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Record W4399140080 · doi:10.18280/ijsdp.190530

The Impact of Social and Political Capital on the Sustainability of MSMEs in the Era of Economic and Digital Disruption

2024· article· en· W4399140080 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

VenueInternational Journal of Sustainable Development and Planning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityPoliticsSocial capitalBusinessNatural resource economicsSocial sustainabilityCapital (architecture)Economic systemEconomic growthEconomic policyDevelopment economicsEconomicsAgricultural economicsPolitical scienceGeography

Abstract

fetched live from OpenAlex

The purpose of this study is to determine the impact of social and political capital on the sustainability of MSMEs in the Era of Economic and Digital Disruption.The technique in this exploration utilizes a blended strategy research approach, in particular a mix of subjective and quantitative.It is hoped that the existing hypotheses can work in conjunction with one another by employing a combined approach.Qualitative methods always employ scientific logic, whereas quantitative methods always place an emphasis on process analysis of inductive thinking processes related to the dynamics of relationships between observed phenomena.The stages are: (1).Observing social phenomena, identifying, revising, and re-checking existing data; (2).Categorize the information obtained; (3).Tracing and explaining categorization; (4).Explain the categorization relationship; (5).Draw general conclusions; (6).Building or explaining a theory.The population in this study was all cooperatives, MSME centers, MSME clusters, and MSME groups that had digitized in facing the era of economic and digital disruption.The population is 380 MSMEs.Using the Slovin formula, then, a total of 192 MSMEs were sampled with various business backgrounds.The results of this study are: (1) that MSMEs use social capital in facing the era of economic and digital disruption with cooperatives as an intervening variable that have a significant positive effect; (2) that MSMEs use social capital in facing the era of economic and digital disruption with MSME centers as an intervening variable has a significant positive effect; (3) that MSMEs use social capital in facing the era of economic and digital disruption with the MSME Cluster as an intervening variable have no significant positive effect; (4) that MSME uses social capital in facing the era of economic and digital disruption with the MSME group as a variable intervening No significant positive effect; (5) that MSMEs use political capital in facing the era of economic and digital disruption with cooperatives as an intervening variable No significant positive effect; (6) that MSMEs use political capital in facing the era of economic and digital disruption with MSME centers as the intervening variable has a significant positive effect; (7) that MSMEs use political capital in facing the era of economic and digital disruption with the MSME cluster as an intervening variable have no significant positive effect; (8) that MSMEs use political capital in facing the era of economic and digital disruption with MSMEs groups as an intervening variable have a significant positive effect.This study concludes that social and political capital has an important role in the sustainability of MSMEs in the Era of Economic and Digital Disruption, especially in cooperatives, MSME centers, MSME clusters, and MSME groups.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.015
GPT teacher head0.325
Teacher spread0.310 · 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