The impact of SNS marketing use on women entrepreneurs in the new normal era
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.
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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it