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Record W2336098560 · doi:10.4172/1204-5357.1000105

Measurement on Usage of the Internet Banking in Colombia

2015· article· en· W2336098560 on OpenAlexvenueno aff
Fredy ECS Torres JMS

Bibliographic record

VenueThe Journal of Internet Banking and Commerce · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDigital Platforms and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetUsabilityComputer scienceOrder (exchange)Quality (philosophy)Process (computing)Presentation (obstetrics)Service (business)BusinessWorld Wide WebMarketingFinance

Abstract

fetched live from OpenAlex

Internet Banking is a set of financial services through internet platforms. Its measure is oriented towards infrastructures more than users. For such a reason, it is required to understand the needs of strengthening measurements in Internet Banking uses. In Colombia, there were no studies identified in measurement of Internet Banking most used service and motivating factors for such uses. Therefore, the purpose of this study herein is to present the results on the measurements of Internet Banking uses in Colombia in order to explore which of those services are the most used in the country and which most important aspects influence such uses. Method used for this study is composed by a conceptual framework and an assessment process divided into a design and implementation of an adequate measurement system and presentation of results. These results have shown that bank statement and account statement are the most used Internet Banking based services in Colombia. Moreover, quality, familiarity, use and usability and trust are the most influencing factors in the use of Internet Banking in this country.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.050
GPT teacher head0.221
Teacher spread0.171 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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