MétaCan
Menu
Back to cohort
Record W2118335484 · doi:10.1108/08876040310501241

Services quality dimensions of Internet retailing: an exploratory analysis

2003· article· en· W2118335484 on OpenAlex
Zhilin Yang, Robin T. Peterson, Shaohan Cai

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

VenueJournal of Services Marketing · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsLakehead University
Fundersnot available
KeywordsCredibilityMarketingBusinessService qualityThe InternetQuality (philosophy)Competence (human resources)Dimension (graph theory)Context (archaeology)Service (business)Source credibilityRealmAdvertisingPsychologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The purpose of this article is to extend what is know about service quality in realm of the context of Internet retailing. As a result of content analyzing 1,078 consumer anecdotes of online shopping experiences, 14 service quality dimensions representing 42 items were identified. The unique contents of each service quality dimension relate to Internet commerce are examined and discussed. Further, the analysis uncovered a number of contributors to consumer satisfaction and dissatisfaction. The most frequently‐mentioned service attributes resulting in consumer satisfaction were responsiveness, credibility, ease of use, reliability, and convenience. On the other hand, different dimensions including responsiveness, reliability, ease of use, credibility, and competence, were likely to dissatisfy online consumers. Finally, this paper provides various managerial implications and recommendations which may suggest avenues for improving service quality in Internet retailing and, as a corollary, expanding experiences by consumers.

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)0.009
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 score0.268
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.000
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 head0.030
GPT teacher head0.279
Teacher spread0.249 · 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