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Record W2885203403

Explaining the information systems auditor role in the public sector financial audit

2017· article· en· W2885203403 on OpenAlexaboutno aff
Michael Axelsen, Peter Green, Gail Ridley

Bibliographic record

VenueQUT ePrints (Queensland University of Technology) · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAuditJoint auditAccountingAuditor independenceBusinessInformation technology auditAudit planAuditor's reportAudit evidencePublic sectorAudit substantive testExternal auditorChief audit executiveInternal auditPublic relationsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This paper addresses the research questions, “<i>What is the role of the IS auditor in supporting the financial audit?</i>” and “<i>What key determinants affect that role?</i>” through the development of an explanation theory for the role of the IS auditor in the public sector financial audit. Results are based on semi-structured interviews with 55 senior auditors and IS auditors. These auditors worked in ten practice offices in the Australian, Canadian, New Zealand and United Kingdom public sectors. We manually coded 23 interview transcripts and used the Leximancer tool to extend this coding to the remaining transcripts through automated text analysis. The analysis allowed the identification of relevant “common statements” representing the prominent and shared perceptions of the IS auditor role amongst these auditors. These common statements provided a basis for the development of an initial explanation theory. One new construct presented in this theory is the practice office's “IS audit emphasis”, which represents the practice office's emphasis upon the relationship between the IS auditor role and the audit team. The explanation theory provides a richer description of current audit practice regarding the IS auditor's role in public sector financial audit than currently exists. Consequently, this research provides insights for those involved in the education and training of auditors by developing a foundation for a more complete understanding of the IS auditor role.

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)0.003
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 score0.636
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.008
GPT teacher head0.178
Teacher spread0.170 · 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
Published2017
Admission routes1
Has abstractyes

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