Evidence map›Paper›PMID 35432069›Full record

ArticleFrontiers in psychology2022

Impact of Destination Image Formation on Tourist Trust: Mediating Role of Tourist Satisfaction.

Abdelhamid Jebbouri, Heqing Zhang, Zahid Imran, Javed Iqbal, Nasser Bouchiba

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
30.8field-weighted citation impact, top 1% of its field
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

7 citing papers in PubMed, 81 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Abdelhamid JebbouriSchool of Tourism, Guangzhou University, Guangzhou, China.
Heqing ZhangSchool of Tourism, Guangzhou University, Guangzhou, China.
Zahid ImranLahore Business School, University of Lahore, Lahore, Pakistan.
Javed IqbalSchool of Education, Guangzhou University, Guangzhou, China.
Nasser BouchibaDepartment of Political Science, Sun Yat-sen University, Guangzhou, China.
Guangzhou University · CNSun Yat-sen University · CNUniversity of Lahore · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tourist destinations with cultural heritage have arisen as a prominent issue in tourism literature. Creating a positive image of the destination can influence tourists' satisfaction and willingness to return. The goal of this research is to investigate the relationship between destination image formation (DIF), tourist satisfaction (TS), and tourist trust (TT). As a result, the structural relationships between local community participation (LCP), authenticity (A), access to local products (ALP), TS, and TT were investigated in this study. This study used a quantitative approach based on a survey of 644 domestic and foreign tourists visiting the Guangdong cities of Guangzhou, Foshan, and Shenzhen. The statistical software SmartPLS 3.3.3 was used to determine the relationship between variables in the research model using structural equation modeling. The outcomes show a positive correlation between LCP, A, and ALP, which led to tourist satisfaction and, eventually, tourist trust. It is concluded that the DIF and TS may result in increased tourist trust. There is also a discussion of additional theoretical contributions, practical implications, and limitations. The outcomes of this study will help to shed light on the variables that encourage and promote tourism in developing countries.

Indexed as

authenticitydestination image formationmeasurement analysisstructural equation modelingtourist satisfactiontourist trust

Identifiers

PMID35432069
PMCPMC9011135
OpenAlexW4220952273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.