Big Data Research in the Tourism Industry: Requirements and Challenges

被引:4
|
作者
Mountasser, Imadeddine [1 ]
Ouhbi, Brahim [1 ]
Frikh, Bouchra [2 ]
Hdioud, Ferdaous [3 ]
机构
[1] Moulay Ismail Univ, Natl Higher Sch Arts & Craft, Meknes, Morocco
[2] Sidi Mohamed Ben Abdellah Univ, Higher Sch Technol, Fes, Morocco
[3] Mohammed V Univ, Fac Sci, Rabat, Morocco
关键词
Apache Flume; Big Data Acquisition; Data Acquisition Protocols; Kafka; Smart Tourism Destination; Tourism Big Data; SOCIAL MEDIA; ONLINE; HOSPITALITY; INFORMATION; REVIEWS; FOUNDATIONS; ANALYTICS; GPS;
D O I
10.4018/IJMCMC.2020100102
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
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.
引用
收藏
页码:26 / 41
页数:16
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