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Record W2072145153 · doi:10.1504/ijmed.2009.021738

Perceptions of the importance of absorptive capacity attributes as they relate to Radio Frequency Identification implementation by firms anticipating Radio Frequency Identification use

2008· article· en· W2072145153 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

VenueInternational Journal of Management and Enterprise Development · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAbsorptive capacityRadio-frequency identificationIdentification (biology)BusinessSupply chainSample (material)MarketingValue propositionPropositionOrder (exchange)Industrial organizationPerceptionComputer scienceFinance

Abstract

fetched live from OpenAlex

This study examines the perceptions of firms intending to use Radio Frequency Identification in their supply chains of the importance of absorptive capacity attributes in pursuing operational efficiency or market knowledge creation. Competitive pressures motivate firms to learn expeditiously from their trading partners in order to meet escalating customer demands. Data from a convenience sample of 140 firms whose executives are members of the Council of Supply Chain Management Professionals was analysed. The study sought to test the proposition that absorptive capacity attributes will significantly predict both operational efficiency and market knowledge creation. Using multiple regression, the results actually support the proposition.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.030
GPT teacher head0.273
Teacher spread0.244 · 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