere in the world with a few clicks. Technological advancements have propelled international e-commerce beyond simple online transactions. Future changes in international e-commerce payments will be driven by technological advances and evolving consumer preferences. To succeed in this fast-paced environment, businesses must adapt by integrating cutting-edge payment methods and prioritizing secure, seamless experiences. Finally, the continuous growth of technical intelligence has spurred innovations and updates that simplify business operations and accelerate progress.Artificial intelligence (AI) is a cutting-edge design and interaction technology aiding organizations in the competitive international e-commerce landscape. Research on AI in this field remains incomplete, as few papers have examined the evolution of knowledge infrastructure. AI's development will influence international trade in various ways, including macroeconomic impacts and related trade effects. For example, if AI boosts productivity growth, it could spur economic growth and create new international trade opportunities. Currently, global productivity growth rates are low, with multiple proposed causes. Low productivity growth is crucial in understanding AI's potential impact since economies take time to effectively integrate and utilize new technologies, especially complex ones like AI. AI is already influencing the development and management of global value chains (GVCs). It enhances predictions of future trends, such as shifts in consumer demand, and improves risk management across supply chains. By enabling businesses to manage complex, dispersed production units more effectively, AI tools can increase the overall efficiency of GVCs. This research highlights that international e-commerce innovation has revolutionized shopping, allowing consumers to purchase goods and services from anywhere in the world with a few clicks. Technological advancements have propelled international e-commerce beyond simple online transactions. Future changes in international e-commerce payments will be driven by technological advances and evolving consumer preferences. To succeed in this fast-paced environment, businesses must adapt by integrating cutting-edge payment methods and prioritizing secure, seamless experiences. Finally, the continuous growth of technical intelligence has spurred innovations and updates that simplify business operations and accelerate progress.

نویسندگان

Mehdi Zare Sakhvidi

Department of Economics, Semnan University, Semnan, Iran

Rahman Saadat

Department of Economics, Semnan University, Semnan, Iran