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Record W3199061276 · doi:10.33423/jabe.v23i1.4068

Intellectual Capital, Knowledge Management in the Interaction of Government and Management of Information Technologies from COBIT 5 Perspective

2021· article· en· W3199061276 on OpenAlexvenueno aff
Percy De la Cruz

Bibliographic record

VenueJournal of Applied Business and Economics · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsEnablingIntellectual capitalCOBITKnowledge managementBusinessQuality (philosophy)Control (management)AuditComputer scienceProcess managementCorporate governanceAccounting

Abstract

fetched live from OpenAlex

This article provides a reflection on Intellectual Capital and Knowledge Management out of a COBIT (Control Objectives for Information and Related Technology), 5 framework proposal stating the importance to achieve strategic objectives and to obtain an ideal quality level, through efficiency, efficacy and effectiveness in the whole area of processes and procedures oriented to Organizational Development; thus, the objective is to present these concepts through a documentary investigation analyzed in data bases, Google Scholar, on-line catalogs and repositories. The COBIT 5 framework proposal is described in its Principle 4 "Enabling a holistic approach". In the explanation, each enabler and its interaction with the Intellectual Capital and Knowledge Management is detailed, in which the viability to achieve the institutional objectives and goals is observed, ensuring and closing the gap between Information Technology Management and business objectives. From the analysis, it is concluded that the participation of these two concepts in all the processes is very active and important, so its explicit definition is proposed in the Governance models.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.198
Teacher spread0.181 · 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 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

Citations3
Published2021
Admission routes1
Has abstractyes

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