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Record W7018998887

Factors influencing customers to choose Bank Rakyat Islamic credit card / Siti Nur'ain Ismail Yatim

2019· other· en· W7018998887 on OpenAlexaboutno aff

Bibliographic record

VenueUiTM Institutional Repositories (Universiti Teknologi MARA) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIslamCredit cardIslamic bankingCredit card interestQuarter (Canadian coin)Credit historyBank credit
DOInot available

Abstract

fetched live from OpenAlex

Islamic credit card provides various facility such as credit facility or advanced payment. This research to study the factors influencing customers to choose the Bank Rakyat Islamic Credit Card by using Innovation Diffusion Theory (ID T) which IDT consist of relative advantage, compatibility, complexity, trialability and observability. This research is specifically focus on the Bank Rakyat Islamic credit card's customers in Bank Rakyat, Head Quarter (HQ). A descriptive study was conducted to 141 customers of Bank Rakyat. Seven section of questionnaire was distributed to the customer relating the Innovation Diffusion Theory and intention of use Bank Rakyat Islamic Credit Card. The study was found that relative advantage, compatibility and observability have significant relationship with the usage of Bank Rakyat Islamic Credit Card. The study is able to determine the factors influencing customers to choose the Bank Rakyat Islamic Credit Card despite the limitation when the customer is hardly to cooperate to respond this survey.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.017
GPT teacher head0.237
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

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