Internet of Things and Big Data Analytics for Risk Management in Digital Tourism Ecosystems

Participation and inclusion in the business ecosystem have emerged as a growing trend for company collaboration in areas such as innovation, product development, and research. Collaborations can take many forms, ranging from the traditional value chain to strategic alliances, corporate networks, and...

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Bibliographic Details
Published in:Risks (Basel) 2023-10, Vol.11 (10), p.180
Main Authors: Popova, Petya, Marinova, Kremena, Popov, Veselin
Format: Article
Language:English
Subjects:
Alliances
Bibliometrics
Big data
Big Data Analytics
Brand loyalty
Collaboration
Data mining
digital ecosystem
digital tourism ecosystem
Efficiency
Energy consumption
Information management
Internet of Things
IoT
Literature reviews
Product development
R&D
Research & development
Risk management
smart tourism destination
Technology application
Tourism
Travel industry
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Summary:Participation and inclusion in the business ecosystem have emerged as a growing trend for company collaboration in areas such as innovation, product development, and research. Collaborations can take many forms, ranging from the traditional value chain to strategic alliances, corporate networks, and digital ecosystems. The Internet of Things (IoT) and Big Data Analytics (BDA) play key roles in developing smart tourism destinations by delivering efficient management solutions, increased public safety, and improved operational efficiency while managing different risks and challenges, while also being a source of such risks and challenges. The objective of this article was to investigate the potential of IoT and BDA to properly control the risks associated with participants in a tourism destination’s digital ecosystem. The authors used the systematic literature review (SLR) method to examine scientific and applied articles on this subject. As a result, the main risks of the digital tourism ecosystem (DTE) as a whole and of the IoT and BDA technologies used in it were identified and classified; the features of DTE that affect risk management in it were distinguished; IoT technologies and their applications used in DTE were outlined; and the roles of DTE participants and the possible IoT technologies that can successfully address the risks associated with a given role were defined.
ISSN:2227-9091
2227-9091
DOI:10.3390/risks11100180