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Record W4391881404 · doi:10.1080/10447318.2024.2314814

The Mediation Role of Convenience in Mobile Wallet Adoption

2024· article· en· W4391881404 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

VenueInternational Journal of Human-Computer Interaction · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMediationMobile paymentBusinessInternet privacyComputer securityComputer sciencePolitical scienceTelecommunicationsMobile computing

Abstract

fetched live from OpenAlex

Completing purchases more efficiently is appealing to many individuals. Mobile wallets can enhance efficiency as well as provide greater conveniences. For example, individuals can pay with their smartphone and transfer money to family and friends. Although mobile wallet adoption has increased, its adoption is not prevalent. For mobile wallets to become more widely used, it is important to identify contributors to potential adoption intentions which can ultimately lead to greater usage. We extend the Theory of Planned Behavior (TPB) with service convenience, decomposed into transaction and benefit conveniences. The results of our empirical research suggest that both attitude and subjective norms are important. Our findings also suggest that benefit and transaction conveniences serially mediate the influence of perceptions of behavioral control on behavioral intention to use a mobile wallet. Our model can be utilized in future mobile wallet research as well as by practitioners interested in increasing mobile wallet adoption.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.049
GPT teacher head0.410
Teacher spread0.361 · 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