数字时代海南体育旅游信息化发展战略分析

IF 4.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal on Semantic Web and Information Systems Pub Date : 2023-07-11 DOI:10.4018/ijswis.325788
Y. Zhang
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引用次数: 0

摘要

经过多年的发展,海南省已形成了相当规模的体育旅游产业。本文通过利用DRAT模型重构消费者和企业的价值,探讨数字化如何推动传统体育旅游的转型。分析表明,体育旅游数字化利用技术虚拟化、数据平台建设等创新技术对传统产业进行了解构。现代社会高度发达的信息技术的有效开发和利用,是保证体育旅游产业顺利健康发展的必要条件。传统的体育旅游产业被数字化解构,形成了新的生产、经营和商业模式。在这个过程中,消费者的地位不断提高,企业寻求与消费者合作,创造新的价值定位。
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Analysis on the Development Strategy of Hainan's Sports Tourism Informatization in the Digital Era
After years of development, Hainan Province has established a significant sports tourism industry. This paper explores how digitalization is driving the transformation of traditional sports tourism through the utilization of the DRAT model to reconstruct the value of both consumers and businesses. The analysis shows that the digitalization of sports tourism has deconstructed the traditional industry using innovative technologies such as technological virtualization and data platform construction. The effective development and utilization of highly developed information technology in modern society are essential for ensuring the smooth and healthy growth of the sports tourism industry. The traditional sports tourism industry has been digitally deconstructed, leading to the formation of new production, management, and business models. The status of consumers continues to improve during this process, and companies are seeking to collaborate with consumers to create new value positioning.
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来源期刊
CiteScore
6.20
自引率
12.50%
发文量
51
审稿时长
20 months
期刊介绍: The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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