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Record W2488808181 · doi:10.1108/jsma-09-2015-0075

Effects of the environment on illegal cartel activity

2016· article· en· W2488808181 on OpenAlex
David W. Kunsch, Karin Schnarr, W. Glenn Rowe

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of strategy and management · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsWestern UniversityWilfrid Laurier University
Fundersnot available
KeywordsCartelContinuanceDynamismBusinessDeviance (statistics)OriginalityResource dependence theoryMarketingLaw enforcementPrice fixingIndustrial organizationEconomicsMicroeconomicsLawPolitical scienceCollusion

Abstract

fetched live from OpenAlex

Purpose – Using resource dependency theory, the purpose of this paper is to examine what elements in the business environment may be associated with the formation and continuance of cartels. Design/methodology/approach – The authors employ a unique data set of 148 cartel data points from the 1970s to 2008 which have at least one American company involved to quantitatively test causal relationships. The authors also interview key class action anti-trust attorneys for their views and opinions on the impact of these environmental factors on cartel formation and continuance. Findings – The authors find statistically significant relationships between the pursuit and maintenance of industry profits and the dynamism in the industry, and illegal behavior as represented through price fixing by business cartels. The authors find that in the attorneys’ opinion, it is also the pursuit of individual corporate profits and munificence that are associated with these cartels. Practical implications – This research furthers the understanding of organizational deviance which is critical given its impact on organizations, individuals, regulators, law enforcement, and the general public. Originality/value – This research is a first step in considering cartel activity in a way that encompasses external influences in a new and innovative manner and as a tool to help researchers and practitioners better understand how organizational deviance, as manifested through illegal corporate activity, can be anticipated, identified, and prevented.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.190

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
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