Evidence map›Paper›PMID 38886479›Full record

ArticleScientific reports2024

Unique attributes of official endorsers in destination marketing.

Yipeng Zhao, Yan Li, Bo Liu, Haodong Chang, Yining Guo

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Yipeng ZhaoCollege of Management Science, Chengdu University of Technology, Chengdu, China.
Yan LiCollege of Mathematics and Physics, Chengdu University of Technology, Chengdu, China. 32399991@qq.com.
Bo LiuCollege of Management Science, Chengdu University of Technology, Chengdu, China.
Haodong ChangCollege of Mathematics and Physics, Chengdu University of Technology, Chengdu, China.
Yining GuoCollege of Mathematics and Physics, Chengdu University of Technology, Chengdu, China.

Funding

Chengdu Philosophy and Social Science Research Base-Chengdu Park City Demonstration Zone Construction Research Institute GYCS2022-YB006Chengdu Philosophy and Social Science Research Base-Chengdu Park City Demonstration Zone Construction Research Institute GYCS2022-ZD002Sichuan Province Key Research Bases of Philosophy and Social Sciences-Regional Information Technology Public Management Research Institute QGXH22-03
6 · The paper itself

Abstract

Along with the digital transformation of the administrative environment and the end of the COVID-19 pandemic, official endorsers have nurtured a new channel for tourism destination marketing, which is of great significance to local economic recovery. However, less attention has been paid to the different effects of endorsement between ordinary endorsers and official endorsers, mainly due to their contrasting social statuses. To bridge the research gap, the source credibility model and social identity theory are integrated to construct the distinctive attributes of officials, as well as structural equation model is utilized to explore the underlying mechanism of official endorsement. Findings indicate that trustworthiness, the sense of authority, expertise, and attractiveness have direct positive effects on official identification, while also indirectly influencing tourists' attitudes toward the destination through official identification. These findings provide theoretical and managerial implications for the local government managers involved in tourism destination marketing.

Indexed as

COVID-19MarketingTourismAdultFemaleHumansMalePandemicsSARS-CoV-2Social IdentificationEndorsement traits differenceIdentification theoryOfficial endorsementsStructure equation model

Identifiers

PMID38886479
PMCPMC11183219

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.