Using structural equations modeling using the method of least squares PLS, to assess the role of Algerian tourism influencers on social networking sites in choosing a tourist destination from the point of view of their Algerian flowers
Abstract
The study aimed to identify the role of Algerian tourism influencers on social networking sites in choosing a tourist destination from the point of view of their Algerian followers, using structural equations modeling using the method of partial least squares method (SEM-PLS), and applying the importance –performance map analysis (IPMA) to evaluate the dimensions of influencers in tourism destination. The quantitative method was employed by applying it to a sample of 384 individuals. To achieve the objectives of the study, the electronic questionnaire was used, and SMART PLS 4 software was used to analyze it. The study concluded that there is a significant positive effect of the Algerian tourism influencers in its various dimensions (personality- credibility- trust) in determining the tourist destination of the Algerian citizen. The study also recommended that the authorities responsible for the tourism sector in Algeria rely on influencers in order to promote domestic tourism.
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