Generative Artificial Intelligence Technology Driving High-Quality Development of Ice and Snow Tourism Industry: Factor Linkage, System Construction and Digital Governance

联动装置(软件) 旅游 公司治理 质量(理念) 业务 生成语法 环境资源管理 计算机科学 地理 人工智能 环境科学 气象学 财务 生物化学 基因 认识论 哲学 考古 化学
作者
Han Zhichao,Zou Qinghai,Yu Li,Faze Liang,Wang Ying-shu,Zhou Longqi
出处
期刊:Journal of resources and ecology [BioOne (Institute of Geographic Scienes and Natural Resources Research, Chinese Academy of Sciences)]
卷期号:15 (6) 被引量:4
标识
DOI:10.5814/j.issn.1674-764x.2024.06.025
摘要

Generative Artificial Intelligence technology embedded brings new opportunities and challenges for the high-quality development of ice and snow tourism industry. Using literature and other research methods, we constructed the element linkage and system of generative AI technology to drive the high-quality development of the ice and snow tourism industry and proposed the digital governance path. The results showed that: (1) The factor linkage of high-quality development of ice and snow tourism industry with integrated basic structure and coupled central system of multi-factor linkage; multi-directional strategic objectives and synergistic triple benefits; and intelligent operation logic and precise matching of supply and demand has been constructed. (2) Based on the synergy of digital governance elements, a five-factor synergistic development system was built with digital talent elements, technological innovation elements, product innovation elements, data resource elements and channel innovation elements. (3) The synergy of elements provided digital governance path guidelines for the high-quality development of ice and snow tourism industry, digital governance system: precise supply of policies and regulations, and strengthening of soft and hard constraints to promote; digital governance structure: building a three-dimensional regulatory mechanism, and advancing the governance process of targeting; digital governance subject: driving the two-way reach of the governance subject, and strengthening the common governance of pluralistic subjects; digital governance capacity: precise allocation of governance resources, and driving the transformation and upgrading of elemental endowments. The results of this research can help to provide ideas and reference for the high-quality development of ice and snow tourism industry empowered by Generative Artificial Intelligence technology and improve the theoretical research on the high-quality development of ice and snow tourism industry.
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