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Record W2130137584 · doi:10.1109/hicss.2001.927034

Business-to-business e-commerce: a transition model

2005· article· en· W2130137584 on OpenAlexaff
Louis A. Lefebvre, Luc Cassivi, Élisabeth Lefebvre

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDigital Platforms and Economics
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsBusiness modelWitnessBusinessProcess managementProcurementElectronic businessThe InternetService (business)Business ruleArtifact-centric business process modelNew business developmentProduct-service systemDigital economyKey (lock)Business-to-businessE-commerceKnowledge managementBusiness processComputer scienceMarketingBusiness process modelingComputer security

Abstract

fetched live from OpenAlex

The creation of Internet based companies is changing the way business is being carried out and increasing the pressure on traditional firms, which now need to adapt to the new challenges brought about by the so-called digital economy. Successful electronic commerce activities depend on the partners involved in the product or service being delivered. Firms able to communicate with their partners electronically for procurement, sales, or supply chain management have become what many call clicks-and-mortar companies. An empirically based technological model that helps organizations understand the requirements of moving towards the seamless integration of intra- and inter-organizational processes is proposed. This five-wave transitional model accompanies key decision makers through progressive steps that correspond to different business-to-business e-commerce needs and specifications. As organizations move along these technological waves, we can witness the gradual opening up of new opportunities for carrying out business. The paper presents the model, its requirements and its technological and organizational underpinnings. The model is illustrated with examples from organizations in a major industrial sector.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.998

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 communication0.0010.008
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

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 head0.020
GPT teacher head0.202
Teacher spread0.182 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2005
Admission routes1
Has abstractyes

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