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Record W2522582135 · doi:10.5539/ijms.v8n5p56

Determinants Impacting Consumers’ Purchase Intention: The Case of Fast Food in Vietnam

2016· article· en· W2522582135 on OpenAlexvenueno aff
The Anh Phan, Phuong Ly Hoang

Bibliographic record

VenueInternational Journal of Marketing Studies · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseMarketingConsumption (sociology)Scale (ratio)Value (mathematics)BusinessSet (abstract data type)PsychologyFood safetyFood choiceFood consumptionConsciousnessAdvertisingEconomicsAgricultural economicsMedicineGeographyStatisticsComputer scienceSociologyMathematics

Abstract

fetched live from OpenAlex

<p>The purpose of this case study is to explore and study the determinants impacting Vietnamese students’ food choice and the pattern of consumption of fast food in university students. The objective set for this research was conduct with the following objectives respectively getting an insight of fast food market in Vietnam and explore the attributes that Vietnamese students in perceive to be important in the selection of fast food restaurants and the study results provide a better understanding about the industry and consumer food choice variables The model and the design of the questionnaire content in this study was based on the measures of previous related research and literatures and several constructs were measured by single item scale, E-S-QUAL scale (Parasuraman et al., 2005) that has been developed and used in the present study has been shown to be a valid instrument for the measurement with four main factors (Health Consciousness, Value Perceived, Food Safety and Price) toward with Purchase Intention. In this regard, other questions were also applied in the survey to get an insight about demographic information and consumption habits of students in this research. Moreover, we found significant positive relationship between the purchase intentions and food safety, subsequently price and value perceived with similar positive relationships. Hence we can say that managers have to keep these factors in mind to perform better.<strong> </strong></p>

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)0.002
metaresearch head score (Gemma)0.003
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 score0.637
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.047
GPT teacher head0.326
Teacher spread0.279 · 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

Citations27
Published2016
Admission routes1
Has abstractyes

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