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Record W4311785326 · doi:10.5267/j.ijdns.2022.10.001

Repurchase intention of e-commerce customers in Indonesia: An overview of the effect of e-service quality, e-word of mouth, customer trust, and customer satisfaction mediation

2022· article· en· W4311785326 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Data and Network Science · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessService qualityCustomer satisfactionWord of mouthMarketingCustomer delightMediationCustomer retentionCustomer advocacyNonprobability samplingStructural equation modelingE-commerceService (business)Customer to customerAdvertisingComputer science

Abstract

fetched live from OpenAlex

The rapid development of e-commerce in Indonesia makes the competition in this business increasingly fierce. This study aims to determine and analyze the effect of e-service quality, e-word of mouth (e-WOM), customer trust on customer satisfaction on e-commerce customers in Indonesia, then the study aims to determine and analyze the effect of e-service quality, e-word of mouth (e-WOM), customer trust and customer satisfaction on the repurchase intention of e-commerce customers in Indonesia. The study also aims to determine and analyze the mediating role of customer satisfaction on the relationship between e-service quality, e-word of mouth (e-WOM), and customer trust in repurchase intentions. The research is quantitative by distributing questionnaires to respondents; the sample collection method is purposive sampling. The number of samples used was 344 e-commerce consumers from Shopee, Tokopedia, Lazada, and Bukalapak throughout Indonesia. Data processing is applied by using the SmartPLS 3 Structural Equation Modelling (SEM) method. The results of this study indicate that there was a positive and significant effect of e-service quality on customer satisfaction, there was a positive and significant effect of e-WOM on customer satisfaction, customer trust had a positive and significant impact on customer satisfaction, e-service quality had no significant effect on purchase intention, e-WOM had a positive and significant effect on repurchase intention, customer trust had no significant effect on repurchase intention, e-service quality had a positive and significant effect on repurchase intention through customer satisfaction, e-WOM had a positive and significant effect on repurchase intention through customer satisfaction, customers trust had a positive and significant impact on repurchase intention through customer satisfaction.

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)0.004
metaresearch head score (Gemma)0.000
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 score0.092
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.053
GPT teacher head0.352
Teacher spread0.299 · 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