Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review

A Xu, H Chang, Y Xu, R Li, X Li, Y Zhao - Waste Management, 2021 - Elsevier
Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …

Systematic review of financial distress identification using artificial intelligence methods

D Kuizinienė, T Krilavičius… - Applied Artificial …, 2022 - Taylor & Francis
The study presents a systematic review of 232 studies on various aspects of the use of
artificial intelligence methods for identification of financial distress (such as bankruptcy or …

Prediction of financial distress in the Spanish banking system: An application using artificial neural networks

J Paule-Vianez, M Gutiérrez-Fernández… - Applied Economic …, 2020 - emerald.com
Purpose The purpose of this study is to construct the first short-term financial distress
prediction model for the Spanish banking sector. Design/methodology/approach The …

Financial compass for Slovak enterprises: modeling economic stability of agricultural entities

K Valaskova, P Durana, P Adamko, J Jaros - Journal of Risk and …, 2020 - mdpi.com
The risk of corporate financial distress negatively affects the operation of the enterprise itself
and can change the financial performance of all other partners that come into close or wider …

Analisis perbedaan kinerja perusahaan sebelum dan saat pandemi covid-19

C Hilman, K Laturette - BALANCE: Jurnal Akuntansi …, 2021 - ejournal.atmajaya.ac.id
This study aims to determine differences in the performance of the profitability ratio (ROA),
sales growth ratio (SG), liquidity ratio (CR) and leverage ratio (DER) to bankruptcy prediction …

The impact of sustainability practices on the going concern of the travel and tourism industry: Evidence from developed and develo** countries

N Nagendrakumar, KNN Alwis, UAK Eshani… - Sustainability, 2022 - mdpi.com
Sustainability refers to the evaluation and communication of quantitative and qualitative
information of the sustainability performance of a business in a balanced way regarding the …

Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries

K Valaskova, D Gajdosikova, J Belas - Oeconomia Copernicana, 2023 - ceeol.com
Research background: Effective monitoring of financial health is essential in the financial
management of enterprises. Early studies to predict corporate bankruptcy were published at …

[PDF][PDF] Fostering creativity through servant leadership: Mediating role of knowledge sharing, thriving at work and burnout

AA Sheikh, Q Ishaq, A Inam - Abasyn Journal of Social Sciences, 2019 - researchgate.net
Today, innovation and its association with leadership are dubiously one of the key
challenges faced by the Pakistani banking sector. However, lack of investigation on this …

Early Insolvency Prediction as a Key for Sustainable Business Growth

D Kušter, B Vuković, S Milutinović, K Peštović, T Tica… - Sustainability, 2023 - mdpi.com
This research aimed to determine whether and how financial analysis combined with
machine learning can support decision-making for sustainable business growth. This study …

[PDF][PDF] Are Indonesian construction companies financially distressed? A prediction using artificial neural networks

FT Kristanti, Z Safriza, DF Salim - Investment …, 2023 - businessperspectives.org
Construction companies are very dependent on the projects carried out by a company.
Therefore, measuring whether a company is distressed or non-distressed can be done by …