| Title: | Potential integration of metaverse, non-fungible tokens and sentiment analysis in quantitative tourism economic analysis |
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| Authors: | ID Gričar, Sergej (Author)
ID Šugar, Violeta (Author)
ID Baldigara, Tea (Author)
ID Folgieri, Raffaella (Author) |
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| Files: |  RAZ_Gricar_Sergej_i2023.pdf (2,26 MB)
MD5: F77B7EBE111810E48A586ACC1080F532
 https://www.mdpi.com/1911-8074/17/1/15
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | UNM FPUV - University of Novo mesto - Faculty of Bussines and Managament Sciences
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| Abstract: | With the emergence of the metaverse, countries’ digital efforts to create tourism opportunities have given rise to the possibility of capitalising on digital content which, along with physical
tourism experiences, can generate further income and enhance a country’s reputation. Non-fungible
tokens (NFTs), a unique application of blockchain technology, offer an enabling technology in several
sectors, including tourism. Therefore, this study aims to explore the official tourism websites of
Croatia and Slovenia and analyse current NFT applications in tourism economics. The methodology
focuses explicitly on sentiment analysis, blockchain and machine learning. The paper introduces
various applications currently in place, including Slovenia’s “I Feel Nft” project. The research shows
that the main benefits of using NFT and sentiment analysis in the tourism economy are the promotion
and presentation of major tourist destinations, exhibitions, works of art, and companies’ products in
tokens, digital content and souvenirs. The adoption of sentiment analysis and NFTs in the tourism
economy is still open to proposals for implementing public quantitative data metrics. Therefore,
the scientific contribution of this research is essential in terms of operational recommendations and
defining metrics for measuring the effectiveness of those methodologies and their applications in
the tourism economy. On top of that, the practical contribution lies in monitoring the influx of
tourists, and highlighting their increase over time and the significance of new technology in time
series tourism research. |
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| Year of publishing: | 2023 |
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| Number of pages: | str. 1-18 |
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| Numbering: | Vol. 17, iss. 1, article no. 15 |
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| PID: | 20.500.12556/ReVIS-10224  |
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| COBISS.SI-ID: | 179288835 |
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| UDC: | 338.487+336.74:004.7 |
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| ISSN on article: | 1911-8074 |
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| DOI: | 10.3390/jrfm17010015 |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 3. 1. 2024;
Ostale avtorice: Violeta Šugar, Tea Baldigara, Raffaella Folgieri;
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| Publication date in ReVIS: | 04.01.2024 |
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| Views: | 37873 |
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| Downloads: | 19 |
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| Metadata: |    |
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