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Record W2991249782 · doi:10.5539/ibr.v12n12p93

Impact of the Development of ICT Infrastructure and Security on the Effectiveness of Accounting Information in the Jordanian Banking Sector

2019· article· en· W2991249782 on OpenAlexvenueno aff
Reem Oqab Hussein Al- Khasawneh, Mohamed Mahmoud Bshayreh, Mohamed Ali Al-Oqool

Bibliographic record

VenueInternational Business Research · 2019
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsInformation and Communications TechnologyHuman resourcesAccountingKnowledge managementBusinessModernization theoryAccounting information systemInformation technologyInformation technology managementInformation securityInformation systemComputer scienceManagement information systemsComputer securityWorld Wide WebManagementEconomicsEconomic growthEngineering

Abstract

fetched live from OpenAlex

Information and communication technology ICT infrastructure is an essential foundation of the information society characterized by modernization and advance. ICT infrastructure consists of main five elements including physical resources, human resources, software, databases and networks and communication. The study aims at identifying the impact of the development of ICT infrastructure, which includes physical and human resources, software, databases and networks and communications, on the effectiveness of accounting information systems. To achieve the purposes of the study, a researcher has used a descriptive research methodology; a questionnaire has been distributed to the employees at various management and accounting positions in the bank. The study found that the developments of ICT infrastructure, consisting of physical and human resources, software, databases and networks and communications, affects extremely the effectiveness and security of accounting information systems.

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 score0.013
Threshold uncertainty score0.170

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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