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Record W2944107929 · doi:10.33423/jabe.v20i9.224

Maturity Level of Information Systems Security and Control: A Survey of Companies in Thailand

2018· article· en· W2944107929 on OpenAlexvenueno aff
Chamaiporn Theerakarn, Nitaya Wongpinunwatana, Thunyanee Pothisarn

Bibliographic record

VenueJournal of Applied Business and Economics · 2018
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessMaturity (psychological)Asset (computer security)Information security managementInformation securityCertified Information Security ManagerControl (management)Information systemPosition (finance)Stock exchangeSecurity controlsIndustrial organizationMarketingSecurity information and event managementFinanceSecurity serviceComputer securityCloud computing securityEconomicsNetwork security policyComputer scienceEngineering

Abstract

fetched live from OpenAlex

The objective of this study is to survey companies’ information systems security and control, and todevelop a maturity level of information systems security and control application. This application shows a company’s position of information systems security and control by comparing this position with other companies. This study is survey research. Participants are chief information security officers of 304 Stock Exchange of Thailand listed companies within eight industry groups (services, property and construction, industrials, financials, agriculture and food industry, consumer products, technology, and natural resources). The findings suggest that all companies are aware of security of network access control. Many companies also implement information security policies, asset management systems, and access controls for data, information systems and business applications.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score0.241

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.213
Teacher spread0.189 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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