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Record W2162301994 · doi:10.5539/ijms.v4n2p93

An Analysis of Impact of Brand Credibility and Perceived Quality on Consumers' Evaluations of Brand Alliance

2012· article· en· W2162301994 on OpenAlexvenueno aff
Seyed Fathollah Amiri Aghdaie, Hossein Rezaei Dolatabadi, Vahid Shokri Aliabadi

Bibliographic record

VenueInternational Journal of Marketing Studies · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsCredibilityProduct (mathematics)Quality (philosophy)AdvertisingMarketingAffect (linguistics)BusinessBrand awarenessSource credibilityPerceived qualityBrand equityPsychologyMathematics

Abstract

fetched live from OpenAlex

The purpose of this study is to analyse the effects of brand credibility and perceived quality on consumers' evaluation of brand alliance. This goal has been followed by examining the impact of constituent brands credibility on co-brand overall credibility, effect of perceived quality of the constituent brands on co-branded product perceived quality and constituent brands credibility and perceived quality on perceived price and purchase intention of cobranded product as the hypotheses of the study. This study can be considered as an applied research from purpose perspective and descriptive-survey with regards to the nature and method (type of correlation). Respondents to the questionnaire were shoppers at one of branches of Refah chain stores in Isfahan city which randomly selected. The study indentified that credibility of constituent brands (i.e., brand A and brand B the allied brands) positively affect co-brand credibility, cobranded product perceived price and purchase intention. Results also show that perceived quality of constituent brands affect cobranded product perceived quality and perceived price. Furthermore, only perceived quality of one of constituent brands (brand B) has positive influence on cobranded product purchase intention whereas the perceived quality of the other brand (brand B) has no effect.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.027
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
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 head0.098
GPT teacher head0.445
Teacher spread0.347 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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