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Record W2060348156 · doi:10.1111/1464-0597.00075

The Three‐Component Model of Organisational Commitment: An Application to South Korea

2001· article· en· W2060348156 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

VenueApplied Psychology · 2001
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsWestern University
Fundersnot available
KeywordsContinuanceNormativePsychologyOrganizational commitmentScale (ratio)Internal consistencySocial psychologySet (abstract data type)Consistency (knowledge bases)PsychometricsDevelopmental psychologyComputer sciencePolitical scienceGeographyArtificial intelligence

Abstract

fetched live from OpenAlex

We conducted two studies to determine whether the three‐component model of organisational commitment (Meyer & Allen, 1991) is generalisable to a non‐Western culture using data from South Korea. In Study 1, we found that when the 6‐item versions of the scales (Meyer, Allen, & Smith, 1993) were translated into Korean, the psychometric properties of the Affective Commitment Scale were similar to those found in North America, but problems were identified in the Continuance and Normative Commitment Scales. In Study 2, we found that these problems could be overcome by adopting a revised set of items written in North America. The new scales demonstrated good psychometric properties in terms of factorial validity, internal consistency, and criterion‐related validity with respect to turnover intention. We concluded that the three commitment constructs are likely to generalise to non‐Western cultures, but that there might be a need to refine the measures for cross‐cultural research.

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 score0.801
Threshold uncertainty score0.778

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.030
GPT teacher head0.278
Teacher spread0.248 · 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