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Record W2767619340 · doi:10.1177/1548051817738940

Uncovering How and When Environmental Leadership Affects Employees’ Voluntary Pro-environmental Behavior

2017· article· en· W2767619340 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Leadership & Organizational Studies · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversity of SaskatchewanWestern University
Fundersnot available
KeywordsTransformational leadershipAntecedent (behavioral psychology)TurnoverSustainabilityBusinessLocus of controlPsychologyPublic relationsMarketingSocial psychologyManagementPolitical scienceEcologyEconomics

Abstract

fetched live from OpenAlex

Environmental sustainability at the firm level is largely shaped by and dependent on individual-level pro-environmental behavior. Accordingly, investigating the antecedents of employees’ environmentally friendly behavior has become the focus of much scholarly inquiry. Research in this area has identified environmentally specific transformational leadership as an important antecedent. Little is known, however, about the mechanisms through which this type of leadership affects employees’ voluntary pro-environmental behavior, and the conditions under which any such effects are enhanced or attenuated. The present research sought to fill this gap. Data from 125 employee dyads revealed that environmentally specific transformational leadership directly and indirectly affects employees’ voluntary pro-environmental behavior, and the indirect effect is only present for employees who are moderate, high, and very high in environmental locus of control. Theoretical and practical implications are discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.245
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it