Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
addClaim

ADAPTIVE REGIONAL DIFFERENTIATION AS THE BASIS FOR THE MONITORING OF TERRITORIAL TOURISM SYSTEMS

ADAPTIVE REGIONAL DIFFERENTIATION AS THE BASIS FOR THE MONITORING OF TERRITORIAL TOURISM SYSTEMS

Abstract

The study examines the critical task of improving the monitoring of territorial systems of tourism regarding regional specifics. Existing monitoring systems, based primarily on static and fragmented statistical data, demonstrate significant limitations in capturing the dynamics and qualitative changes in regional tourism development. The study proposes a monitoring approach based on the principles of adaptive regional differentiation. A key element of the concept is the mechanism for adapting the system of tourism development indicators to the regional specifics of tourism systems in a changing environment. The scientific novelty lies in the combined approach to developing indicator weighting coefficients, which combines retrospective statistical analysis with expert assessments for various types of tourism development, differentiated based on a strategic positioning matrix, taking into account unique combinations of economic, social, environmental, infrastructural, and institutional parameters. Monitoring is implemented through a measurement system integrating traditional data sources and the digital footprint of tourism activity, and a calculation system evaluating integrated indicators for key aspects of tourism development. The concept envisages the identification of indicators with anomalous dynamics, signaling potential risks to tourism development. The practical significance lies in defining the principles for constructing a toolkit for making management decisions based on the results of tourism development monitoring.

Keywords

territorial tourism systems, adaptive regional differentiation, monitoring, integral indicator, adaptive weighting coefficients, tourism development assessment, regional differences, sustainable development, tourism management, comprehensive assessment

  • 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
Green