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Record W2959761428 · doi:10.5430/rwe.v10n2p10

Authorities Perspectives Towards the Implementation of Shariah-Compliant Hotel in Malaysia

2019· article· en· W2959761428 on OpenAlexvenueno aff
Azizah Musa, Suhaila Abdul Kadir, Mazne Ibrahim, Norzaliha Jusoh, Siti Nurzahira Che Tahrim, Noormariana Mohd Din

Bibliographic record

VenueResearch in World Economy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHalal products and consumer behavior
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessIslamMarketingAccountingGeography

Abstract

fetched live from OpenAlex

Islamic products and services have high contribution to the economy recently. This contribution has inspired Malaysia to set its mission to become a global halal hub. Halal hub generally relies on the level of awareness among Muslim particularly the authority in understanding the main concept of Shariah-compliant products and services. This paper will principally discuss on Shariah-compliant hotel industry by elaborating the important criteria from the perspectives of the authority in achieving the Shariah-Compliant hotel status in Malaysia. Focusing on qualitative method, this study used in-depth and open-ended interviews with the authorities namely JAKIM and JAHEAIK. Interviews were recorded, transcribed and analyzed. It is found that JAKIM and JAHEAIK stated very limited criteria to specify a Shariah-compliant hotel. However, through interviews, JAKIM and JAHEAIK have provided some insights on how to fully achieve the Shariah-compliant attributes. This paper is important as it can significantly provide much needed feedback from the authority perspectives for the use of interested industry players.

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)0.005
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 score0.015
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.144
GPT teacher head0.451
Teacher spread0.308 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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