Evidence map›Paper›PMID 40841747›Full record

ArticleScientific reports2025

Perceived quality symbols in short-video social media drive ski tourism behavior.

Qi Yang, Tingting Zhang, Irina Mukambaeva, Nurbek Mukambaev

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Qi YangDepartment of Public P.E., Luoyang Normal University, Luoyang, 471934, China. yangqi@lynu.edu.cn.
Tingting ZhangInformatization Center, Luoyang Normal University, Luoyang, 471934, China.
Irina MukambaevaKyrgyz National University named after J. Balasagyn, Bishkek, 720033, Kyrgyz Republic.
Nurbek MukambaevKyrgyz National University named after J. Balasagyn, Bishkek, 720033, Kyrgyz Republic.

Funding

Philosophy and Social Sciences Planning Project of Henan Province 2024BTY032Science and Technology Tackling Project of Henan Province 252102321135
6 · The paper itself

Abstract

The rise of short-video social media platforms has transformed consumer decision-making in tourism, particularly in high-risk activities such as ski tourism. This study, grounded in semiotic theory, explored the influence of perceived quality symbols on short-video content on tourists' behavioral motivation, risk perception, and intention to participate in ski tourism. Using a mixed-methods approach, qualitative analysis identified key symbolic dimensions-environmental quality, informational quality, interactive quality, vlogger quality, and service quality-while quantitative analysis validated the "perceived quality symbol-motivation-behavior" model. Findings reveal that perceived quality symbols significantly enhance behavioral motivation and intention, though they do not directly affect risk perception. However, risk perception serves as a negative moderator in the relationship between quality symbols and motivation, indicating a nuanced interplay between symbolic representations and perceived risks. These findings contribute to the theoretical discourse on symbolic interactionism in digital tourism and provide practical insights for destination marketing strategies. By elucidating the impact of visual narratives on consumer perceptions, this study highlights the pivotal role of short-video content in shaping tourism behavior in high-risk settings.

Indexed as

SkiingSocial MediaTourismAdultConsumer BehaviorDecision MakingFemaleHumansMaleMotivationYoung AdultBehavioral motivationPerceived quality symbolsRisk perceptionSemiotic theoryShort-video social mediaSki tourism

Identifiers

PMID40841747
PMCPMC12371058

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.