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Record W2562686019 · doi:10.5539/ijef.v9n1p55

The Impact of Sustainability on the Financial Performance of Jordanian Islamic Banks

2016· article· en· W2562686019 on OpenAlexvenueno aff
Ali Abdelfattah Hamdan Zyadat

Bibliographic record

VenueInternational Journal of Economics and Finance · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityIslamReturn on equityBusinessAccountingShareholderReturn on assetsRevenueEquity (law)Dimension (graph theory)FinanceFinancial systemEconomicsCorporate governance

Abstract

fetched live from OpenAlex

The study looked into the effect of the three dimensions of sustainability (economic dimension, environmental dimension, and social dimension) on the financial performance of Jordanian Islamic banks represented by (return on assets, return on equity, and earnings per share) during the period (2008-2014). The study sample contained two main Islamic banks in Jordan, namely: Jordan Islamic Bank and Arab Islamic Bank. Required data was collected from the annual reports, financial statements, sustainability reports, and social responsibility reports of the Jordanian Islamic banks from (2008-2014). Items for the dimensions of sustainability were determined, and their level of exercise was measured, by analyzing the content of these reports (content analysis), as well as the financial indicators of financial performance, which have been extracted from the financial statements of the surveyed banks. The study results have shown the presence of a statistically significant effect of the dimensions of sustainability on the financial performance measured by ROA and EPS in the Jordanian Islamic banks. However, there was no statistically significant effect of the dimensions of sustainability on the financial performance as measured by ROE in those banks. Finally, the study has encouraged Islamic banks to adopt a rational and prudent investment and financial policies, make proper operational decisions to generate revenue, maximize profits, and achieve shareholder objectives, issue sustainability reports to discover if goals and activities are compatible to the goals and interests of society and the environment, and increase their interest in sustainability.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.274
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), 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

Citations35
Published2016
Admission routes1
Has abstractyes

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