MétaCan
Menu
Back to cohort
Record W3212284132 · doi:10.5267/j.uscm.2021.10.009

Innovation and supply chain orientation concerns toward job creation law in micro, small, and medium enterprises export-oriented products

2021· article· en· W3212284132 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 · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessSupply chainSmall and medium-sized enterprisesPrinciple of legalityContext (archaeology)Industrial organizationPopulationEmpirical researchOrder (exchange)Structural equation modelingMarketingCommerceComputer scienceLaw

Abstract

fetched live from OpenAlex

The supply chain of MSME products in the context of export penetration is very important, but MSME actors have not been able to meet all export needs. This study aims to: 1) analyze the supply chain of MSMEs in the context of export penetration in the era of the covid-19 pandemic, and 2) examine the potential of MSMEs to develop in terms of corporate legality, industrial design, and brand registration, as well as the use of digital marketing. This research method was quantitative research with survey approach and normative empirical study. The population of this study was 134 MSMEs, samples from 63 MSMEs in Central Java (Brebes), West Java (Bogor), and the Special Region of Yogyakarta (Bantul). Quantitative data analysis used Structural Equation Modeling (SEM) approach and analyzed with Smart PLS 3.3 software. The results of the study show: 1) the supply chain needs of MSMEs in penetrating the export market in the era of the covid-19 pandemic are very difficult; 2) MSMEs must be able to meet all export needs to create a balanced supply chain, 3) in order to prepare export-oriented MSMEs, they must first motivate and educate, establish policies that support their legality and export management.

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)0.001
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 score0.231
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.026
GPT teacher head0.280
Teacher spread0.254 · 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