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Record W2135876625 · doi:10.5539/ijms.v6n1p75

Website Design and Usage Behaviour: An Application of the UTAUT Model for Internet Banking in UK

2014· article· en· W2135876625 on OpenAlexvenueno aff
Kholoud I. Al Qeisi, Ghaith Al‐Abdallah

Bibliographic record

VenueInternational Journal of Marketing Studies · 2014
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsUnified theory of acceptance and use of technologyExpectancy theorySample (material)The InternetComputer scienceMarketingFoundation (evidence)BusinessKnowledge managementWorld Wide WebPsychology

Abstract

fetched live from OpenAlex

A well designed website brings numerous benefits to firms. Some of these benefits are well established. But whatelements of the website design really matter and how do these in turn influence website usage behaviour?Adopting the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical foundation, wereport the findings from a survey of 316 users of internet banking; data were collected through an offlinequestionnaire developed based on the literature review and previous studies,directed to a convenience sample.Structure equation modelling, the two steps approach, starting with measurement model and then the structuralmodel was applied.We demonstrate that the technical, general content and appearance dimensions of a Web siteare the most important for users. In addition, these dimensions are significantly related to usage behaviourdirectly and indirectly through belief constructs. We also find that the impact of performance expectancy onusage behaviouris significant in predicting usage. Implications and Recommendationswere provided afterthorough discussion.

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)0.005
metaresearch head score (Gemma)0.023
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 score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.119
GPT teacher head0.413
Teacher spread0.294 · 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

Citations31
Published2014
Admission routes1
Has abstractyes

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