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Big Data Research in the Tourism Industry: Requirements and Challenges

机译:旅游业大数据研究:要求和挑战

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摘要

Nowadays, people and things are becoming permanently interconnected. This interaction overloaded the world with an incredible digital data deluge—termed big data—generated from a wide range of data sources. Indeed, big data has invaded the domain of tourism as a source of innovation that serves to better understand tourists' behavior and enhance tourism destination management and marketing. Thus, tourism stakeholders have increasingly leveraging tourism-related big data sources to gather abundant information concerning all tourism industry axes. However, big data has several complexity aspects and brings commensurate challenges that go along with its exploitation. It has specifically changed the way data is acquired and managed, which may influence the nature and the quality of the conducted analyses and the made decisions. Thus, this article investigates the big data acquisition process and thoroughly identifies its challenges and requirements. It also reveals its current state-of-the-art protocols and frameworks.
机译:如今,人和事物正在变得永久互联。这种互动以令人难以置信的数字数据删除了从各种数据源产生的大数据生成的全球。实际上,大数据已经入侵了旅游领域作为创新的来源,用于更好地了解游客的行为,并加强旅游目的地管理和营销。因此,旅游利益相关者越来越多地利用与旅游相关的大数据来源,以收集有关所有旅游业轴的丰富信息。但是,大数据有几个复杂性方面,并带来了与剥削相同的挑战。它已经具体改变了所获取和管理的方式,这可能影响所进行的分析和所做的决策的性质和质量。因此,本文调查了大数据采集过程,并彻底识别其挑战和要求。它还揭示了其当前的最先进的协议和框架。

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