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Abstract

This research focuses on the modeling of the causality of sustainable tourism in Qatar. The existing literature illustrates that there is no such model available in context of economy of Qatar. The research follows the procedure of identifying the variables which influence sustainability and seeking the links between them through the contemporary literature. The hypotheses are built to study the significance of relationship between the variables which have been causally linked to each other. Second generation statistical method of Structural Equation Modeling (SEM) using Partial Least Square Method (PLSM) has been used. This method has been specifically chosen for its ability to undertake factor analysis and regression simultaneously and address the issue of multi-colinearity. Confirmatory factor analysis which has been undertaken as the indicators of measurement have proved validity through earlier studies. An instrument of measurement in the form of a questionnaire using 5-point Likert scale has been developed and validated using which the data has been collected for a sample size of 211 (response rate 62%). The respondents were the managers of tourism business in Qatar. The results have indicated that out of ten hypotheses tested six have been accepted. Based on the revelation of hypothesis testing implications have been drawn for the benefit of the tourism managers so that sustainability of tourism can be promoted. This research outcome is useful to the strategic managers of tourism in Qatar particularly in this important stage when Qatar is making preparations to host the 2022 FIFA World Cup.

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/content/papers/10.5339/qfarc.2014.SSPP0775
2014-11-18
2020-02-28
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http://instance.metastore.ingenta.com/content/papers/10.5339/qfarc.2014.SSPP0775
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