2018
DOI: 10.1177/0047287518786465
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Vacation Posts on Facebook: A Model for Incidental Vicarious Travel Consumption

Abstract: Vicarious consumption of travel is ubiquitous. However little is known about the psychological processes this initiates or the potential for resultant behaviors beyond direct steps toward patronage. We address this gap through developing and testing the incidental vicarious travel consumption model (IVTCM), which draws from well-established knowledge of the self-concept and compensatory consumption. In the context of vicariously consuming idyllic vacation posts on Facebook, the model identifies the following: … Show more

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citations
Cited by 52 publications
(54 citation statements)
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References 99 publications
(144 reference statements)
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“…Liu, Wu, and Li (2018) indicate that luxurious vacation posts generate envy and increase intentions to visit those locations. Marder et al (2018) confirm these results, yet recognize that even though millennials may intend to visit the destinations they have seen on Facebook posts, they may not be able to visit due to financial restrictions. Information gathered from Facebook is likely to be relevant as a leading indicator to least-effort users only in the short run, that is, individuals supposedly consult Facebook for information on their destination of choice only immediately prior to their trip or when they are already on location.…”
Section: Literature Reviewsupporting
confidence: 62%
“…Liu, Wu, and Li (2018) indicate that luxurious vacation posts generate envy and increase intentions to visit those locations. Marder et al (2018) confirm these results, yet recognize that even though millennials may intend to visit the destinations they have seen on Facebook posts, they may not be able to visit due to financial restrictions. Information gathered from Facebook is likely to be relevant as a leading indicator to least-effort users only in the short run, that is, individuals supposedly consult Facebook for information on their destination of choice only immediately prior to their trip or when they are already on location.…”
Section: Literature Reviewsupporting
confidence: 62%
“…Common method bias was tested using the Harmann Common Factor test. A single factor explained 43.71%, which is below the accepted cut-off value of 50.00% (Marder, Archer-Brown, Colliander, and Lambert, 2018). Discriminant validity results using the Fornell-Larcker criteria are shown in Table 2, with all reported values below the square root of AVE (as per Garson, 2016, p. 67).…”
Section: 5validity and Reliabilitymentioning
confidence: 89%
“…To a considerable degree, ICT is about travel communication and self-representation: Facebook, Twitter and Instagram have important functions in this regard, as travel generates envy as well as social and network capital (Hajli et al, 2018;Liu et al, 2019). These processes affect personal and social identities, as well as personalites (G€ ossling & Stavrinidi, 2016;Taylor, 2020), which increasingly co-evolve with technology innovations that support patterns of aspirational consumption of specific destinations or luxury forms of travel (Chen et al, 2020;Liu et al, 2019;Marder et al, 2019).…”
mentioning
confidence: 99%