Unveiling How Digital Finance Enhances Sustainability-Oriented Organizational Performance: Insight into Mediating Role of Heterogeneous Technological Progress and Green Innovation
Bibliographic record
Abstract
This research sets its sight to conceptualize and verify a model that emphasizes relationship between digital finance (DF) and Sustainability-Oriented Organizational Performance (SOP).Outstandingly, it makes many attempts to deepen insight into the mediation mechanisms of Heterogeneous Technological progress (HTP) and Green innovation (GI) in proposed model's postulated constructs.Statistical database was compiled from a paper and pencil survey distributed to a sample of respondents through convenient and snowballing approach.Twostep methodology with SEM was utilized to weigh the measurement and structural models.Results substantiated the markedly positive interconnection between DF and SOP.Its findings and insights learnt from this study would be useful to practitioners looking for sustainable solutions on the route to become innovative businesses.On the other hand, the observations would provide fresh insights to practitioners and policymakers to develop focused strategies in terms of HTP and GI and enact laws and regulations in terms of DF.
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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 | 0.003 | 0.007 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".