The Effects of Social Networking Services on Tourists’ Intention to Visit Mega-Events during the Riyadh Season: A Theory of Planned Behavior Model

• Published in: Sustainability Vol. 14; no. 21; p. 14481
• Main Authors: Al-Khaldy, Dayal Ali W, Hassan, Thowayeb H, Abdou, Ahmed Hassan, Abdelmoaty, Mostafa A, Salem, Amany E
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2022
• Subjects: Attitudes; Decision making; Economic development; Economic models; Festivals; Infrastructure; Market strategy; Marketing; Motivation; Networking; Norms; Olympic games; Seasons; Social aspects; Social behavior; Social factors; Social interaction; Social networks; Social organization; Sports fans; Sustainability; Theory of planned behavior; Tourism; Tourists; Travel industry; Saudi Arabia; Riyadh Saudi Arabia
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su142114481

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.