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Record W3196572624 · doi:10.5267/j.ijdns.2021.7.001

Mediator-moderator, innovation of mobile CRM, e-service convenience, online perceived behav-ioral control and reuse online shopping intention

2021· article· en· W3196572624 on OpenAlexvenueno aff
Jassim Ahmad Al-Gasawneh, Abdullah Matar Al-Adamat, Ra’d Almestrihif, Nawras M. Nusairat, Marhana Mohamed Anuar, Abdalrazzaq Aloqool

Bibliographic record

VenueInternational Journal of Data and Network Science · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsReuseModerationService (business)Technology acceptance modelBusinessKnowledge managementMarketingUsabilityComputer scienceEngineering

Abstract

fetched live from OpenAlex

Stimulating customers’ reuse of online services, such as online shopping, is integral for companies. Consequently, this study assessed the effects of mobile customer relationship management on reuse online intention and the impact of mobile customer relationship management on service convenience. Additionally, the study analyzed the effect of service convenience on reuse online intention, the mediating role of service convenience between mobile customer relationship management and reuse online intention and the moderating role of online perceived behavior control between service convenience and reuse online intention. This study utilized two theories: the technology acceptance model and planned behavior. A total of 249 responses from customers were analyzed with Smart Partial Least Squares. According to the study, mobile customer relationship management positively impacts service convenience and reuse online intention. Additionally, service convenience mediated the connection between mobile customer relationship management and reuse of online intention, and online perceived behavioral control moderated the association between service convenience and reuse online intention. The study focused on consumers’ motivations regarding reuse online services intention. The goal here is to aid organizations in the implementation of service convenience and innovative online strategies and applications that provide services to 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.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.136
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0020.001
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 head0.127
GPT teacher head0.426
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

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

Citations8
Published2021
Admission routes1
Has abstractyes

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