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The Impact of Interorganizational Internet Communication on Purchasing Performance: A Study of Chinese Manufacturing Firms

2006· article· en· W2020911705 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

VenueJournal of Supply Chain Management · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsLakehead University
Fundersnot available
KeywordsFormalityThe InternetPurchasingBusinessMarketingComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

SUMMARY This study investigated the effect of interorganizational Internet communication on purchasing performance. On the basis of a review of the relevant literature, three key dimensions of Internet communication behaviors were identified: frequency, diversity and formality. A model was developed to depict the antecedents of interorganizational Internet communication and the impact of such communication on purchasing performance. Responses from 284 Chinese manufacturing firms were used to test the study's hypotheses. Results revealed that the frequency, diversity and formality of Internet communication played an important role in determining the level of purchasing performance. Additionally, formality was critical to managing information flows over the Internet and preventing potential Internet information security risks. Further, results indicated that two factors, perceived Internet security risks and norms of Internet information sharing, significantly influenced Internet communication behaviors.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.281
Teacher spread0.272 · 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