Investigating the influence of financial literacy and supply chain management on the financial performance and sustainability of SMEs
Bibliographic record
Abstract
The aim of this research is to analyze the relationship between financial literacy and financial performance, the relationship between financial literacy and the sustainability of SMEs, the relationship between supply chain management and financial performance, the relationship between supply chain management and the sustainability of SMEs, and financial performance with the sustainability of SMEs. This research method is a quantitative survey, the research data was obtained by distributing online questionnaires to 740 SMEs owners in Indonesia. Data analysis used structural equation modeling (SEM) with SmartPLS 3.0 software tools. The stages of data analysis are validity, reliability and significance tests. The sampling technique used is non-probability sampling. The questionnaire used in this study uses the Google form, distributed to respondents. The measurement method for this questionnaire uses a Likert scale of 5, namely Strongly Disagree (STS), (2) Answers Disagree (TS), (3) Neutral Answers (N), (4) Answers Agree (S), Strongly Agree (SS). The independent variables used in this study are as follows: Financial literacy, supply chain management, the dependent variables used in this study are sustainability and financial performance. The results of this research indicate that financial literacy had a positive and significant effect on financial performance, financial literacy had a positive and significant effect on sustainability, supply chain management had a positive and significant effect on financial performance, supply chain management had a positive and significant effect on sustainability, financial performance had a positive and significant effect on sustainability. The novelty of this research is that it found a correlation model of the relationship between the variables of financial literacy, supply chain management, financial performance and sustainability in SMEs which did not exist in previous research studies.
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.
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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".