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Record W7056533989

Effective ethics management and culture: examination of internal reporting and whistleblowing within a Nafta member context

2004· article· en· W7056533989 on OpenAlexfundaboutno aff

Bibliographic record

VenueScholarSpace (University of Hawaii at Manoa) · 2004
Typearticle
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsnot available
FundersBureau of Educational and Cultural AffairsSimon Fraser UniversityUniversity of Hawai'i
KeywordsHofstede's cultural dimensions theoryCollectivismContext (archaeology)Cultural diversityBusiness ethicsUncertainty avoidanceDiversity (politics)Dimension (graph theory)
DOInot available

Abstract

fetched live from OpenAlex

Sampling 1,187 business professionals, this research effort examines the potential relation of Hofstede culture dimensions to the propensity for, and potential effectiveness of, both internal reporting and whistle blowing as ethics management tools within a NAFTA (North American Free Trade Agreement) context. Samples from a total often regions in the U.S., Canada and Mexico were taken to help increase the accuracy and meaningfulness of the findings by recognizing diversity within culturally complex nations. Of the cultural Hofstede dimensions examined, uncertainty avoidance and power distance had the most consistent and significant relations to whistle blowing and internal reporting, while collectivism was not found to have a significant impact. Managers who better understand the specific cultural links to identified areas of ethics management, like internal reporting and whistle blowing, stand an increased probability of crafting the most effective organizational strategies in this area. Researchers can gain from increased insight, allowing departure from assumptions of how cultural dimensions might influence ethics management to an empirically based position.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.001
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 head0.025
GPT teacher head0.242
Teacher spread0.217 · 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 designBench or experimental
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
Published2004
Admission routes2
Has abstractyes

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