Evidence map›Paper›PMID 39199090›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

The Influence of Social Media Usage and Perceived Government Market Orientation on Travel Intention to an Internet Celebrity City: Exploring the Mediating Effects of Place Attachment and Perceived Value.

Wu Tang, Cevat Tosun, Ahmad Edwin Mohamed, Sinan Uslu

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wu TangSchool of Tourism, Hospitality & Event Management, Universiti Utara Malaysia, Sintok 06010, Malaysia.ORCID 0009-0004-7272-2835
Cevat TosunSchool of Business, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0001-6599-6679
Ahmad Edwin MohamedSchool of Tourism, Hospitality & Event Management, Universiti Utara Malaysia, Sintok 06010, Malaysia.ORCID 0000-0002-3563-6936
Sinan UsluFaculty of Tourism, Necmettin Erbakan University, Konya 42090, Turkey.ORCID 0000-0002-1260-3226

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the usage of social media continues to grow and local governments expand their promotional efforts, more internet celebrity cities (ICCs) are emerging as popular tourist destinations. To investigate the internal mechanisms that affect tourists' travel intentions to such destinations, place attachment and perceived value were proposed as two factors reflecting their deeper emotional connections and practical assessments to visit ICCs. This study was conducted to examine the relationship between social media usage, perceived government market orientation (PGMO), place attachment, perceived value, and travel intention in the context of Chongqing, a popular ICC in China. To evaluate the research hypotheses, 750 valid questionnaires were collected and analyzed by structural equation modeling. The results showed that social media usage had a positive impact on tourists' travel intention to Chongqing, while PGMO did not significantly influence travel intention. However, both place attachment and perceived value had mediating effects in the relationship between social media usage, PGMO, and travel intention. This paper concludes with theoretical implications, suggestions for further research, and recommendations for practice.

Indexed as

internet celebrity cityperceived government market orientationperceived valueplace attachmentsocial media usagetravel intention

Identifiers

PMID39199090
PMCPMC11352187

What OpenQuestion holds

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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.