MétaCan
Menu
Back to cohort
Record W2118096593 · doi:10.5539/ibr.v7n1p94

The Mediating Effect of Quality and Prestige on the Relationship between Brand Globalness and Purchase Likelihood of HTC Mobile Phone

2013· article· en· W2118096593 on OpenAlexvenueno aff
Massoud Moslehpour, Van Kien Pham, Selman Yumnu

Bibliographic record

VenueInternational Business Research · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsPrestigeStructural equation modelingMobile phoneBusinessAdvertisingQuality (philosophy)PsychologyMarketingTelecommunicationsStatisticsComputer scienceMathematics

Abstract

fetched live from OpenAlex

Perceived brand quality (PBQ) and perceived brand prestige (PBP) have been considered very important mechanisms to predict the direct as well as indirect relationship between perceived brand globalness (PBG) and consumer purchase likelihood (CPL) in many studies. However, almost all studies focused on direct influence of PBQ and PBP on CPL, neglecting the mediating role of them. This study, therefore, aims at filling this research gap by investigating the mediating effects of PBQ and PBP on the relationship between the PBG and CPL in the mobile industry applied to the HTC Company. In doing so, this study used the structural equation modeling (SEM) approach to analyze a total sample of 439 college student consumers in central Taiwan. Results indicated that PBG and BPQ have positive effects on CPL while PBP did not. These findings are different from the literature that both PBQ and BBP showed significant influences on CPL. In other words, when it comes to HTC mobile phone, only PBQ could be considered as a mediating variable through which PBG indirectly affects CPL. Generally, this study opens the doors to new empirical studies in the mobile phone industry whereby readers and practitioners would understand the importance of mediator role in consumer purchase intention.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.068
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.113
GPT teacher head0.390
Teacher spread0.277 · 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

Citations21
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueInternational Business ResearchSame topicConsumer Behavior in Brand Consumption and IdentificationFrench-language works237,207