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Record W4307853844 · doi:10.1177/14705958221136691

Islamic values and human resources management: A qualitative study of grocery stores in the Quebec province

2022· article· en· W4307853844 on OpenAlexaffabout
Said Toumi, Zhan Su

Bibliographic record

VenueInternational Journal of Cross Cultural Management · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsIslamHuman resource managementContext (archaeology)Human resourcesQualitative researchBusinessMarketingSociologyPublic relationsSocial sciencePolitical scienceManagementGeographyEconomics

Abstract

fetched live from OpenAlex

Over the last two decades, the study of the effect of Islamic values on management has been of interest to researchers. However, the study of the impact of these values on human resources management remains limited. The objective of this article is to shed light on the human resource management practices of Muslim immigrants settled in Quebec City. To achieve this objective, we conducted a qualitative study of the impact of the Muslim religion on human resources management in grocery stores located in the national capital. The results show that the values of the Muslim religion influence the behavior of grocery store owners, which in turn influences human resource management practices. This research contributes to the development of cross-cultural management research by showing how Islamic values influence human resource management practices in a different cultural context.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0170.008
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.089
GPT teacher head0.477
Teacher spread0.388 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations21
Published2022
Admission routes2
Has abstractyes

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