Evidence map›Paper›PMID 40715591›Full record

ArticleScientific reports2025

Factors influencing customers' switching intentions to new energy vehicles based on the push-pull mooring model using SEM-ANN approach in Shanxi, China.

Zhang Juanjuan, Ratneswary Rasiah

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

2 authors.

Zhang JuanjuanGraduate School of Business University, SEGi University of Malaysia, No 9, Jalan Teknologi, Taman Sains Selangor, Kota Damansara PJU 5, Petaling Jaya, 47810, Selangor Darul Ehsan, Malaysia. 654864654@qq.com.
Ratneswary RasiahGraduate School of Business University, SEGi University of Malaysia, No 9, Jalan Teknologi, Taman Sains Selangor, Kota Damansara PJU 5, Petaling Jaya, 47810, Selangor Darul Ehsan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study applied the Push-Pull Mooring (PPM) theoretical framework to investigate how push, pull, and mooring factors influence sustainable transportation choices. The main objective is to explore which push, pull, and mooring factors significantly influence the intention to switch from conventional vehicles to NEVs. The study utilized the SEM-ANN approach based on a dataset of 822 participants collected in Shanxi, China. Results show that environmental concern and dissatisfaction with traditional vehicles (push factors), along with perceived convenience, subjective norms, and alternative attractiveness of NEVs (pull factors), positively influence switching intentions. Conversely, switching costs and habit (mooring factors) negatively impact the switching intention. Inertia was found to negatively moderate the relationship between environmental concern, subjective norms, and switching intention. Thus, these findings provide valuable insights for Shanxi's transition to low-carbon transportation.

Indexed as

New energy vehiclesPush–Pull–MooringShanxiSwitching intention

Identifiers

PMID40715591
PMCPMC12297582

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LicenceCC BY-NC-ND
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Registered trials

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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.