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Record W2103487244 · doi:10.1504/ijnvo.2006.011872

RFID technology and the EPC network as enablers of mobile business: a case study in a retail supply chain

2006· article· en· W2103487244 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Networking and Virtual Organisations · 2006
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaU.S. Department of Defense
KeywordsSupply chainRadio-frequency identificationLeverage (statistics)BusinessSupply chain managementProcess managementBusiness processComputer scienceTelecommunicationsMarketingComputer securityWork in process

Abstract

fetched live from OpenAlex

The main objective of this study is to explore the impact of integrating Radio Frequency Identification (RFID) technology and the Electronic Product Code (EPC) network into one specific supply chain in the retail industry and investigate their potentials as enablers of Mobile Business (m-business). Based on empirical data gathered from three layers of a supply chain, several scenarios integrating RFID and the EPC network have been developed and tested in a laboratory setting. In the context of warehousing activities, the results indicate that (a) these technologies can improve the 'shipping' and 'receiving' processes and allow 'in transit visibility'; (b) they offer opportunities for optimisation through business process redesign, (c) allow the emergence of new 'smart processes'; (d) facilitate information flow between supply chain members; and (e) they enable supply chain members to leverage their existing IS investments.

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 score0.358
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.229
Teacher spread0.223 · 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