| Title: | Artificial intelligence in travel agencies in Slovenia : 1st cycle professional bachelor's studies graduate thesis |
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| Authors: | ID Bičo, Armin (Author)
ID Brumen, Boštjan (Mentor) More about this mentor...  |
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| Files: |  VS_Bico_Armin_2024.pdf (1,15 MB)
MD5: D581B2BCC2DFE5054E9504042B502CEE
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| Language: | English |
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| Work type: | Bachelor thesis/paper |
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| Typology: | 2.11 - Undergraduate Thesis |
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| Organization: | FT - Faculty of Tourism
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| Abstract: | Guided by the experience of how travel agencies operate and the significant expansion and success of artificial intelligence, an opportunity was seen to connect and explore these two areas. Many business processes in travel agencies are still outdated and monotonous, and can certainly be automated, such as data processing and analysis. Existing systems could be improved, and new ones could be introduced to enhance service quality and market competitiveness. The goal was to investigate how familiar travel agencies in Slovenia are with this technology, if travel agencies have experience with its use, and if integration of the technology into their operations is accepted. The current state of travel agencies in Slovenia and the steps needed for future progress are provided by this research. The focus is placed on the basics of artificial intelligence, travel agencies, and how they can function together. Field results were gathered by interviewing ten travel agencies in the Republic of Slovenia, providing a sample that aids further research. A SWOT analysis was conducted using all the obtained information to understand what artificial intelligence offers. |
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| Keywords: | Travel agency, artificial intelligence, Slovenia, automated, service quality, market competitiveness |
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| Place of publishing: | Maribor |
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| Place of performance: | Brežice |
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| Publisher: | [A. Bičo] |
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| Year of publishing: | 2024 |
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| Number of pages: | 47 str. |
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| PID: | 20.500.12556/DKUM-90425 |
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| UDC: | 338.486.2:004.89(497.4)(043.2) |
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| COBISS.SI-ID: | 212142595 |
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| Publication date in DKUM: | 18.10.2024 |
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| Views: | 207 |
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| Downloads: | 68 |
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| Metadata: |    |
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| Categories: | Misc.
FT
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