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Record W2911942319 · doi:10.5539/mas.v13n2p216

The Relationship Between Perceived Human Resource Management Practices and Turnover-Intention: The Mediating Role of Organizational Attractiveness

2019· article· en· W2911942319 on OpenAlexvenueno aff
Ahmad Obeidat

Bibliographic record

VenueModern Applied Science · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployer Branding and e-HRM
Canadian institutionsnot available
Fundersnot available
KeywordsAttractivenessTurnover intentionPerceptionSocial exchange theoryHuman resource managementPsychologySocial psychologyPerceived organizational supportLine managementOrganizational commitmentBusinessKnowledge managementPublic relationsPolitical science

Abstract

fetched live from OpenAlex

This study examines whether employees’ attraction to the organisation mediates the relationship between their perceptions of human resource management (HRM) practices (as a bundle) and their turnover intentions. Hypotheses were developed based on the propositions of social exchange theory, findings of previous research and theory of reasoned action. Survey data were collected from 297 individuals who work in organisations operating in the Hashemite Kingdom of Jordan. Subsequently, the proposed relations were tested. It was found that: 1) perceived HRM practices is negatively and significantly related to turnover-intention; 2) perceived HRM practices is positively and significantly related to organisational attractiveness; and 3) organisational attractiveness is negatively and significantly related to turnover intention and partially mediates the negative relationship between perceived HRM practices and turnover intention. The implications of these findings for line managers and HR practitioners are also discussed in addition to future research directions.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.035
GPT teacher head0.264
Teacher spread0.229 · 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.

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

Citations11
Published2019
Admission routes1
Has abstractyes

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