Evidence map›Paper›PMID 38295124›Full record

ArticlePloS one2024

Enhancing tourist loyalty through location-based service apps: Exploring the roles of digital literacy, perceived ease of use, perceived autonomy, virtual-content congruency, and tourist engagement.

Shaowei Xiong, Tong Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. 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
18.1field-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

1 citing paper in PubMed, 16 citations in OpenAlex.

  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

2 authors.

Shaowei XiongCollege of Art Design, The College of Post and Telecommunication of WIT, Wuhan, Hubei, China.
Tong ZhangCollege of Art Design, The College of Post and Telecommunication of WIT, Wuhan, Hubei, China.ORCID 0009-0000-1348-1999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced mobile functions and empowered smartphones have provided tourists with various location-based service apps that reshaped the business model of the tourism sector. Despite their importance to tourists, l-apps still have limitations, such as ignorance of tourist preferences and the mismatch between app introduction and tourist experience, therefore affecting tourist loyalty to destinations. Understanding tourist-oriented factors thus becomes critical for l-app designers and service providers. This study integrates the technology-acceptance model (TAM) into a unique context to examine the roles of digital literacy, perceived ease of use, perceived autonomy, virtual-content congruence, and tourist engagement on tourist loyalty. Our empirical test of a structural equation model based on a randomly recruited 319 customers found that tourists' digital literacy influences their engagement and perceived ease of use, which mediates the relationship between digital literacy and engagement; tourists' perceived autonomy influences their engagement. Moreover, we found the moderating role of information-experience congruency between digital literacy, perceived ease of use, and perceived autonomy and tourist engagement, thus contributing to the boundary conditions of the TAM model. Finally, tourist engagement contributes to tourist loyalty. The study contributes to the integration of the technology acceptance model with a tourist orientation. The findings also offer meaningful, practical implications and recommendations on l-app design to stakeholders of tourist destinations.

Indexed as

LiteracySmartphoneCommerceModels, TheoreticalTourism

Identifiers

PMID38295124
PMCPMC10830003
OpenAlexW4391381233

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.