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Record W2756767647 · doi:10.5430/afr.v6n4p164

Sustainability of Banking Sectors in Bangladesh: A Study Based on Emerging Role of Corporate Governance, Corporate Social Responsibility and Intellectual Capital Disclosure

2017· article· en· W2756767647 on OpenAlexvenueno aff
Niaz Mohammad, Md. Joynal Abedin, Asif Rahman

Bibliographic record

VenueAccounting and Finance Research · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Capital and Performance Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityBusinessSustainabilityCorporate governanceIntellectual capitalAccountingCapital (architecture)Affect (linguistics)Sustainable developmentPrivate capitalFinanceEconomicsPublic relations

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.301
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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