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Record W1996829666 · doi:10.1016/j.sbspro.2012.09.042

Enterprise Risk Management and Firm Performance

2012· article· en· W1996829666 on OpenAlexaff
Tony K. Quon, Daniel Zéghal, Michael Maingot

Bibliographic record

VenueProcedia - Social and Behavioral Sciences · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRisk Management in Financial Firms
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEnterprise risk managementBusinessRisk managementRecessionFinancial risk managementCorporate governanceVolatility (finance)Context (archaeology)Business risksAccountingFinanceRisk analysis (engineering)Economics

Abstract

fetched live from OpenAlex

Increased volatility in the business world has exposed the inadequacy of traditional but fragmented approaches to risk management. This has led to an integrated approach to measuring and managing risks known as enterprise risk management (ERM). While past studies of ERM disclosures have examined it within the context of corporate governance and internal control, its relationship to firm performance has received little attention. While business performance changed radically between 2008 and 2009 during the financial crisis and economic recession, only minor increases in risk exposure, risk consequence or risk management strategies were found from 2007 to 2008. ERM information did not predict or have any appreciable effect on business performance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.043
GPT teacher head0.280
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), 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

Citations123
Published2012
Admission routes1
Has abstractyes

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