The effect of digital marketing and e-commerce on financial performance and business sustaina-bility of MSMEs during COVID-19 pandemic in Indonesia
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 purpose of this study is to analyze the effects of digital marketing (DM), e-commerce (EC), business sustainability (BS) and financial performance (FP) of Micro, Small and Medium Enterprises (MSMEs) during Pandemic Covid19 in Indonesia. The relationships between digital marketing and business sustainability, e-commerce and business sustainability, digital marketing and financial performance, e-commerce and financial performance, financial performance and business sustainability are investigated. This research is quantitative research with a questionnaire approach. Data processing tools use the SmartPLS 3.3.3 software. The primary data collection method was accomplished by distributing online questionnaires to 120 MSMEs in Banten Indonesia who had experienced the pandemic. The results show that digital marketing had significant effect on business sustainability, e-commerce had significant effect on business sustainability, digital marketing had significant effect on financial performance. However, e-commerce had no significant effect on financial performance, financial performance had no significant effect on business sustainability, digital marketing had no significant effect on business sustainability through financial performance, e-commerce had no significant effect on business sustainability through financial performance. The use of digital marketing has been carried out to increase customer awareness. Marketplace as a manifestation of e-commerce is used as an innovation or change in sales methods.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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