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Abstract

The purpose of this paper is to investigate the use of decision tree analysis in the identification of stakeholders who participate in and who do not participate in tourism and political activities in a community. Decision tree analysis is a tool for partitioning a data set based on the relationships between a set of independent variables and a dependent variable. The research reported here tests the application of, decision tree analysis, an analytical technique that is not traditionally used to segment stakeholders in tourism. Based on the results of the decision tree analysis four groups were identified: high participants, high-moderate participants, lowmoderate participants, and low participants.

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USING DECISION TREES TO IDENTIFY TOURISM STAKEHOLDERS BASED ON LEVEL OF PARTICIPATION IN TOURISM AND COMMUNITY POLITICAL ACTIVITIES

The purpose of this paper is to investigate the use of decision tree analysis in the identification of stakeholders who participate in and who do not participate in tourism and political activities in a community. Decision tree analysis is a tool for partitioning a data set based on the relationships between a set of independent variables and a dependent variable. The research reported here tests the application of, decision tree analysis, an analytical technique that is not traditionally used to segment stakeholders in tourism. Based on the results of the decision tree analysis four groups were identified: high participants, high-moderate participants, lowmoderate participants, and low participants.