旅游产业大数据

Sanaz Shafiee, A. R. Ghatari
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引用次数: 11

摘要

旅游业作为一项基础设施和生产性产业,在现代经济中占有重要地位,其范围和功能各不相同。如果发展得当,将扩大和促进各国的文化关系和经济发展。网络开发作为互联网上的一种应用工具,对旅游业的成功起着至关重要的作用,对其进行合理的开发可以为旅游业的进一步发展和成功铺平道路。另一方面,当今世界的数据量不断增加,对大数据集的分析被称为大数据,这已经转化为增强竞争的战略手段,并建立了新的发展、增长、创新和增加客户数量的方法。如今,大数据是数字时代信息管理的重要问题之一,也是旅游业最大限度优化利用信息的主要机遇之一。大数据可以塑造智能旅行的体验。这些数据来源的显著增长激发了理解不同领域的社会经济现象的新战略。大数据的分析方法强调以前所未有的广度、深度和规模收集和分析数据的能力,以解决现实生活中的问题并加以利用。事实上,大数据分析为发展现代知识或改变我们对这一范围的理解打开了各种机会的大门,并支持旅游业的决策。本研究旨在展示大数据分析对发现旅游行业行为模式的帮助,并提出一种数据在旅游中的应用模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data in tourism industry
As an infrastructural and productive industry, tourism is very important in modern economy and includes different scopes and functions. If it is developed appropriately, cultural relations and economic development of countries will be extended and provided. Web development as an applied tool in the internet plays a very determining role in tourism success and proper exploitation of it can pave the way for more development and success of this industry. On the other hand, the amount of data in the current world has been increased and analysis of large sets of data that is referred to as big data has been converted into a strategic approach to enhance competition and establish new methods for development, growth, innovation, and enhancement of the number of customers. Today, big data is one of the important issues of information management in digital age and one of the main opportunities in tourism industry for optimal exploitation of maximum information. Big data can shape experiences of smart travel. Remarkable growth of these data sources has inspired new Strategies to understand the socio-economic phenomenon in different fields. The analytical approach of big data emphasizes the capacity of data collection and analysis with an unprecedented extent, depth and scale for solving the problems of real life and uses it. Indeed, big data analyses open the doors to various opportunities for developing the modern knowledge or changing our understanding of this scope and support decision-making in tourism industry. The purpose of this study is to show helpfulness of big data analysis to discover behavioral patterns in tourism industry and propose a model for employing data in tourism.
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