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Gaining Competitive Advantage From Integrating Enterprise Resource Planning and Total Quality Management

2005· article· en· W1993453684 on OpenAlex

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 Supply Chain Management · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicERP Systems Implementation and Impact
Canadian institutionsInternational Civil Aviation OrganizationConcordia University
Fundersnot available
KeywordsEnterprise resource planningAerospaceCompetitive advantageBusinessProcess managementQuality (philosophy)Quality managementResource (disambiguation)Exploratory researchResource-based viewKnowledge managementComputer scienceMarketingEngineering

Abstract

fetched live from OpenAlex

Summary Using the complex aerospace industry as a backdrop, this exploratory study examines the coexistence of enterprise resource planning (ERP) applications and quality management initiatives, as they relate to competitive advantage and supplier influence. Using a qualitative methodology, the results support the following: (a) a resource‐based view that ERP implementation influences competitive position and performance only indirectly through interactions with other resources; (b) that ERP applications do not adequately address the procedural and system complexities of the existing quality programs used by aerospace manufacture; and (c) that ERP implementation increases the influence of the focal firm over the suppliers' quality improvement system.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
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 head0.021
GPT teacher head0.300
Teacher spread0.279 · 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