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Record W4401482703 · doi:10.30588/jmp.v13i2.1691

Faktor-faktor yang Memengaruhi Ketrampilan Digital Karyawan bagi UMKM untuk Naik Kelas

2024· article· en· W4401482703 on OpenAlex
Gusti Made Cahyani Petrisia, Christantius Dwiatmadja, Agung Novianto Margarena, Edward Manoppo

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

VenueJurnal Maksipreneur Manajemen Koperasi dan Entrepreneurship · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicVocational and Entrepreneurial Education
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychologyTheologyPhilosophy

Abstract

fetched live from OpenAlex

This research aims to find out how technology adoption factors mediate information compatibility, organizational and environmental factors, and their influence on employee digital skills for MSMEs to advance to class. This research uses a descriptive method using a quantitative approach. Where primary data was obtained by distributing questionnaires via Google forms with a sample of 45 respondents from the total permanent employees at Naruna Keramik Salatiga. This research uses outer relation data analysis techniques or measurement models. The results of this research show that the technology adoption factor mediates the significant influence of information compatibility and organization on digital skills. Technology adoption cannot mediate the significant influence of the environment on digital skills. Information compatibility and organization have a direct influence on digital skills. The environment does not have a direct influence on digital skills.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.306
Teacher spread0.282 · 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