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Record W4417001209 · doi:10.54692/amr.2024.114

Customer Trust and Perceived Knowledge leads to Purchase Intention Through the Lens of Attitude Towards Brand

2024· article· W4417001209 on OpenAlexaff

Bibliographic record

VenueAnnals of Management Review · 2024
Typearticle
Language
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsCanadian Institute for International Peace and Security
Fundersnot available
KeywordsMediationRelation (database)Customer knowledgePositive attitudeThrough-the-lens meteringPositive relationshipQuality (philosophy)

Abstract

fetched live from OpenAlex

The purpose of current study is to examine the mediating role of attitude towards brand for relationship of customer trust and perceived knowledge with purchase intention. In this regards, current study proposes three hypotheses of direct relationship, two hypotheses of mediation effects. Current research used the convenience sampling technique from 220 customers of branded cars. Results elucidates that perceived knowledge is better predictor of attitude towards brand as compare to customer trust. Hence, automobile companies deliver the apprise and operative knowledge to the customers that ultimately result in attitude towards brand. Likewise, attitude towards brand act as mediating variable for relation of customer trust and perceived knowledge with purchase intention. Results shows that all three hypotheses of direct relation are acknowledged. Results also indicates that two hypotheses of mediation are also accepted.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.090
GPT teacher head0.366
Teacher spread0.276 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2024
Admission routes1
Has abstractyes

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