Search Results - subject:"Predictive models"

Using big data for demand forecasting and dynamic pricing

Zelenyi, Dmytro - In: Economic forum 15 (2025) 2, pp. 45-55

predictive models revealed the highest effectiveness of the LSTM network among individual models (R2 = 0.874, MAPE = 6.83%) and …

Persistent link: https://www.econbiz.de/10015438778

Data-driven quality improvement in woven wire mesh production using machine learning algorithms

Kritsada Wongwan; Wimalin Laosiritaworn - In: Journal of industrial engineering and management : JIEM 18 (2025) 3, pp. 527-552

Purpose: This paper aims to purpose a data-driven quality improvement (DDQI) framework for improving production quality by analyzing existing data using machine learning, data visualization, and correlation analysis. The objective is to predict optimal machine settings for different batches of...

Persistent link: https://www.econbiz.de/10015627264

Using big data for demand forecasting and dynamic pricing

Zelenyi, Dmytro - In: Economic Forum 15 (2025) 2, pp. 45-55

predictive models revealed the highest effectiveness of the LSTM network among individual models (R2 = 0.874, MAPE = 6.83%) and …

Persistent link: https://www.econbiz.de/10015439579

Machine learning technique to compute climate risk in finance

Ferrara, Massimiliano; Ciano, Tiziana; Capriotti, Alessio; … - 2024

Persistent link: https://www.econbiz.de/10015328859

A machine learning approach to predict bankruptcy in Chinese companies with ESG integration

Mehwish Kaleem; Hashim Jusoh; Raza, Hassan; Misbah Sadiq; … - In: Pakistan journal of commerce and social sciences 18 (2024) 2, pp. 335-357

In this scholarly investigation, we meticulously assess the effectiveness of Environmental, Social, and Governance (ESG) metrics in predicting financial hardship across a cohort of 3,111 publicly traded companies on the Chinese stock exchange from 2012-2022. This study employs Python software...

Persistent link: https://www.econbiz.de/10014634902

Stop auditing and start to care : paradigm shift in assessing and improving supplier sustainability

Tan, Tarkan; Akyüz, M. Hakan; Urlu, Bengisu; Ruiz, Santiago - In: INFORMS journal on applied analytics 54 (2024) 3, pp. 241-263

Persistent link: https://www.econbiz.de/10014567139

A machine learning approach to predict bankruptcy in Chinese companies with ESG integration

Raza, Hassan - In: Pakistan Journal of Commerce and Social Sciences (PJCSS) 18 (2024) 2, pp. 335-357

Persistent link: https://www.econbiz.de/10015048698

Transforming global supply chains with artificial intelligence, machine learning, and next-generation technologies

Liew, Natasya; Pattnaik, Sarthak; Kures, Ali Ozcan; … - In: Next Generation Entrepreneurship : Convergence of …, (pp. 207-234). 2026

Persistent link: https://www.econbiz.de/10015616696

Who will dominate the global fossil fuel trade?

Ostadzadeh, Ershad; Elshorbagy, Amin; Tuninetti, Marta; … - In: Economic systems research 35 (2023) 3, pp. 354-375

Persistent link: https://www.econbiz.de/10014340023

A score function to prioritize editing in household survey data : a machine learning approach

Forteza, Nicolás; García-Uribe, Sandra - 2023

Persistent link: https://www.econbiz.de/10014419467

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