Wang Lulu
Zhejiang Technical Institute of Economics, Hangzhou, 310018, China.
Heliyon. 2024 Sep 21;10(20):e38256. doi: 10.1016/j.heliyon.2024.e38256. eCollection 2024 Oct 30.
Many sectors, particularly traveling, have been profoundly affected by the fast development of big data technologies. This article provides a detailed examination of the development and execution of a Tourism Management Information System (TMIS) that utilizes big data analytics to improve operational effectiveness, gain insights into tourist behavior, and encourage sustainable tourism practices. The system combines data from several sources, including booking systems, social media platforms, and tracking devices, and addresses issues related to data privacy, quality, and integration. The TMIS utilizes statistical information to provide tailored tourist experiences, enhance resource allocation, and aid in long-term planning. The study emphasizes the significance of strong data management, which involves assuring the precision of data and its immediate significance. Additionally, this article examines the potential of big data in promoting a strong and creative tourism industry. It highlights the importance of future studies in exploring sustainable uses of big data and the incorporation of novel technologies, such as artificial intelligence, to improve personalized experiences. The present research highlights the significant and positive influence of big data on the management of tourism. It offers a structured approach for implementing big data in practice and sets the stage for long-term and sustainable growth in the tourism sector.
许多行业，尤其是旅游业，已受到大数据技术快速发展的深刻影响。本文详细探讨了一个旅游管理信息系统（TMIS）的开发与实施，该系统利用大数据分析来提高运营效率、洞察游客行为并促进可持续旅游实践。该系统整合了来自多个来源的数据，包括预订系统、社交媒体平台和追踪设备，并解决了与数据隐私、质量和整合相关的问题。TMIS利用统计信息来提供个性化的游客体验、优化资源分配并辅助长期规划。该研究强调了强大数据管理的重要性，这包括确保数据的准确性及其即时相关性。此外，本文还探讨了大数据在推动强大且富有创意的旅游业方面的潜力。它强调了未来研究在探索大数据可持续用途以及纳入人工智能等新技术以改善个性化体验方面的重要性。本研究突出了大数据对旅游管理的重大积极影响。它提供了一种在实践中实施大数据的结构化方法，并为旅游业的长期可持续增长奠定了基础。
