MétaCan
Menu
Back to cohort
Record W2120091927 · doi:10.1177/1094670511424923

A Complementary Resource Bundle as an Antecedent of E-Channel Success in Small Retail Service Providers

2011· article· en· W2120091927 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

VenueJournal of Service Research · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsWestern UniversityOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsBusinessAntecedent (behavioral psychology)MarketingComplementarity (molecular biology)Structural equation modelingService qualityService providerService (business)Channel (broadcasting)Survey data collectionIndustrial organizationComputer sciencePsychologyTelecommunications

Abstract

fetched live from OpenAlex

This study proposes an e-service resource bundle (E-SRB) as an antecedent of electronic service channel (e-channel) success in small retail service providers. The E-SRB indicates a collection of three resources: e-market acuity, e-IT competence, and e-service agility. Given the interdependence of these three resources in delivering quality e-services, the authors hypothesize about their complementarity and its positive effect on performance. The results of this structural equation modeling using survey data show support for the proposed hypotheses, demonstrating that the E-SRB positively influences e-channel performance. The performance impact is not limited to perceived financial performance but extends to self-reported dollar-based sales and profits. These results have theoretical implications when it comes to linking e-service quality to financial performance. They also carry managerial implications for small-scale e-retailing, where limited resources can seriously impede the full use of the e-channel. One of these implications concerns what resources are necessary and how to allocate them in order to improve an e-service system. In the end, this study suggests that managers should understand the interrelationships that might exist among resources that collectively influence performance.

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 score0.103
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.259
GPT teacher head0.359
Teacher spread0.100 · 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