Evidence map›Paper›PMID 40723729›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Can Environmentally-Specific Transformational Leadership Foster Employees' Green Voice Behavior? A Moderated Mediation Model of Psychological Empowerment, Ecological Reflexivity, and Value Congruence.

Nianshu Yang, Jialin Gao, Po-Chien Chang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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

3 authors.

Nianshu YangSchool of Business, Macau University of Science and Technology, Taipa, Macau 999078, China.
Jialin GaoSchool of Business, Macau University of Science and Technology, Taipa, Macau 999078, China.
Po-Chien ChangSchool of Business, Macau University of Science and Technology, Taipa, Macau 999078, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Employees' green voice behavior (GVB), as a specific category of extra-role green behavior, plays a vital role in promoting a firm's sustainable development. However, its underlying mechanism has not been sufficiently explored. Drawing on social learning theory (SLT), this study proposes a research model that examines the indirect influence of environmentally-specific transformational leadership (ESTFL) on GVB via psychological empowerment (PE) and ecological reflexivity (ER) as well as the moderating role of person-supervisor value congruence (PSVC). To achieve the research goals, we conducted a two-wave online survey via the convenience sampling method to collect data from 530 employees and 106 direct supervisors working in the manufacturing, hospitality and service, energy production, construction, transportation, information and communication, and finance industries in China. Regression analyses and CFA based on SPSS and Mplus were employed to test and validate the research model. Our findings show that PE and ER both partially mediated the positive association between ESTFL and GVB. Moreover, PSVC moderated the mediating effects of ESTFL on GVB via PE and ER. This study advances empirical research regarding how leadership impacts GVB by revealing dual cognitive mechanisms and identifying its boundary condition. It also offers managerial implications for leaders and enterprises in China to promote employees' GVB and improve sustainable management.

Indexed as

ecological reflexivityenvironmentally-specific transformational leadershipgreen voice behaviorperson-supervisor value congruencepsychological empowerment

Identifiers

PMID40723729
PMCPMC12292308

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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.