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Record W1996493441 · doi:10.1108/jmd-12-2010-0091

Organisational justice climate, social capital and firm performance

2013· article· en· W1996493441 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 Management Development · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsOrganizational justiceSocial capitalDistributive justiceProcedural justiceInteractional justiceOriginalityOrganisation climateOrganizational performanceSociologyOrganizational commitmentEconomic JusticeBusinessEconomicsSocial psychologyPsychologyMicroeconomicsMarketingSocial scienceQualitative researchPerception

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to develop a conceptual framework in order to understand the impact of organizational justice climate on firm performance. Design/methodology/approach This paper reviews the literature on organizational justice and social capital and theorizes their relationship with firm performance. The underlying argument of this paper is that a climate of organizational justice influences firm performance indirectly through its influence on social capital. Findings The paper suggests ways through which different types of justice climate – distributive, procedural, interactional – are related to different dimensions of social capital. This paper also extends the findings of organizational justice research from an individual level to organizational level by proposing an indirect relationship with firm performance. Originality/value This paper is unique, as no research to date has proposed a conceptual framework integrating organizational justice climate, social capital and firm performance.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.206
Teacher spread0.195 · 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