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Record W2806582386 · doi:10.5539/ijef.v10n6p193

External Auditor Role in Auditing the Extent of Jordanian Industrial Public Shareholding Companies Compliance in Disclosing about Sustainability Reports Dimensions

2018· article· en· W2806582386 on OpenAlexvenueno aff
Sufyan Salameh Jubarah

Bibliographic record

VenueInternational Journal of Economics and Finance · 2018
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAuditAccountingBusinessCompliance (psychology)ObligationExternal auditorPublicationSample (material)Sustainability reportingPopulationWork (physics)SustainabilityCorporate social responsibilityPublic relationsInternal auditPsychologyLawEnvironmental healthPolitical scienceEngineering

Abstract

fetched live from OpenAlex

This study aimed to determine the role of the external auditor in auditing the extent of compliance of Jordanian industrial public shareholding companies in disclosing the dimensions of the sustainability reports. To achieve this study goal, the researcher used the t-test for binary comparisons in hypothesis testing. This study population consisted audit offices operate in Jordan, which amount is 82 registered and practicing offices in which 400 registered and practicing auditors work. The study sample was selected randomly from the external auditors in these offices and it consisted of 200 respondents. The study reached to there is a role for the external auditor in auditing the extent of compliance of Jordanian industrial public shareholding companies in disclosing the environmental, economic, and social dimensions. However, the level of this role in disclosing of social dimension was high. The study recommended that the external auditors should verify that companies are committed to publish information about extent of including of the environment in their vision or mission or objectives. The study also recommends confirmation of the auditor's obligation to ensure commitment of the companies in stating the environmental effects when taking investment decisions.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.290

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 science0.0010.000
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 head0.034
GPT teacher head0.258
Teacher spread0.224 · 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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