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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Hospitali...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Hospitality and Tourism Management
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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The sister cities program and tourism

Authors: Cohen Gil;

The sister cities program and tourism

Abstract

Abstract This research attempts to examine the extent to which the Sister Cities program, affects local tourism. The theoretical model presented here argues that for both countries to benefit from that program a mutual compatibility must be met. The compatibility requirements suggested are same size category and mutual cultural environment that includes political, religious, and ideological agenda. Empirical testing has found that the most beneficial coupling method, in terms of the number of tourists and the length of time they spend, was the same sizes method (Big-Big and Small-Small), with an emphasis on Big-Big, which was found to be the best coupling method. The model designed here, and the empirical results may assist tourism policy makers to design a more efficient Sister Cities engagement policy for their country.

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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!
14
Top 10%
Average
Top 10%
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