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The 'Insta' effect on the intention to visit a destination: a case for conspicuous consumption?

Ana Maria Soares et al.

Tourism & Management Studies2025https://doi.org/10.18089/tms.20250201article
ABDC C
Weight
0.44

What the paper says

This study analyzes the influence of expected social return derived from content shared on Instagram on the process of selecting a holiday destination. A research model was tested, entailing the impact of Positive and Negative Attitudes, Subjective Norm, Perceived Control, e-Word-of-Mouth (e-WOM) and Social Return on the intention to visit a destination. The findings showed that e-WOM can evoke both positive and negative attitudes, but these attitudes are not antecedents of destination choice. Instead, expected social return, e-WOM and subjective norm directly influence the intention to visit a destination, thus highlighting the importance of expected positive feedback. This paper expands the theory of planned behavior by reinforcing the importance of e-WOM as an antecedent of positive attitude formation. The paper also introduces expected social return via Instagram within the framework of the theory of conspicuous consumption. As a recommendation, destination and tourism managers should use social media marketing to generate hedonic and aspirational value for tourism destinations' positioning.

3 citations

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https://doi.org/https://doi.org/10.18089/tms.20250201

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@article{ana2025,
  title        = {{The 'Insta' effect on the intention to visit a destination: a case for conspicuous consumption?}},
  author       = {Ana Maria Soares et al.},
  journal      = {Tourism & Management Studies},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.18089/tms.20250201},
}

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The 'Insta' effect on the intention to visit a destination: a case for conspicuous consumption?

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.