Evidence map›Paper›PMID 40638693›Full record

ArticlePloS one2025

How perceived eWOM in visual form influences online purchase intention on social media: A research based on the SOR theory.

Chi Thanh Bui, Thi Thuy An Ngo, Huynh Khanh Long Chau, Nguyen Phuc Nguyen Tran

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Chi Thanh BuiDepartment of Business, FPT University, Can Tho, Vietnam.
Thi Thuy An NgoDepartment of Soft Skills, FPT University, Can Tho, Vietnam.ORCID https://orcid.org/0000-0001-7510-972X
Huynh Khanh Long ChauDepartment of Business, FPT University, Can Tho, Vietnam.ORCID https://orcid.org/0009-0001-3362-5299
Nguyen Phuc Nguyen TranDepartment of Business, FPT University, Can Tho, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In today's digital landscape, visual content plays a crucial role in shaping consumer behavior. This study explores how visual electronic word-of-mouth (eWOM) on social media influences online purchase intention, applying the Stimulus-Organism-Response (SOR) framework. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze data from 335 social media users, this study examines the effects of visual eWOM's quality, quantity, and credibility on consumer perceptions, attitudes, and ultimately their purchase intentions. Our findings reveal that the quality and credibility of visual eWOM significantly enhance perceived information usefulness and its adoption by consumers. Information quantity, however, primarily influences attitudes towards the information, but does not directly drive its adoption. Contrary to expectations, information usefulness alone cannot predict purchase intention. Instead, information adoption emerges as a key mediator, indicating that consumers must actively engage with and internalize visual content for it to impact their buying behavior. This underscores that the effectiveness of visual eWOM is not solely based on its characteristics but depends on consumers' active engagement and processing. These insights highlight the need for content that is not only visually appealing but also credible and engaging to facilitate information adoption and drive purchase intentions. This study enhances the understanding of visual eWOM's impact on online purchasing and provides valuable insights for marketers aiming to optimize digital engagement strategies.

Indexed as

Consumer BehaviorIntentionSocial MediaAdolescentAdultFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID40638693
PMCPMC12244485

What OpenQuestion holds

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LicenceCC BY
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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.