Evidence map›Paper›PMID 41743437›Full record

ArticleFrontiers in psychology2026

Green transformational leadership and employees' green behavior: a cross-level moderated mediation study.

Jianwei Cao, Haoxiang Sun, Xulei Cao, Haoran Ma

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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

4 authors.

Jianwei CaoSchool of Business, North Minzu University, Yinchuan, China.
Haoxiang SunSchool of Business, North Minzu University, Yinchuan, China.
Xulei CaoSchool of Business, North Minzu University, Yinchuan, China.
Haoran MaSchool of Business, North Minzu University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Employees' green behavior directly contributes to corporate environmental sustainability and generates positive spillover effects on society that support broader green transformation. As a leadership style that encourages employees' pro-environmental actions, green transformational leadership has attracted growing scholarly attention. However, the mechanisms through which green transformational leadership shapes employees' green behavior remain underexplored. Drawing on social learning theory and affective events theory, this study developed a cross-level theoretical model linking green transformational leadership and employees' green behavior. Using Mplus, multilevel analyzes on matched data from 325 employees nested within 53 teams were conducted. The results indicated that (1) green transformational leadership was positively related to employees' green behavior; (2) employees' environmental passion mediated the relationship between green transformational leadership and employees' green behavior; (3) pro-environmental organizational climate negatively moderated the mediating effect of employees' environmental passion on the relationship between green transformational leadership and employees' green behavior, such that the indirect effect is weaker when the organizational climate is more strongly pro-environmental. These findings enhance understanding of the mechanisms through which green transformational leadership shapes employees' green behavior and offer practical implications for leveraging leadership to promote pro-environmental actions in organizations.

Indexed as

cross-levelemployees’ environmental passionemployees’ green behaviorgreen transformational leadershippro-environmental organizational climate

Identifiers

PMID41743437
PMCPMC12929164

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.