Sustainability of Banking Sectors in Bangladesh: A Study Based on Emerging Role of Corporate Governance, Corporate Social Responsibility and Intellectual Capital Disclosure
Bibliographic record
Abstract
Now-a-day’s businesses are highly concerned about the operations and how their activities affect the surroundings. Aiming to create better environment for the future generations, a number of steps has been taken by various local and international associations and bodies. Recently three of the components such as Corporate Governance (CG), Corporate Social Responsibility (CSR) and Intellectual Capital (IC) Disclosure has grab the major attention and maintained with an important manner. CG, CSR and IC disclosure are three of the most talkative prospects which have direct effects towards sustainability. Private Commercial banking sector is one of the most popular and growing segments in Bangladesh. Governed and monitored by the Bangladesh Bank, those banks contribute highly towards national economy. As a result, various components of sustainability are effectively maintained by the banks. This paper shows how CG, CSR and IC disclosure affect the sustainable practice of the private commercial banking sector in Bangladesh. It also relates various components and shows ways to improve the sustainable practice in the banking sectors.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".