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Record W3212074819 · doi:10.28932/jmm.v21i1.4073

Pengujian efek kualitas dan risiko keamanan pada intensi pembelian makanan dengan mediasi traceability

2021· article· en· W3212074819 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Manajemen Maranatha · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsTraceabilityQuality (philosophy)BusinessFood qualityFood safetyMarketingPerceptionAdvertisingFood sciencePsychologyComputer science

Abstract

fetched live from OpenAlex

There are several consumer considerations in buying and consuming food such as the quality and safety of the food and traceability of the food itself. This study examines the effect of food quality and perception of food risk on purchase intention. We also examine mediating effect of traceability in the influence of quality and safety on consumer purchase intentions. The survey was conducted online to obtain data consisting of 100 fast food consumers. The research hypothesis testing was carried out using SmartPLS statistical software. The results showed food quality and perception of food risk have significant influence on purchase intention. However, there was no mediating effect of traceability in the influence of food quality and safety on consumer purchase intentions. This research theoretically expands the literature in the field of consumer behavior, particularly related to food marketing. The results of this study can practically be used as a basis for formulating food marketing strategies, especially related to steps that can be used to maintain food quality, safety, and traceability as an effort to increase consumer purchase intentions.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.249
Teacher spread0.229 · 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