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Record W3168862617 · doi:10.5267/j.ac.2021.5.015

The effects of corporate social responsibility and practices on the performance of SMEs in Vietnam

2021· article· en· W3168862617 on OpenAlexvenueno aff
Thai Thi Kim Oanh, Đao Quang Thang, Nguyễn Thị Thu Cúc, Đang Thanh Cuong, Ho Thi Dieu Anh

Bibliographic record

VenueAccounting · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityBusinessWelfareHuman rightsSocial WelfareAccountingPublic relationsMarketingPolitical scienceEconomicsMarket economy

Abstract

fetched live from OpenAlex

Corporate social responsibilities (CSR) have gained the attention of regulators and recent studies due to their comprehensive influence on the firm performance. Thus, the present study examines the impact of CSR practices such as social welfare, human rights and physical environment on SMEs performance in Vietnam. This research also investigates the mediating role of organizational support among the links of social welfare, human rights, the physical environment and SMEs performance in Vietnam. This study has followed the primary data collection methods such as survey questionnaires to collect the data from respondents and also executed the smart-PLS for analysis. The results indicated the social welfare, human rights and physical environment have a positive association with SMEs performance in Vietnam. The results also exposed that organizational support positively mediates among the links of social welfare, human rights, the physical environment and SMEs performance in Vietnam. This study guided the regulators while developing the regulations related to CSR and 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.281
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), 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
Published2021
Admission routes1
Has abstractyes

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