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Record W3203252461 · doi:10.5267/j.ac.2021.7.007

Factors affecting SMEs’ development in Vietnam

2021· article· en· W3203252461 on OpenAlex
Đặng Thị Hương, Vu Viet Ninh, Nguyen Dinh Hoan, Dinh Quang Toan, Nguyễn Thị Hồng Vân, Dang Thi Lan

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

VenueAccounting · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessGovernment (linguistics)Production (economics)Position (finance)Consumption (sociology)Industrial organizationEconomic systemEconomic growthEconomics

Abstract

fetched live from OpenAlex

The enterprise's system, along with households and the government are the main factors in the production and consumption of the economy, which plays an extremely important role in the development of any country. Besides the large enterprises, which are often considered as the locomotives of the economy’s development, people are increasingly interested in a significant number of small and medium enterprises (SMEs) whose position and role has been confirmed through the actual economic development of many countries and economies. In Vietnam, the development of SMEs has been creating a driving force for economic growth and has become an important strategic direction in the country’s socio-economic development strategy. The article focuses on determining the factors affecting the development of small and medium-sized manufacturing enterprises in Vietnam. At the same time, the current paper evaluates factors affecting the development of these enterprises. The main factors expected to be focused on in the research include the level of production technology, government policies, raw materials, labor, management capacity, corporate social responsibility, green growth orientation, and global epidemics.

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 score0.060
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.047
GPT teacher head0.220
Teacher spread0.173 · 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