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Record W4285168428 · doi:10.2991/aebmr.k.220501.030

The Effect of Consumer Engagement as a Mediation Variable on Brand Experience and Brand Loyalty on E-Commerce in Covid-19 Pandemic

2022· article· en· W4285168428 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in economics, business and management research/Advances in Economics, Business and Management Research · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMediationCoronavirus disease 2019 (COVID-19)PandemicBrand loyaltyBusinessAdvertisingBrand managementLoyaltyMarketingSociologyMedicine

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the effect of brand experience on customer engagement, the effect of customer engagement on brand loyalty, the effect of brand experience on brand loyalty, and the effect of brand experience on brand loyalty through customer engagement. The population of this research are people that using e-commerce. Judgmental sampling is used in this research by distributing online questionnaires and the collected data are processed with smartPLS-SEM. The results of this study are brand experience can positively affect customer engagement, customer engagement can positively affect brand loyalty, brand experience can positively affect brand loyalty and customer engagement can mediate the relationship between brand experience and brand loyalty.

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.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.749
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.003
Research integrity0.0000.001
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 head0.040
GPT teacher head0.356
Teacher spread0.316 · 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