Evidence map›Paper›PMID 42302048›Full record

ArticlePloS one2026

Research on the influencing factors and mechanism of AR e-commerce consumers' purchase intention.

Xiaodong Zhang, Pan Yang, Chunrong Guo, Pan He

Abstract read
In one paragraph

Article in PloS one, 2026. 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.

Xiaodong ZhangSchool of Economics and Management, Inner Mongolia Agricultural University, Hohhot, China.
Pan YangSchool of Economics and Management, Inner Mongolia Agricultural University, Hohhot, China.
Chunrong GuoSchool of Economics and Management, Ningbo University of Technology, Ningbo, China.ORCID https://orcid.org/0000-0001-6124-5165
Pan HeSchool of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the backdrop of the digital economy and the increasing integration of virtual and physical consumption scenarios, augmented reality (AR) e-commerce reshapes the shopping experience by overlaying virtual information onto real-world contexts, thereby accelerating the industry's shift from traffic-driven competition to experience-based competition. However, existing studies remain insufficient in explaining the underlying mechanism through which AR e-commerce influences consumers' purchase intention, and the applicability of the stimulus-organism-response (S-O-R) framework in virtual-real integrated environments has not been adequately extended. Drawing on the S-O-R paradigm, this study conceptualizes four key AR-enabled characteristics-immersive virtual try-on, interactive product display, real-time fusion shopping, and personalized recommendation-as stimulus variables (S). Perceived value and brand attitude are modeled as organism variables (O), and purchase intention is treated as the response variable (R), forming an integrated conceptual model. Using survey data collected from 482 valid respondents, structural equation modeling (SEM) is employed to test the proposed relationships. The results indicate that all four AR stimuli indirectly enhance purchase intention by positively affecting perceived value and brand attitude. Among the stimulus dimensions, real-time fusion shopping exerts the strongest positive effect on perceived value (β = 0.290), whereas personalized recommendation shows the most pronounced effect on brand attitude (β = 0.295). In addition, perceived value and brand attitude play partial mediating roles, and brand attitude demonstrates a stronger direct effect on purchase intention (β = 0.449) than perceived value (β = 0.347). Theoretically, the present study systematically translates AR e-commerce technological attributes into stimulus dimensions within the S-O-R framework, thereby extending its explanatory boundary in virtual-real integrated settings and offering an integrated "technology-scenario-behavior" analytical lens. Practically, the findings provide actionable insights for e-commerce platforms and brand managers seeking to optimize AR-driven experience design and improve conversion outcomes.

Indexed as

CommerceConsumer BehaviorIntentionVirtual RealityAdultFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID42302048
PMCPMC13271489

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.