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Record W3193338725 · doi:10.1002/csr.2194

Green certification and organizational attractiveness: The moderating role of firm ownership

2021· article· en· W3193338725 on OpenAlexaff
Chloé Guillot‐Soulez, Sylvie St‐Onge, Sébastien Soulez

Bibliographic record

VenueCorporate Social Responsibility and Environmental Management · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsCenter for Interuniversity Research and Analysis on OrganizationsHEC Montréal
Fundersnot available
KeywordsAttractivenessPrestigeCertificationBusinessEconomic shortageMarketingPerceptionEconomicsPsychologyManagementGovernment (linguistics)

Abstract

fetched live from OpenAlex

Abstract At a time of critical talent shortages and environmental challenges, it is necessary to increase understanding of how green employer certification (GEC), as an ethical market signal, affects job seekers' perceptions. This study examines whether the relationship between GEC in recruitment advertisements and organizational attractiveness is mediated by firms' perceived prestige and person‐organization (PO) fit and if it varies according to firm ownership (i.e., investor‐owned vs. member‐owned). Results from a controlled online experiment firstly show that the communication of GEC has an indirect positive influence on organizational attractiveness via the mediating effects of perceived prestige and perceived PO fit. Secondly, depending upon firm ownership, people interpret the same certification differently: the communication of GEC thus has an indirect influence on organizational attractiveness and significantly improves firms' perceived prestige and PO fit among member‐owned firms but not among investor‐owned firms. Hence, practitioners should consider the value of including environmental certification in their recruitment advertising strategy while considering the issue of firm ownership.

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.

How this classification was reachedexpand

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.025
GPT teacher head0.211
Teacher spread0.186 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations45
Published2021
Admission routes1
Has abstractyes

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