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Record W4385463562 · doi:10.2308/api-2022-009

Technology, Ethics, and the Pandemic: Responses from Key Accounting Actors

2023· article· en· W4385463562 on OpenAlexaff
Emilio Boulianne, Annie Lecompte, Mélissa Fortin

Bibliographic record

VenueAccounting and the Public Interest · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSupply Chain Resilience and Risk Management
Canadian institutionsUniversité du Québec à MontréalConcordia University
Fundersnot available
KeywordsAuditEthosContext (archaeology)AccountingInformation ethicsPublic relationsPandemicDocumentationCITESPolitical scienceEngineering ethicsSociologyBusinessCoronavirus disease 2019 (COVID-19)MedicineLawEngineeringComputer science

Abstract

fetched live from OpenAlex

ABSTRACT A pandemic is an exceptional context involving radical disruptions for organizations and society. Ethical considerations evolve among individuals and organizations, and the way technology is used is an important factor in this evolution. We explore how key actors in the accounting space—namely, the Big 4 firms, the professional accounting associations, and the audit regulators—responded to the conjunction of the pandemic, ethics, and technology. We contextualize our documentation analysis referring to the ETHOs framework, which integrates ethics and technology. Findings suggest that ethics and technology are significant for the professional accounting associations and the audit regulators during the pandemic. In contrast, the Big 4 appear to overlook this importance, focusing instead on gains to be obtained from technology, applying a commercial logic above a professional logic. Our study underscores the importance of considering ethics in the future design and utilization of technology to maintain trust in the accounting profession. Data Availability: Data are available from the public sources cites in the text.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
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 score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.046
GPT teacher head0.275
Teacher spread0.229 · 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

Citations9
Published2023
Admission routes1
Has abstractyes

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