The impact of SNS marketing use on women entrepreneurs in the new normal era
Bibliographic record
Abstract
The goal of this research was to see how network site marketing (SNS marketing) affected marketing performance in terms of customer relationship management (CRM) and marketing capabilities. This research was conducted with a quantitative approach. The population in this study are all female entrepreneurs who use SNS marketing in Bali. The sample is 260 MSMEs taken by purposive sampling. The data will be analyzed descriptively and inferentially. The inferential statistic used is Structural Equation Modeling (SEM) based on variance, namely Partial Least Square (SEM PLS) with SmartPLS 3.0 program. The research findings are that SNS marketing use has a positive and significant effect on CRM capability and marketing capability, CRM capability and marketing capability have a positive and significant effect on business performance, CRM capability and marketing capability as partial mediation influences SNS marketing use on business performance. This research implies that it is expected to help MSMEs in making decisions regarding the use of SNS marketing.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".