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Record W3008116853 · doi:10.5539/mas.v14n3p75

The Impact of Cyber Governance in Reducing the Risk of Cloud Accounting in Jordanian Commercial Banks - from the Perspective of Jordanian Auditing Firms

2020· article· en· W3008116853 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueModern Applied Science · 2020
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCronbach's alphaDescriptive statisticsAuditAccountingSample (material)Corporate governanceBusinessExternal auditorCloud computingTest (biology)Computer securityStatisticsComputer scienceInternal auditMathematicsFinance

Abstract

fetched live from OpenAlex

The objective of this study is identifying the impact of cyber governance on reducing the risk of cloud accounting in the Jordanian commercial banks. To achieve the objectives of this study, the descriptive and analytical approach was used; the study community is composed of external legal accountants who practices auditing in Jordan, (477) of them are practicing external auditing at the end of (2018) according to the statistics of the Jordanian association of certified public accountants (JACPA). Due to the difficulty and cost of the comprehensive survey, a simple random sample was taken. The sample included (213) auditors. The questionnaire was distributed to the sample of the study by the researchers personally and through e-mails, (182) questionnaires were recovered, after excluding (7) for the incompetence, of which (175) were valid for the statistical analysis. Thus, the percentage of retrieved and analyzed questionnaires was (82.2%), which is statistically acceptable. and In order to analyze the study data and test hypotheses, the statistical package for social sciences (SPSS) was used in the various statistical analyses, which are the descriptive statistics and coefficient of internal consistency (Cronbach's alpha). also, The multiple correlation test was used, using the Pearson correlation coefficient, Multiple linear regression and stepwise regression analysis. The study came to find several results , the most important was The presence of a statistically significant impact of cyber security governance (cybersecurity security governance requirements, cybersecurity program, cyber security policy, cyber information management, evaluating and managing cyber risks) in reducing cloud accounting risks in Jordanian commercial banks, The most important recommendations are the need for Jordanian commercial banks to adopt the cyber governance as a basic reference to their banking policy to address the risks associated with the use of cloud accounting, As well as the need to establish a special department for human resources management within the bank which would have a pioneering intellectual orientation to cope with modern trends in cyber governance.

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.

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)0.001
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 score0.240
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.012
GPT teacher head0.238
Teacher spread0.227 · 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