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Record W3211857123 · doi:10.5267/j.ijdns.2021.11.003

Quality factors in technology system capability decision interest in transactions using mobile banking

2021· article· en· W3211857123 on OpenAlexvenueno aff
Ida Bagus Raka Suardana, Luh Kadek Budi Martini, Nyoman Sri Subawa, Made Setini

Bibliographic record

VenueInternational Journal of Data and Network Science · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsMobile bankingUsabilityDatabase transactionBusinessQuality (philosophy)Structural equation modelingTransaction costComputer scienceMarketingDatabaseFinanceOperating system

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the effect of ease of use, transaction success rate, and technological system capability on trust and to determine the effect of ease of use, transaction success rate, technology system capability and interest in transaction using mobile banking. This research was conducted at PT Bank NIAGA which is located in Denpasar. The data collection technique used a questionnaire to 160 PT Bank NIAGA customers who were selected as samples. Data were analyzed by Structural Equation Modeling (SEM) with AMOS program. Ease of use, transaction success rate, and technology system capability have a positive and significant influence on trust and interest in transacting using mobile banking. This means that the better the ease of use, the success rate of transactions, and the capability of the technology system, the higher the customer trust and interest in transactions using mobile banking.

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)0.006
metaresearch head score (Gemma)0.001
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 score0.073
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
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 science0.0020.000
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 head0.250
GPT teacher head0.468
Teacher spread0.218 · 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

Citations9
Published2021
Admission routes1
Has abstractyes

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