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Record W1985748214 · doi:10.1108/09574090410700257

The Impact of E‐collaboration Tools on Firms' Performance

2004· article· en· W1985748214 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

VenueThe International Journal of Logistics Management · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCollaboration in agile enterprises
Canadian institutionsHEC MontréalPolytechnique MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsSupply chainUpstream (networking)Original equipment manufacturerBusinessKey (lock)Supply chain managementDownstream (manufacturing)Process managementIndustrial organizationOperations managementComputer scienceMarketingTelecommunications

Abstract

fetched live from OpenAlex

In this paper, we focus on the relative efficiency of different e‐collaboration tools and their impact on the performance of individual firms positioned along the supply chain. In exploratory study, the supply chain of one large telecommunications OEM was analyzed in two consecutive phases, namely a detailed case study and an electronic survey. This led to the examination of an entire supply chain from both upstream and downstream perspectives. Supply chain execution and supply chain planning e‐collaboration tools were identified and their relative efficiency was assessed. We attempt to map out the tools' potential to enhance the performance of, individual firms, in particular the link between e‐collaboration configurations and key performance dimensions.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.498

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 communication0.0010.001
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 head0.025
GPT teacher head0.291
Teacher spread0.267 · 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