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AuthorKhan, Sulaiman
AuthorKhan, Habib Ullah
Available date2023-01-31T08:03:22Z
Publication Date2022
Publication NameJournal of Theoretical and Applied Information Technology
ResourceScopus
ISSN1992-8645
URIhttp://hdl.handle.net/10576/39261
URIhttp://www.jatit.org/volumes/Vol100No22/27Vol100No22.pdf
AbstractGlobally, events arrangement and management have become an inspiring component for the destination marketing. Tourism industry is intemperately thriving on information produced specifically through big data. Big data provides advanced and relevant inferences concerning behavior patterns, human activities and emotion analysis of tourists that will empower management and the tourism industry. This research work accomplished by executing a systematic literature review (SLR) to analyze the relevant research work reported recently in the targeted research domain. To perform this SLR work the relevant articles are accumulated from well-reputed online repositories including IEEE Xplore, ScienceDirect, Taylor & Francis, and SpringerLink. These articles were analyzed for their quality based on the research questions and their ability to answer them. This research mainly focusing on using the previous work as an evident to efficiently manage the crowd during the FIFA World Cup 2022 in the State of Qatar. This research work also aims to identify the guidelines and key steps that will laterally assist in boosting the hotel and touring industry in the State of Qatar. Findings of this systematic analysis will open new research directions for the research community to improve the tourism and marketing industry in a specific region.
SponsorThe Qatar University Internal Grant No. QUHICBE-21/22-1 funded this publication.
Languageen
PublisherLittle Lion Scientific
SubjectBig Data
Systematic Literature Review
Tourism
Tourism Industry
TitleROLE OF BIG DATA ANALYTICS AND FIFA WORLD CUP 2022 ON THE QATAR'S TOURISM INDUSTRY: SYSTEMATIC REVIEW
TypeArticle
Pagination6731-6740
Issue Number22
Volume Number100
dc.accessType Abstract Only


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