Evidence map›Paper›PMID 41298707›Full record

ArticleScientific reports2025

An empirical investigation of continuance intention to use online meetings.

Jingxuan Wang, Shan Ren

Abstract read
In one paragraph

Article in Scientific reports, 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.

Jingxuan WangGraduate School of Science and Engineering, Chiba University, Chiba, Japan.
Shan RenSchool of Arts and Design, Liaocheng University, Liaocheng, China. renshan123456@naver.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the mechanisms shaping users' continuance intention toward online meeting platforms. Study 1 used semi-structured interviews with 17 Chinese users, analyzed through grounded theory. Guided by the Cognitive-Affective-Conative framework, Study 2 developed a theoretical model and collected 292 valid online questionnaires via convenience sampling. Covariance-based structural equation modeling (CB-SEM) tested the model. Results show that positive emotions exert the strongest positive effect on continuance intention (β = 0.791***), while negative social presence has a weaker negative effect (β = - 0.164**). Interaction and feedback deficiency (β = 0.58***) and attention distraction (β = 0.292***) significantly increase negative social presence, whereas technical advantages (β = 0.226*) and stress-reducing virtual perception (β = 0.705***) enhance positive emotional experiences. Self-efficacy significantly moderates the relationship between negative social presence and continuance intention. By integrating qualitative exploration with quantitative validation, this study enriches the understanding of continuance intention in online meetings contexts and provides practical insights for optimizing platform design and user retention.

Indexed as

IntentionInternetAdultChinaEmotionsFemaleHumansMaleMiddle AgedSelf EfficacySurveys and QuestionnairesYoung AdultCognitive–affective–conative frameworkContinuance intentionGrounded theoryOnline meetings

Identifiers

PMID41298707
PMCPMC12749684

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.