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Record W3110876432 · doi:10.5267/j.ac.2020.11.023

Sustainable business Islamic banks in Indonesia

2020· article· en· W3110876432 on OpenAlexvenueno aff
Indra Siswanti, Yohanes Fery Cahaya

Bibliographic record

VenueAccounting · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceSustainable businessBusinessIslamSustainable developmentIntellectual capitalAccountingFinanceSustainability

Abstract

fetched live from OpenAlex

The purpose of this study is to create a sustainable business model of Islamic banks in Indonesia through financial and non-financial aspects with financial performance as a mediate variable. The study uses quantitative approach by collecting secondary data of Islamic Banks from financial statements and annual reports over the period 2010-2018. The population of this study is 9 (nine) Islamic banks and the sample of research uses the census method. Data processing methods uses Partial Least Square. The results of the study stated that corporate governance has a significant effect on financial performance, intellectual capital has a significant effect on financial performance and company size has a significant effect on financial performance, but corporate governance has no effect on sustainable business. In addition, intellectual capital has a significant effect on sustainable business but company size has no effect on sustainable business. Moreover, financial performance has a significant effect on sustainable business, financial performance mediated the effect of corporate governance on sustainable business, financial performance partially mediated the effect of intellectual capital on sustainable business and financial performance mediated the effect of company size on sustainable business.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.211
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.200
Teacher spread0.189 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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