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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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DEVELOPMENT PROCESS OF GASTRONOMIC TOURISM SECTOR WITH DIGITAL TECHNOLOGIES IN FERGHANA VALLEY

Authors: Teshabayeva Odina Nasridinovna; Muhtorov Akmaljon Akbarjon ugli;

DEVELOPMENT PROCESS OF GASTRONOMIC TOURISM SECTOR WITH DIGITAL TECHNOLOGIES IN FERGHANA VALLEY

Abstract

This study investigates the development process of the gastronomic tourism sector in the Ferghana Valley, Uzbekistan, with a specific focus on the integration of digital technologies. Using a mixed-methods approach, the research applies Porter's Five Forces model and SWOT analysis to evaluate the competitive environment and strategic positioning of gastronomic tourism enterprises. The study identifies key digital tools—such as mobile applications, social media marketing, virtual culinary experiences, and online booking platforms—that enhance tourist engagement, improve service delivery, and strengthen market competitiveness. Findings indicate that digital transformation significantly contributes to product differentiation, customer personalization, and sustainable growth in the gastronomic tourism sector. The research provides practical recommendations for tourism stakeholders, including strategies for leveraging digital innovations to promote local cuisine, optimize operational efficiency, and foster regional economic development.

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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