A model for the business performance of micro, small and medium enterprises: Perspective of social commerce and the uniqueness of resource capability in Indonesia
Bibliographic record
Abstract
The speed of progress in information technology has evolved continuously and has changed the way entrepreneurship is carried out in running its business.The rapidity of internet users also influences economic development indicated by the shifting of the idea of buying and selling transactions, which previously emphasized face to face, now it is more comfortable and done without face to face or known online.This study aims to provide an overview and examine the use of social commerce, the uniqueness of resource capabilities and competitive advantage in influencing the business performance of MSMEs in Jambi Province.The study also explores the competitive advantage of mediating social commerce and the uniqueness of resource capacity to the business performance of MSMEs in Jambi Province.This research was conducted in three districts in the Jambi Province, namely Jambi city, Tanjung Jabung Barat district, and Sungaipenuh city.The research method used is quantitative research and verification with Smart PLS application version 3.0.The unit of analysis of this study is MSMEs with an observation unit that is the manager of MSMEs businesses in the three locations of research objects.The number of respondents used was 150 selected MSMEs business units from two cities and one district, namely Jambi city, Sungai Penuh city, and Tanjung Jabung Barat District, representing Jambi Province.The results show that social commerce had a significant influence on competitive advantage.Still, on the other hand, it shows that the uniqueness of resource capabilities did not have any substantial impact on competitive advantage.Social commerce did not have any significant effect on the business performance of MSMEs in Jambi Province, as well as the uniqueness of resource capabilities, apparently not significantly influenced the business performance of MSMEs in Jambi Province.On the contrary, competitive advantage can control MSMEs Business performance in Jambi Province.However, the model of social commerce utilization and the uniqueness of resource capabilities affect the business performance of MSMEs in Jambi Province, mediated by competitive advantage.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".