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Record W2997970768 · doi:10.5430/rwe.v10n5p1

The Influence of Hedonic and Utilitarian Shopping Value Towards Consumer Behavioral Intention Among Youth Mall Shoppers

2019· article· en· W2997970768 on OpenAlexvenueno aff
Norlaile Salleh Hudin, Nur Shafiqa Azrin Khairil Annuar, Ahmad Zainal Abidin Abd Razak

Bibliographic record

VenueResearch in World Economy · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsnot available
FundersUniversiti Pendidikan Sultan Idris
KeywordsShopping mallAdvertisingValue (mathematics)MarketingPsychologyConsumer behaviourBusinessComputer science

Abstract

fetched live from OpenAlex

In the past decade, considerable amount of researches investigated the influence of hedonic and utilitarian shopping values on consumer behavioral intention. Accordingly, this has driven the current study to achieve its objective which is to determine the influence of hedonic and utilitarian shopping values on consumer consumer behavioral intention among youth in Malaysia. Embarking on the quantitative methodology, a survey is conducted among 469 university students who enrolled to a compulsory university course. The results showed that hedonic and utilitarian shopping values had positive influence on the youth consumer behavioral intention. This implies that shopping mall developers should consider hedonic and utilitarian preferences in terms of the design, selection of stores and functionality in creating a shopping mall particularly in serving youth market segment.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.083
GPT teacher head0.329
Teacher spread0.247 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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