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Record W2116185949 · doi:10.5539/ijms.v3n2p73

An Empirical Investigation of the Determinants of User Acceptance of Electronic Exchanges (Case Study: Buying and Selling Section of Active Companies of Iran's Textile Industry)

2011· article· en· W2116185949 on OpenAlexvenueno aff
Hassan Ghorbani, Fatima Madani

Bibliographic record

VenueInternational Journal of Marketing Studies · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsMarketingBusinessOrder (exchange)Statistical populationEmpirical researchTextile industryQuality (philosophy)PopulationStructural equation modelingConceptual modelTechnology acceptance modelGoodness of fitSection (typography)TextileTest (biology)AdvertisingUsabilityComputer scienceMathematicsStatistics

Abstract

fetched live from OpenAlex

Electronic commerce is being increasingly developed as the modern phenomenon of business world. But thisfact should be considered that in spite of all benefits electronic commerce brings about, it should not be observedas a purpose. Certainly necessary actions must be taken with regard to accepting of electronic commerce forapplying and facilitating of it in the organization. The purpose of this research is designing a comprehensivemodel for acceptance of electronic exchanges technology in textile industry.The statistical population consists of all employees of buying and selling section of active companies of Iran'stextile industry. We have applied random sampling method in this research. In order to test the conceptual model,structural equations' model has been used that the results of it demonstrate acceptance and confirmation of allstudied factors . Amount of goodness indexes (AGFI= 0.93, GFI= 0.96) shows suitability of the model.

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)0.004
metaresearch head score (Gemma)0.002
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 score0.072
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
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 head0.233
GPT teacher head0.448
Teacher spread0.215 · 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.

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

Citations4
Published2011
Admission routes1
Has abstractyes

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