2012
DOI: 10.1016/j.ocecoaman.2012.04.009
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A process-based collaborative model of marine tourism service system – The case of Green Island area, Taiwan

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Cited by 14 publications
(3 citation statements)
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“…Factor analysis ensures the emergence of variable clusters that are outnumbered but independent by combining variables that are moderately or highly associated in order to determine the most effective main criteria [58]. In factor analysis, the principal component analysis (PCA) technique analyzes data by using the varimax rotation method [59].…”
Section: Factor Analysismentioning
confidence: 99%
“…Factor analysis ensures the emergence of variable clusters that are outnumbered but independent by combining variables that are moderately or highly associated in order to determine the most effective main criteria [58]. In factor analysis, the principal component analysis (PCA) technique analyzes data by using the varimax rotation method [59].…”
Section: Factor Analysismentioning
confidence: 99%
“…Gu and Wong (2008) assessed the evolution of marine activities, including coastal tourism. Chen, Ku, and Ying (2012) applied process management and an object-oriented tool to analyze the processes of marine tourism. Biggs et al (2015) examined how socioeconomic and governance contexts influence the resilience of coral reef tourism enterprises in three settings.…”
Section: Introductionmentioning
confidence: 99%
“…Ineffective management of the marine industries including seaside recreational activities and tourism become a cause of conflicts of interests and lead to dissatisfaction by the services provided and irrational use of resources. The collaborative model for the rational administration and management of the seaside tourism is proposed [9].…”
Section: Introductionmentioning
confidence: 99%