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Buyer-Supplier Relationships in Business-to-Business E-Procurement

2007· book-chapter· en· W2235232424 on OpenAlexaff
Ravinder Nath, Rebecca Angeles

Bibliographic record

VenueAdvances in e-business research series · 2007
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsDynamismProcurementBusinessDependency (UML)Industrial organizationSupply managementResource dependence theoryInformation exchangeResource (disambiguation)Supply chainSupply chain managementRelational viewMarketingMicroeconomicsEconomicsComputer science

Abstract

fetched live from OpenAlex

This study explores the resource dependency and relational exchange theories to understand firms’ participation in e-procurement and seeks to determine the degree to which the resource dependency theory variables—supply importance, supply complexity, supply market dynamism, and availability of alternatives—affect information exchange and operational linkages, the relational exchange theory variables. Data was gathered from the Institute for Supply Management and the Council of Logistics Management members using the survey technique. Supply importance and supply complexity primarily predict information exchange and operational linkages. Study findings reconfirm the important impact of environmental and market uncertainty on firm responses as echoed in past studies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.113
GPT teacher head0.360
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2007
Admission routes1
Has abstractyes

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