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Record W3129494176 · doi:10.5267/j.msl.2021.2.007

The effect of high-performance work systems according to AMO model on HRM performance outcomes: An analytical study on the banking sector

2021· article· en· W3129494176 on OpenAlexvenueno aff
Fatimah Mahdy, Asia Yagoub Alhadi

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
FundersKing Khalid University
KeywordsHuman resource managementWork (physics)Work systemsHuman resourcesBusinessKnowledge managementHuman resource management systemSample (material)Resource management (computing)Resource (disambiguation)Operations managementManagementComputer scienceEngineeringEconomics

Abstract

fetched live from OpenAlex

This research paper aims to study the impact of high-performance work systems (HPWS) according to the AMO includes three human resource management practices which are (Ability-enhancing human resource management practices, motivation-enhancing human resource management practices, and opportunities -enhancing human resource management practices). The authors select a random sample of 400 individuals from 10 banks in Saudi Arabia, Egypt, Sudan to prove the validity of the hypotheses; The study found a set of results and one of them indicate that there is a significant positive relationship among high-performance work systems according to the AMO model on the results of human resource 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.

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)0.002
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 score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.021
GPT teacher head0.243
Teacher spread0.223 · 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

Citations10
Published2021
Admission routes1
Has abstractyes

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