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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-10-01
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| Series: | Risks |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9091/11/10/180 |
| _version_ | 1797572345053839360 |
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| author | Petya Popova Kremena Marinova Veselin Popov |
| author_facet | Petya Popova Kremena Marinova Veselin Popov |
| author_sort | Petya Popova |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T20:54:55Z |
| format | Article |
| id | doaj.art-a0456b5695294fc499a387d0fbf62859 |
| institution | Directory Open Access Journal |
| issn | 2227-9091 |
| language | English |
| last_indexed | 2024-03-10T20:54:55Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Risks |
| spelling | doaj.art-a0456b5695294fc499a387d0fbf628592023-11-19T18:01:00ZengMDPI AGRisks2227-90912023-10-01111018010.3390/risks11100180Internet of Things and Big Data Analytics for Risk Management in Digital Tourism EcosystemsPetya Popova0Kremena Marinova1Veselin Popov2Tsenov Academy of Economics, 5250 Svishtov, BulgariaTsenov Academy of Economics, 5250 Svishtov, BulgariaTsenov Academy of Economics, 5250 Svishtov, BulgariaParticipation 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.https://www.mdpi.com/2227-9091/11/10/180risk managementIoTBig Data Analyticsdigital ecosystemdigital tourism ecosystemsmart tourism destination |
| spellingShingle | Petya Popova Kremena Marinova Veselin Popov Internet of Things and Big Data Analytics for Risk Management in Digital Tourism Ecosystems Risks risk management IoT Big Data Analytics digital ecosystem digital tourism ecosystem smart tourism destination |
| title | Internet of Things and Big Data Analytics for Risk Management in Digital Tourism Ecosystems |
| title_full | Internet of Things and Big Data Analytics for Risk Management in Digital Tourism Ecosystems |
| title_fullStr | Internet of Things and Big Data Analytics for Risk Management in Digital Tourism Ecosystems |
| title_full_unstemmed | Internet of Things and Big Data Analytics for Risk Management in Digital Tourism Ecosystems |
| title_short | Internet of Things and Big Data Analytics for Risk Management in Digital Tourism Ecosystems |
| title_sort | internet of things and big data analytics for risk management in digital tourism ecosystems |
| topic | risk management IoT Big Data Analytics digital ecosystem digital tourism ecosystem smart tourism destination |
| url | https://www.mdpi.com/2227-9091/11/10/180 |
| work_keys_str_mv | AT petyapopova internetofthingsandbigdataanalyticsforriskmanagementindigitaltourismecosystems AT kremenamarinova internetofthingsandbigdataanalyticsforriskmanagementindigitaltourismecosystems AT veselinpopov internetofthingsandbigdataanalyticsforriskmanagementindigitaltourismecosystems |