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Record W2136647042 · doi:10.1177/0022022112443415

Moderation Effects of Power Distance on the Relationship Between Types of Empowerment and Employee Satisfaction

2012· article· en· W2136647042 on OpenAlexaboutno aff
Henry Fock, Michael K. Hui, Kevin Au, Michael Harris Bond

Bibliographic record

VenueJournal of Cross-Cultural Psychology · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsEmpowermentModerationPower (physics)DiscretionPsychologySocial psychologyChinaCompetence (human resources)Hofstede's cultural dimensions theoryPolitical science

Abstract

fetched live from OpenAlex

Previous research concludes that empowerment is ineffective with employees from societies high in power distance. The present study examines this conclusion across three types of empowerment: discretion empowerment, psychological empowerment, and leadership empowerment (or empowerment leadership behaviors). To assess the effects of power distance on these three types of empowerment, employee surveys were conducted in Canada (a society low in power distance) and in China (a society high in power distance). Results showed that the effect of discretion empowerment on employee satisfaction was less pronounced in China, just as previous literature had concluded about the dynamics of societies high in power distance. However, the effect of the leadership empowerment on employee satisfaction via the competence facet of psychological empowerment was found to be more pronounced in Canada, a society lower in power distance. These conclusions at the cultural level were also confirmed at the psychological level. We thus advocate that empowerment remains an advantageous strategy to organizations in both societies and individuals high and low in power distance, depending on the type of empowerment involved.

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)0.000
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 score0.016
Threshold uncertainty score0.211

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)0.0000.000

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 head0.038
GPT teacher head0.356
Teacher spread0.318 · 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

Citations89
Published2012
Admission routes1
Has abstractyes

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