MétaCan
Menu
Back to cohort
Record W1584697157 · doi:10.1108/17506141211236785

Cultural differences and applicants' procedural fairness perceptions

2012· article· en· W1584697157 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

VenueChinese Management Studies · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployer Branding and e-HRM
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychologyModerationProcedural justiceSocial psychologyPerceptionOriginalityMainland ChinaChina

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine Chinese traditionality as a predictor of applicants' procedural fairness perceptions in selection, and both its direct and indirect relationship with applicants' recommending behavior, job performance and turnover intention three to four months post hire. Traditionality, as a moderator of perceptions‐outcomes relationships, is also tested. Design/methodology/approach Survey data of 218 supervisor‐subordinate dyads were collected from Mainland Chinese organizations. Data were gathered in two waves, with demographic and traditionality measures taken at time 1, and supervisory ratings of performance, recommending behavior and intention to turnover taken at time 2. Findings One component of traditionality alone (Respect for Authority) positively predicted applicants' procedural fairness perceptions. These perceptions, in turn, predicted recommending behavior (+), job performance (+) and turnover intentions (−). There were also direct relationships between Respect for Authority and both job performance (+) and turnover intention (−). The data failed to support the moderating effect of Chinese traditionality on the relationships between procedural fairness perceptions and outcome variables. Research limitations/implications Despite the methodological strengths of this study, the study is cross‐sectional in nature which weakens causal inferences regarding the relationships in the theoretical model. Moreover, the paper does not investigate empirically the concrete mechanisms from Chinese traditionality to fairness perceptions and from fairness perceptions to outcome variables, since its foci are the predicting and moderating roles of Chinese traditionality. Originality/value The paper's findings underscore the importance of Respect for Authority as the key and only component of Chinese traditionality that predicts procedural justice perceptions and worker outcomes.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.728

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 studies0.0010.000
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 head0.037
GPT teacher head0.293
Teacher spread0.256 · 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