Proposing a Multidimensional Bankruptcy Prediction Model: An Approach for Sustainable Islamic Banking

被引:7
|
作者
Mehreen, Mehreen [1 ]
Marimuthu, Maran [1 ]
Karim, Samsul Ariffin Abdul [2 ,3 ]
Jan, Amin [1 ]
机构
[1] Univ Teknol PETRONAS, Dept Management & Humanities, Seri Iskandar 32610, Perak, Malaysia
[2] Univ Teknol PETRONAS, Fundamental & Appl Sci Dept, Seri Iskandar 32610, Perak, Malaysia
[3] Univ Teknol PETRONAS, Ctr Smart Grid Energy Res CSMER, Inst Autonomous Syst, Seri Iskandar 32610, Perak, Malaysia
关键词
bankruptcy prediction; financial performance; Islamic banking; sustainability; Shariah governance; CORPORATE SOCIAL-RESPONSIBILITY; FINANCIAL RATIOS; CONVENTIONAL BANKS; DISCRIMINANT-ANALYSIS; EMPIRICAL-EVIDENCE; CREDIT RISK; PERFORMANCE; GOVERNANCE; DISCLOSURE; INSTITUTIONS;
D O I
10.3390/su12083226
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The main purpose of this study is to conceptualize a sustainable banking model for Islamic banking by blending three essential business aspects namely financial performance, Islamic corporate governance, and sustainability practices dimension. In the case of Islamic banking, evidence shows that a Shariah-based bankruptcy prediction model for apprehending the true bankruptcy prediction is over-sighted. This study offers an efficient Shariah-based bankruptcy prediction model by first, reviewing the previously applied conventional bankruptcy prediction models; secondly, by developing and proposing a robust, multidimensional model for predicting bankruptcy in Islamic banking. This framework may have profound implications on the existing bankruptcy evaluation structure of the Islamic banking industry and may provide a strong sustainability management guideline to the global Islamic banking industry.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Differential impact of adopting Islamic banking: A quasi-experimental approach
    Saleem, Adil
    Zahid, R. M. Ammar
    Sagi, Judit
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2025, 76
  • [22] Tri-XGBoost model improved by BLSmote-ENN: an interpretable semi-supervised approach for addressing bankruptcy prediction
    Smiti, Salima
    Soui, Makram
    Ghedira, Khaled
    KNOWLEDGE AND INFORMATION SYSTEMS, 2024, 66 (07) : 3883 - 3920
  • [23] An integrative model with subject weight based on neural network learning for bankruptcy prediction
    Cho, Sungbin
    Kim, Jinhwa
    Bae, Jae Kwon
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (01) : 403 - 410
  • [24] A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction
    Tang, Yajiao
    Ji, Junkai
    Zhu, Yulin
    Gao, Shangce
    Tang, Zheng
    Todo, Yuki
    COMPLEXITY, 2019, 2019
  • [25] Data analytic approach for bankruptcy prediction
    Son, H.
    Hyun, C.
    Phan, D.
    Hwang, H. J.
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 138
  • [26] Analysis of the Bankruptcy Prediction Model in the Present Economic Situation
    Ratiu, Crina
    Bucerzan, Dominic
    Craciun, Mihaela
    SOFT COMPUTING APPLICATIONS, 2013, 195 : 625 - 635
  • [27] A Bayesian approach to logistic regression for bankruptcy prediction of trading companies under uncertainty conditions
    Arneric, Josip
    Mocan, Matteo
    EKONOMSKI PREGLED, 2025, 76 (01): : 15 - 34
  • [28] Bankruptcy Prediction Using Cerebellar Model Neural Networks
    Chung, Chang-Chih
    Chen, Tsung-Shih
    Lin, Lee-Hsuan
    Lin, Yu-Chen
    Lin, Chih-Min
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2016, 18 (02) : 160 - 167
  • [29] An intelligent bankruptcy prediction model using a multilayer perceptron
    Brenes, Raffael Forch
    Johannssen, Arne
    Chukhrova, Nataliya
    INTELLIGENT SYSTEMS WITH APPLICATIONS, 2022, 16
  • [30] On intellectual capital efficiency and shariah governance in Islamic banking business model
    Nawaz, Tasawar
    Haniffa, Roszaini
    Hudaib, Mohammad
    INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2021, 26 (03) : 3770 - 3787