Evidence map›Paper›PMID 42063135›Full record

ArticleBMC psychology2026

Factors influencing residents' continued use intention of smart community platforms: an integrated theoretical perspective.

Juan Wang, Xianghui Kong, Xiaojing Zhang

Abstract read
In one paragraph

Article in BMC psychology, 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

3 authors.

Juan WangSchool of Management Science and Engineering, Shandong Technology and Business University, Yantai, 264003, China. wangjuan@sdtbu.edu.cn.
Xianghui KongSchool of Management Science and Engineering, Shandong Technology and Business University, Yantai, 264003, China.
Xiaojing ZhangSchool of Management Science and Engineering, Shandong Technology and Business University, Yantai, 264003, China.

Funding

Research on the Construction of Dynamic User Portraits of Smart Communities and Precision Services Driven by Multi-source Emergency Information 22YJCZH170
6 · The paper itself

Abstract

As smart community platforms (SCPs) become integral to digital governance, understanding the factors influencing user persistence is increasingly important. This study develops an integrated framework by synthesizing the Unified Theory of Acceptance and Use of Technology (UTAUT) and Innovation Diffusion Theory (IDT). Data from 515 valid questionnaires collected in China were analyzed using a dual-stage PLS-SEM and Artificial Neural Network (ANN) approach. The results indicate that while Performance Expectancy and Relative Advantage form the cognitive basis of utility, Satisfaction serves as the pivotal affective driver for continued use. Notably, the ANN analysis reveals a non-linear importance hierarchy, identifying Social Influence as a more potent factor than traditional linear estimates suggest. This study contributes to the literature by moving beyond simple linear assumptions to provide a deeper understanding of user retention, offering practical strategies for the long-term sustainability of smart community engagement.

Indexed as

Diffusion of InnovationIntentionChinaHumansNeural Networks, ComputerContinued use intentionIDTSmart community platformsTrustUTAUT

Identifiers

PMID42063135
PMCPMC13330266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.