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17 December 2024 Generative Artificial Intelligence Technology Driving High-Quality Development of Ice and Snow Tourism Industry: Factor Linkage, System Construction and Digital Governance
Han Zhichao, Zou Qinghai, Yu Li, Liang Faze, Wang Yingshu, Zhou Longqi
Author Affiliations +
Abstract

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.

Han Zhichao, Zou Qinghai, Yu Li, Liang Faze, Wang Yingshu, and Zhou Longqi "Generative Artificial Intelligence Technology Driving High-Quality Development of Ice and Snow Tourism Industry: Factor Linkage, System Construction and Digital Governance," Journal of Resources and Ecology 15(6), 1707-1721, (17 December 2024). https://doi.org/10.5814/j.issn.1674-764x.2024.06.025
Received: 13 August 2023; Accepted: 26 April 2024; Published: 17 December 2024
KEYWORDS
digital governance
Generative Artificial Intelligence technology
high-quality development
ice and snow tourism industry
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