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Record W2113882176 · doi:10.1504/ijpd.2012.051150

A 'living laboratory' environment for exploring innovative RFID-enabled supply chain management models

2012· article· en· W2113882176 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 Product Development · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSupply chainProcess managementSupply chain managementSystems engineeringLiving labNew product developmentKnowledge managementProcess (computing)NegotiationProduct (mathematics)EngineeringComputer scienceEngineering managementBusinessHuman–computer interactionMarketing

Abstract

fetched live from OpenAlex

The purpose of the paper is to present a ‘living laboratory’ research environment, analyse its role for exploring innovative supply chain models, and discuss the methodological approaches used in the laboratory during the front-end phases of a new product/service development process. The research approach relies on an open innovation platform characterised by ‘users as innovators’ cooperating in an open and independent research environment to envision, design, negotiate, develop, test and validate emerging supply chain models. Results indicate that the ‘living laboratory’ represents an alternative research environment, which is particularly well fitted for exploring emerging phenomena such as RFID-enabled supply chain management models as it provides appropriate support to networked innovation collaborative processes.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.050
GPT teacher head0.244
Teacher spread0.195 · 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