Tourism 4.0: Data-Driven Covid-19 Recovery

Bradić-Martinović, Aleksandra (2021) Tourism 4.0: Data-Driven Covid-19 Recovery. In: Innovative Aspects of the Development Service and Tourism : Book of proceedings of IX International scientific-practical conference (Stavropol, 22 April 2021) : research materials and reports : Part II. Секвойя, Stavropol. ISBN 978-5-907110-75-5

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Abstract

The COVID-19 pandemic is causing substantial economic
consequences, especially in the tourism sector. Stakeholders of all levels are involved
in the process of mitigating the crisis and finding recovery solutions. Previous
research has pointed to the irreplaceable importance of ICT in tourism, emphasizing
the post-COVID period's benefits. This paper presents the possibility of applying Big
Data analytics during the recovery, bearing in mind that this type of data is becoming
more relevant than ever in the tourism sector. The paper includes an exceptionally
successful example of Big Data analytics in Korea - Asian Development Bank and
Korea Telecom dashboard - Travel Intelligence Platform (TrIP). Based on LTE
(Long-Term Evolution) data, they can estimate tourist's migration, both domestic and
foreign.

Item Type:	Book Section
Additional Information:	COBISS.ID=43335177
Uncontrolled Keywords:	COVID-19, Tourism 4.0, Big Data, ICT in tourism
Research Department:	Digital Economics
Depositing User:	Jelena Banovic
Date Deposited:	28 Jul 2021 11:38
Last Modified:	28 Jul 2021 11:38
URI:	http://35.240.28.64/id/eprint/1622
Author Links:	[error in script] No links available.

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