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Record W3126704983 · doi:10.5539/ibr.v14n3p15

Investigating IT Governance Practice and Its Application, Benefits, and Administrative Implications in the Banking Sector, Saudi Arabia

2021· article· en· W3126704983 on OpenAlexvenueno aff
Mohammed Frag Alaqla

Bibliographic record

VenueInternational Business Research · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicData Quality and Management
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceReputationLikert scaleBusinessAccountingValue (mathematics)Control (management)Customer satisfactionCompetitive advantageMarketingScale (ratio)FinanceEconomicsManagement

Abstract

fetched live from OpenAlex

Governance is one of the most effective tools to stimulate investments because it encourages the growth of financial markets. IT governance is a fundamental part of corporate governance. It helps achieve many advantages and benefits for companies. This study aims to examine the level of IT governance practice and its application, benefits, and administrative implications in the private banking sector in Saudi Arabia. To achieve the research objective, the inductive and deductive research approaches are employed to address the questions and collect the data. A 5-point Likert scale questionnaire was administered to three categories of employees in the selected Saudi banks. The findings revealed that IT governance contributed to creating a competitive advantage and adding real value to the banks through improving their reputation, increasing the market share, and enhancing customer satisfaction, which resulted in an improvement in the value of the banks. However, it is recommended that the rules of control and the principles of IT governance are considered in the future policies of Saudi banks, their mission, structures, and decision-making.

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)0.006
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.398
GPT teacher head0.520
Teacher spread0.123 · 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.

Study designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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