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Journal of Travel Research· 2018Q1

Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model

Myung Ja Kim, Choong‐Ki Lee, Timothy Jung

Short summary

Authentic experiences in virtual reality (VR) tourism significantly influence consumers' cognitive and emotional responses, which in turn drive their attachment and intention to visit destinations presented via VR.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Authentic VR experiences positively impact cognitive and affective responses.
  • Cognitive and affective responses mediate the relationship between authenticity and attachment/visit intention.
  • Attachment to VR tourism influences the intention to visit.
  • Cognitive response has a greater impact on visit intention than affective response.

AI-generated from the title and abstract; the full text is not read.

Abstract

Although virtual reality (VR) is an emerging technology in tourism, little research has been conducted on what factors make consumers visit destinations presented by VR. To address this gap in the literature, this study developed a theoretical framework including authentic experience, cognitive and affective responses, attachment, and visit intention with VR tourism using a stimulus-organism-response (SOR) theory. The results revealed significant impacts of authentic experience on cognitive and affective responses, indicating that authentic experience is an important factor in VR tourism. The study identified cognitive and affective responses as significant mediators in predicting attachment and visit intention. The results demonstrated that the intention to visit places shown in VR tourism was influenced by attachment to VR. Cognitive response had a stronger influence than affective response on the intention to visit a destination in VR. This study sheds light on why potential tourists visit destinations shown in VR.

The authors' abstract, as published at the source. Journal of Travel Research, 2018 · DOI ↗

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Field: Human-Computer Interaction

Human-Computer InteractionComputer Science