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Record W3096400068 · doi:10.5267/j.msl.2020.10.026

To pay or not to pay: Measuring the effect of religiosity in the ABC theory

2020· article· en· W3096400068 on OpenAlexvenueno aff
Abdul Hafaz Ngah, Serge Garbarre, Jagan Jeevan, Nurul Haqimin Mohd Salleh, Rudiah Md Hanafiah

Bibliographic record

VenueManagement Science Letters · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHalal products and consumer behavior
Canadian institutionsnot available
Fundersnot available
KeywordsReligiosityModerationMediationStructural equation modelingNonprobability samplingBusinessMarketingKuala lumpurWillingness to payPsychologySocial psychologyEconomicsStatisticsSociologyMicroeconomicsMathematics

Abstract

fetched live from OpenAlex

This study identifies the role of religiosity in the willingness to pay for halal transportation among Muslim consumers in Malaysia by applying the ABC theory. Applying a purposive sampling method, data were gathered from questionnaires distributed to Muslim consumers at malls in Kuala Lumpur and Putrajaya. From 250 Muslims who were approached, 200 respondents agreed to answer the questionnaire. SMART-PLS 3.3.2. was used to analyse the data for this study using a Structural Equation Modelling (SEM) approach. Out of six direct hypotheses tested, five hypotheses were found supported. From four hypotheses on mediation, only one was found as unsupported. Religiosity was found to have a moderation effect between knowledge and the WTP for halal transportation. The findings provide useful information on the WTP for halal transportation. Related parties such as governments, halal transport service providers and customers can use these findings to plan further actions in order to enhance the WTP for halal transportation. The study reveals the capability of the ABC theory to identify the factors of the WTP for halal transportation among Muslim consumers in Malaysia. The findings also show the moderation effects of religiosity on the WTP for halal transportation. The study also incorporates awareness as a mediator and as a sequential mediator within the model. The findings also enrich the literature on the WTP in halal studies.

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.031
GPT teacher head0.302
Teacher spread0.271 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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