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Record W2183925494 · doi:10.5539/ijms.v7n6p72

Utilitarian and Hedonic Values Affect Brand Switching: Consumer Satisfaction as Moderator

2015· article· en· W2183925494 on OpenAlexvenueno aff
Kokku Randheer

Bibliographic record

VenueInternational Journal of Marketing Studies · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
FundersDeanship of Scientific Research, King Saud University
KeywordsModerationMarketingAffect (linguistics)Variance (accounting)Confirmatory factor analysisAdvertisingPsychologyBusinessCustomer satisfactionSocial psychology

Abstract

fetched live from OpenAlex

This study tested the existence of positive relationship between utilitarian values, hedonic values and consumer satisfaction. Further it also tested the significance of utilitarian and hedonic values influenced by consumer satisfaction affecting brand switching. Four independent products and brands were selected for data collection. Confirmatory factor analysis validated two dimensions along with factors via utilitarian values which include savings, convenience, affordability and multiple benefits. Hedonic values included freedom, self-expression, entertainment and exploration. Regression analysis revealed the existence of relationship between dependant and independent variables with variance obtained by these two dimensions and factors to be on higher side. Hypothesis proved a positive effect of both utilitarian and hedonic values on customer satisfaction. Customer satisfaction created by utilitarian and hedonic values has significant effect on brand switching. Managerial implications include suggestions on product pricing, variety, availability, upgrading consumer knowledge and consumer personal image.

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)0.004
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 score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.063
GPT teacher head0.336
Teacher spread0.273 · 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
Published2015
Admission routes1
Has abstractyes

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