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Record W4294636412 · doi:10.5267/j.uscm.2022.7.011

A structural equation model for analyzing the relationship between enterprise resource planning and digital supply chain management

2022· article· en· W4294636412 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUncertain Supply Chain Management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicERP Systems Implementation and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsDigitizationStructural equation modelingEnterprise resource planningBusinessSupply chainSupply chain managementProcess managementResource (disambiguation)Process (computing)Knowledge managementIndustrial organizationOrder (exchange)Digital firmOperations managementMarketingComputer scienceEnterprise information systemEconomics

Abstract

fetched live from OpenAlex

Digitization and the internet are new phenomena which have greatly changed the way in which modern-day businesses are run. Enterprise resource planning (ERP) is one such system developed as a result of digitization in order to improve firm supply chain efficiency. This study investigated the relationship between digital and sustainable supply chain (in this case the ERP system) and firm competences of supply chain management. 33 respondents from e-commerce firms volunteered to take part in the data collection process of the study, with a majority of them being information technology (IT) managers. The hypothesized relationships were analyzed using structural equation modelling (SEM). Findings of the study depict that all the hypothesized relationships were significant (p<.001) at the 1 % level of significance, implying that there exists a positive effect of the ERP systems on firm performance.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.066
GPT teacher head0.297
Teacher spread0.231 · 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