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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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TRENDS IN SMART TECHNOLOGY USE IN THE TOURISM INDUSTRY

Authors: Makasarashvili Tamar; Giguashvili Giuli;

TRENDS IN SMART TECHNOLOGY USE IN THE TOURISM INDUSTRY

Abstract

Smart technologies are significantly transforming practices and experiences in the tourism industry, both for tourists and businesses. These technologies incorporate innovative approaches that enhance service quality, optimize processes, and personalize user experiences. By integrating digital tools and data, smart technologies are reshaping the travel experience, from trip planning and booking to on-site engagement and post-travel interactions. They aim to make tourism more efficient, personalized, convenient, and sustainable for both travelers and destinations. This paper examines the significance and role of smart technologies and artificial intelligence in the tourism industry's development, as well as the key challenges and trends associated with their implementation.

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Keywords

Smart Technologies, Artificial Intelligence, Smart Tourism, Smart Cities, Tourism Industry

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green