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Record W2090187426 · doi:10.1108/17410390610658432

Supply chains and the enterprise

2006· article· en· W2090187426 on OpenAlexaff
Norm Archer

Bibliographic record

VenueJournal of Enterprise Information Management · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicERP Systems Implementation and Impact
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSupply chainStructuringEnterprise architectureOriginalityEnterprise integrationEnterprise architecture managementSupply chain managementComputer scienceArchitectureEnterprise information systemValue (mathematics)Enterprise modellingKnowledge managementProcess managementBusinessEnterprise softwareMarketingSociologyQualitative research

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to introduce a special issue on supply chains and the enterprise. Design/methodology/approach Introductory review and brief description of research papers in this issue. Findings To demonstrate the growing complexity and the multiple factors involved in structuring the enterprise effectively, references a paper by Iyer and Gottlieb that suggests an approach to enterprise architecture design. This integrates the internal and external environment, thus being highly relevant to supply chain issues. Research limitations/implications Implies that the broad research framework for enterprise architecture is relevant to the study of supply chain issues, but leaves the reader to discover whether this is the case by perusing the research papers in this issue. Practical implications Links enterprise architecture to supply chain issues of importance to industry. Originality/value Provides a descriptive framework for linking papers in the issue to general supply chain issues.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.008
Scholarly communication0.0100.009
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.006
GPT teacher head0.221
Teacher spread0.215 · 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 designNot applicable
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

Citations12
Published2006
Admission routes1
Has abstractyes

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