Evidence map›Paper›PMID 40839667›Full record

ArticlePloS one2025

Research on the impact path of virtual streamers characteristics on agricultural product consumers' purchase intention.

Lin Jiang, Min Li

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. 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

2 authors.

Lin JiangSchool of International Economics and Trade, Fujian Business University, Fuzhou, FuJian, China.ORCID https://orcid.org/0009-0004-6559-0061
Min LiSchool of International Economics and Trade, Fujian Business University, Fuzhou, FuJian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Live-streaming e-commerce for agricultural product has become a new exploration in rural revitalization and digital commerce in China, with AI-driven virtual streamers emerging as a new trend in this field. Focusing on the context of virtual streamers marketing, this study constructs a relationship model between virtual streamers characteristics and consumers' purchase intention for agricultural products, using human-machine trust as a moderating variable and communication presence and emotional presence as mediating variables. The results show that the affinity, anthropomorphism, professionalism, and responsiveness of virtual streamers can positively influence consumers' purchase intention for agricultural products through the mediating effects of communication presence and emotional presence.Both communication presence and emotional presence positively affect consumers' purchase intention. Additionally, human-machine trust plays a significant moderating role in the relationship between virtual streamers characteristics and social presence. This study provides insights for the development of virtual streamers in the agricultural industry and offers practical and effective pathways to enhance the quality and efficiency of live-streaming e-commerce for agricultural products.

Indexed as

AgricultureConsumer BehaviorIntentionAdultChinaCommerceFemaleHumansMaleMarketingMiddle AgedSurveys and QuestionnairesTrustYoung Adult

Identifiers

PMID40839667
PMCPMC12370045

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.