MétaCan
Menu
Back to cohort
Record W4381052825 · doi:10.52711/2321-5763.2023.00011

A Study on Public Sector Banks and Private Sector Banks: Customer Usage of Green Banking Initiatives – A Special Reference TO Internet Banking

2023· article· en· W4381052825 on OpenAlexaboutno aff
M. Narayanan, S. Chandrasekaran

Bibliographic record

VenueAsian Journal of Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsRetail bankingBusinessQuarter (Canadian coin)MarketingDiversification (marketing strategy)Banking industryPrivate sectorThe InternetFinanceEconomic growthEconomics

Abstract

fetched live from OpenAlex

This Paper Provides an outline of in experienced banking initiatives as an emerging trend for banking enterprise in India. The banking quarter systematic upgrade and blessings for banking system. The Indian banking region provide services in clients. The economic improvement and aggressive economic help with public area banks and private area banks in southern districts of Tamilnadu. The customer’s cognizance and utilization of green banking initiatives to evaluate the practices and progress of the banking sports in sustainable development of banking quarter. The fundamental goals of the have a look at the purchaser usage of green banking projects and consciousness of the services. The have a look at conceptual evaluation that green banking initiatives across the sustainable improvement of the banking quarter. The inexperienced banking offerings and tasks cognizance and conceptual sustainable increase environmental activities. The examine subsequently concludes the banking zone greater than awareness programme and projects associated activities. It diversification of sports in green banking projects have lot extra efforts from banking area in each public sector and private area banks in the examine vicinity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.257
Teacher spread0.220 · 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.

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

Citations7
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAsian Journal of ManagementSame topicEnvironmental Sustainability in BusinessFrench-language works237,207