The influence of tangible resources and operational performance to promote financial performance of electronic industry
Bibliographic record
Abstract
The objective of this study is to examine the role of tangible resources and operational performance (OP) in the financial performance (FP). This study examined the relationship between tangible resources, OP, supply chain, profitability and sustainable FP. Furthermore, this study examined the mediation effect of supply chain and profitability. Indonesian electronic companies were selected in the current study for data collection. Therefore, the population is grounded on the Indonesian electronic companies and data were collected from the employees of these companies. 600 questionnaires were used in this study for data collection and 350 questionnaires were returned to analyze the data. Data analysis was carried out through Structural Equation Modeling (SEM). Results of the study highlighted that resources are the major role in FP. Particularly, the tangible resources of the company are vital to enhance the performance in financial terms. Tangible resources have a positive effect on OP, supply chain and profitability. Furthermore, OP has a positive effect on supply chain and profitability which further increases the FP.
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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 | 0.002 | 0.009 |
| 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 | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".