Evidence map›Paper›PMID 41394056›Full record

ArticleFrontiers in psychology2025

Organizational culture, trust, and supervisor support: drivers of employee commitment in China.

Xiaoyan Zhang, Youpeng Gao

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

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

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.

Xiaoyan ZhangSchool of Humanities, Shanghai Jiao Tong University, Shanghai, China.
Youpeng GaoSchool of Media & Communication, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study addresses a critical gap by investigating the complex interplay between organizational culture, supervisor support, and organizational trust in fostering affective commitment among employees, particularly within the distinct cultural context of mainland China. Methods: Data were collected from 439 participants through an online survey instrument. Hierarchical regression analysis was used to examine the direct and interactive effects of the independent variables on affective commitment. Results: Hierarchical regression analysis revealed that clan and hierarchy cultures, along with supervisor support and organizational trust, were significant positive predictors of affective commitment. Adhocracy and market cultures did not show significant direct effects. Notably, two significant interaction effects emerged: one between supervisor support and organizational trust, and another between clan culture and organizational trust. Simple slopes analysis indicated that high levels of supervisor support significantly strengthen the positive association between organizational trust and affective commitment, and that a strong clan culture similarly strengthens this relationship. Discussion: These findings underscore the importance of fostering a supportive supervisory environment and building trust within organizations, particularly when supported by collectivist and structured cultural attributes, to enhance employee commitment. Theoretical and practical implications are discussed, highlighting the need for cultivating clan and hierarchy-oriented cultures, strengthening organizational trust, and implementing effective supervisor training programs.

Indexed as

affective commitmentemployee commitmentorganizational cultureorganizational trustsupervisor supportworkplace dynamics

Identifiers

PMID41394056
PMCPMC12695608

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.