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Record W4388297733 · doi:10.5267/j.uscm.2023.10.016

The food safety behavior of Jordanian restaurant managers and supervisors: A social cognitive theory-based perspective

2023· article· en· W4388297733 on OpenAlexvenueno aff
Amany Khalaf Haddad, Abdul Hafaz Ngah

Bibliographic record

VenueUncertain Supply Chain Management · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
Fundersnot available
KeywordsSocial cognitive theoryNonprobability samplingContext (archaeology)ModerationStructural equation modelingPsychologyPerspective (graphical)CognitionApplied psychologyEnvironmental healthMarketingBusinessSocial psychologyMedicineGeographyStatisticsPsychiatryMathematicsPopulation

Abstract

fetched live from OpenAlex

As foodborne diseases are current major health issues worldwide, food safety is a global health target. The present work has used social cognitive theory as theoretical support for examining the social and cognitive factors [outcome expectations (OE), self-regulation (SR), environmental determinants (ED), and self-efficacy (SE)] of Jordanian restaurant managers’ and supervisors’ food safety behavior (FSB). The moderator was willingness to comply (WC). Data were collected from the participants via Google Forms using purposive sampling methods. A total of 500 questionnaires were distributed, where 250 questionnaires were sent each to the Jordanian Restaurant Association (JRA, representing international and chain food restaurants in Jordan) as well as the Jordanian Union of Restaurants and Confectionary Proprietors (URCP, representing the local Jordanian restaurants). Two hundred and ninety-six completed questionnaires were returned. The hypotheses were analysed with smart partial least squares by structural equation modelling. The analysis determined that OE, SR, ED, and SE had positive impacts on FSB, while WC played a role in moderating the interlinkage among SE, OE, and FSB. To sum up, the current study as a whole also has significant theoretical and practical contributions for the practitioners in the given 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.634

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 communication0.0000.000
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 head0.021
GPT teacher head0.244
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.

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
Published2023
Admission routes1
Has abstractyes

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