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Record W2939865381 · doi:10.1177/1086026619837125

The Measurement of Green Workplace Behaviors: A Systematic Review

2019· review· en· W2939865381 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

VenueOrganization & Environment · 2019
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsComparabilityPsychologySystematic reviewApplied psychologySocial psychologyMEDLINEPolitical scienceMathematics

Abstract

fetched live from OpenAlex

The literature on the green behaviors adopted by individuals in workplace settings has grown significantly over the past decade. Many studies have examined the factors associated with individual actions. However, the comparability of the studies conducted on the subject is a common concern, mainly because of the wide range of measurement tools based on different sets of items used in such research. Therefore, the aim of this study is to determine the degree of methodological maturity of green workplace behaviors based on a systematic review of research published on the subject between 1977 and 2016. Five major trends were identified from the 53 papers reviewed as part of this research: (a) the predominance of scales for measuring “green office” behaviors, (b) the redundancy of certain items, (c) the limited efforts devoted to measuring counterproductive green behaviors, (d) the emergence of new subcategories of proenvironmental behaviors, and (e) and the abundance of scales measuring voluntary green behaviors (extra-role). Through an analysis of existing measurement tools, this article proposes a decision tree designed to help scholars choose appropriate items for their studies. This may, in turn, contribute to the literature on green workplace behaviors by reducing bias and limiting the unnecessary creation of new measurement scales.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.745
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.023
GPT teacher head0.230
Teacher spread0.207 · 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