Abstract
The economic, cultural and environmental benefits of mega-events justify conducting tourism research articles based on tourists’ intention to visit the event destination. These decisions are likely influenced by behavioral attributes and social interaction. In the current study, we assessed potential predictors of tourists’ intention to visit the Riyadh Season using a theory of planned behavior (TPB) model and three variables of social networking service (SNS) variables, including SNS use, SNS content and trip experience sharing (TES). Results showed that the perceived behavioral control and subjective norms were antecedent TPB predictors of participants’ intentions to visit the destination. Additionally, the benefits of SNS content in organizing/planning events were independently associated with behavioral motivations. SNS attributes were not significant moderators of the relationship between subjective norms and tourists’ intentions. National authorities are required to focus on improving the content of SNS while planning for future mega-events to enrich tourists’ experience and support their motivation and decision.
Funder
The Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University (KFU), Saudi Arabia
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
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