The Impact of Social and Political Capital on the Sustainability of MSMEs in the Era of Economic and Digital Disruption
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".