Harnessing Big Data and AI for Predictive Insights: Assessing Bankruptcy Risk in Indonesian Stocks DOI
Maureen Marsenne, Tubagus Ismail, Muhamad Taqi

et al.

Data & Metadata, Journal Year: 2024, Volume and Issue: 3

Published: Dec. 31, 2024

Introduction: This research aims to investigate the use of financial Big Data and artificial intelligence (AI) in predicting bankruptcy risk companies listed on Indonesia Stock Exchange (BEI), with Altman Z-Score model as main framework. Objective: In this research, an intervening variable form data quality is introduced assess role mediation increasing accuracy predictions.. Method: The method used quantitative analytical Structural Equation Modeling Partial Least Squares (SEM-PLS), which allows analysis relationship between independent variables (Big AI), (quality data), dependent (bankruptcy prediction). Result: results show that integration AI significantly increases company predictions IDX, acting strengthens relationship. influence prediction through has also been proven provide more precise faster compared conventional model. Conclusion: These findings confirm a key factor must be considered optimizing capital market. implications for development technology (Fintech) management strategies public companies, especially identifying risks effectively by utilizing latest technology.

Language: Английский

A novel framework designed by MMS-UNet and DK-SAC for the smart systems of the traditional Chinese medicine manufacturing DOI
Zhongxin Chen, Yu Chen, Yongwei Tang

et al.

Journal of Engineering Design, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: March 5, 2025

Language: Английский

Citations

0
NK model simulation study of intelligent manufacturing transformation path selection in pharmaceutical manufacturing enterprises DOI Creative Commons
Wei Zhu,

Ping Ouyang,

Xue Ke

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 23, 2024

Under the wave of Industry 4.0, traditional pharmaceutical manufacturing enterprises are in urgent need intelligent transformation and upgrading, exploring optimal realization path can help accelerate process enterprises. This paper uses grounded theory research methods to conduct a multi-case study summarize six influencing factors Chinese enterprises; then analyzes correlation between based on DEMATEL method NK model, identifies key according this, draws fitness landscape map transformation, finally arrives at selection The enriches extends paradigm provides lessons for realize upgrading.

Language: Английский

Citations

1
Harnessing Big Data and AI for Predictive Insights: Assessing Bankruptcy Risk in Indonesian Stocks DOI
Maureen Marsenne, Tubagus Ismail, Muhamad Taqi

et al.

Data & Metadata, Journal Year: 2024, Volume and Issue: 3

Published: Dec. 31, 2024

Introduction: This research aims to investigate the use of financial Big Data and artificial intelligence (AI) in predicting bankruptcy risk companies listed on Indonesia Stock Exchange (BEI), with Altman Z-Score model as main framework. Objective: In this research, an intervening variable form data quality is introduced assess role mediation increasing accuracy predictions.. Method: The method used quantitative analytical Structural Equation Modeling Partial Least Squares (SEM-PLS), which allows analysis relationship between independent variables (Big AI), (quality data), dependent (bankruptcy prediction). Result: results show that integration AI significantly increases company predictions IDX, acting strengthens relationship. influence prediction through has also been proven provide more precise faster compared conventional model. Conclusion: These findings confirm a key factor must be considered optimizing capital market. implications for development technology (Fintech) management strategies public companies, especially identifying risks effectively by utilizing latest technology.

Language: Английский

Citations

0