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Record W1757989792 · doi:10.1002/bse.1835

Leading by Example: A Model of Organizational Citizenship Behavior for the Environment

2013· article· en· W1757989792 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

VenueBusiness Strategy and the Environment · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsOrganizational citizenship behaviorBusinessStructural equation modelingCitizenshipControl (management)MarketingKnowledge managementPublic relationsIndustrial organizationEconomicsManagementPolitical scienceComputer scienceOrganizational commitment

Abstract

fetched live from OpenAlex

Abstract Organizational citizenship behaviors for the environment (OCBEs), which are based on individual, voluntary and informal initiatives, are increasingly considered as an essential ingredient of corporate greening. Drawing on the emerging literature on this issue, this paper explores the determinants and consequences of managers' OCBEs. A study of 304 managers from the manufacturing sector allowed us to validate a new model of managers' OCBEs based on structural equation modeling. The model shows the role of environmental values and perceived behavioral control (PBC) in the adoption of OCBEs. As expected, the model also shows positive and significant relationships between OCBEs, environmental management practices and performance in this area. The study sheds new light on the impacts of OCBEs and explores the reasons why they can be used to lead by example and to improve environmental performance. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.887

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.197
Teacher spread0.176 · 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