Evidence map›Paper›PMID 37998634›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

How Green Transformational Leadership Affects Employee Individual Green Performance-A Multilevel Moderated Mediation Model.

Haoming Ding, Wei Su, Juhee Hahn

Open access · goldAbstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
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

5 citing papers in PubMed, 23 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Haoming DingThe Graduate School, Hoseo University, Asan 31499, Republic of Korea.
Wei SuThe Graduate School, Chung-Ang University, Seoul 06974, Republic of Korea.
Juhee HahnDepartment of Business Management, Chung-Ang University, Seoul 06974, Republic of Korea.
Chung-Ang University · KRHoseo University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid economic growth puts the natural environment under tremendous pressure. As a traditional chemical company, it is important to reconsider outdated business development models, develop innovative green initiatives for long-term growth, and choose approaches to address environmental issues. Determining how to encourage employees' green performance while balancing environmental issues is crucial for chemical companies in the current social and economic environment. This study investigates the green transformational leadership style to enhance green performance of chemical company employees. It expands the field of environmental protection by employing two novel constructs: creative process engagement and green creativity. We collected 623 valid questionnaires from 98 teams (98 leaders and 525 employees) and used SPSS 26.0, HLM 6.0, and MPlus 8.3 to test the hypothesis. The findings revealed that (1) green transformational leadership positively influences individual green performance, (2) creative process engagement and green creativity mediate the relationship between green transformational leadership and individual green performance, and (3) individual environmental awareness positively moderates the relationship between green transformational leadership and green creativity. These novel findings contribute to the environmental literature and help chemical company managers in enhancing employee innovation and performance.

Indexed as

creative process engagementgreen creativitygreen transformational leadershipindividual environmental awarenessindividual green performance

Identifiers

PMID37998634
PMCPMC10669820
OpenAlexW4388189612

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.