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Record W2990904391 · doi:10.5430/ijba.v10n6p32

Effects of Online Bookstores’ Perceived Quality on Consumer Loyalty: Consumer Satisfaction as a Mediator (Note 1)

2019· article· en· W2990904391 on OpenAlexvenueno aff
Feixiang Zhang, Yang Yang

Bibliographic record

VenueInternational Journal of Business Administration · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsLoyaltyPurchasingAdvertisingQuality (philosophy)BusinessMarketingPsychologyConsumer satisfactionLoyalty business modelService quality

Abstract

fetched live from OpenAlex

The paper adopts SPSS19.0 and AMOS20 to conduct an empirical study on the effects of e online bookstore perceived quality on consumer loyalty and the mediated effect of consumer satisfaction on the relationship, based on a 217 questionnaire data. The results show that online bookstore perceived quality does not have a significant positive effect on consumer loyalty; online bookstore perceived quality has a significant positive effect on online purchasing consumer satisfaction; online shopping consumer satisfaction has a significant positive effect on consumer loyalty; consumer satisfaction has a total mediating effect on the relationship between online bookstore perceived quality and customer loyalty and online bookstore perceived quality has a significant positive effect on consumer loyalty through consumer satisfaction. In order to fully play the mediating role of consumer satisfaction to improve the online bookstore consumer loyalty, the article puts forward related suggestions. The future research should expand the sample range and consider roles of other factors on the relationship.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.204
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.052
GPT teacher head0.412
Teacher spread0.360 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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