Machine Learning and Financial InvestmentGame Changers for Circular Business Models – EU Performance Score Analysis

Mohsin Elahi Muhammad; Ur Rehman Zahid; Abdullah Hassan Muhammad

Article Details

Machine Learning and Financial InvestmentGame Changers for Circular Business Models – EU Performance Score Analysis

Authors:

Mohsin Elahi Muhammad | Ur Rehman Zahid | Abdullah Hassan Muhammad

Publisher:

Université Oran 2 Mohamed Ben Ahmed Oran

Journal:

Advanced Research in Economics and Business Strategy Journal Vol.6 Issue 1, pp.12-29

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001542417

pISSN:

2773-3807

Keywords:

Abstract:

 The paper explores the methods in which Circular Material Use Rates (CURMs), Financial Investment (FI), and Machine Learning (ML) influence the performance of Circular Business Models (COP) in the EU by examining case studies from three groups: Leaders, Paradoxes, and Laggards. Leaders use ML to mitigate waste; however, they must also develop novel technologies (like quantum-driven recyclables) to compensate for compensating declining CURM reappears. GGI and CMUR enhance COP and contribute to sustainability initiatives by encouraging resource optimization and green practices. At the same time, this group uses ML as its primary instrument to boost COP due to its willingness to integrate modern technologies swiftly. For paradoxes to prevail over structural inefficiencies, FI must be reallocated ahead of digital integrity and AI-enhanced hybridization. To find ways to modernize infrastructure, laggards rely on EU government green initiatives (GGI) and decentralized models (e.g., solely resource cycles). The research promotes the implementation of adaptive policies, including AI sandboxes, transferring risk funds, and legitimate governance, to ensure that interruptions in technology, financial flexibility, and egalitarian transitioning are balanced. These insights enable the EU to establish a model for broad, high-performance circular economies.

Article Details

Machine Learning and Financial InvestmentGame Changers for Circular Business Models – EU Performance Score Analysis

Authors:

Mohsin Elahi Muhammad | Ur Rehman Zahid | Abdullah Hassan Muhammad

Publisher:

Université Oran 2 Mohamed Ben Ahmed Oran

Journal:

Advanced Research in Economics and Business Strategy Journal Vol.6 Issue 1, pp.12-29

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001542417

pISSN:

2773-3807

Machine Learning

Financial Investment

Circular Business Models

EU Policy

Sustainability

Performance Scores

Issues

Article Details

Machine Learning and Financial InvestmentGame Changers for Circular Business Models – EU Performance Score Analysis

Authors: Mohsin Elahi Muhammad | Ur Rehman Zahid | Abdullah Hassan Muhammad

Publisher: Université Oran 2 Mohamed Ben Ahmed Oran

Journal: Advanced Research in Economics and Business Strategy Journal Vol.6 Issue 1, pp.12-29

Document Type: Article

Publication Date: 6/2025

Document Language: English

Document ID (Org No.): 2001542417

pISSN: 2773-3807

Machine Learning

Financial Investment

Circular Business Models

EU Policy

Sustainability

Performance Scores

Issues

Authors:

Mohsin Elahi Muhammad | Ur Rehman Zahid | Abdullah Hassan Muhammad

Publisher:

Université Oran 2 Mohamed Ben Ahmed Oran

Journal:

Advanced Research in Economics and Business Strategy Journal Vol.6 Issue 1, pp.12-29

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001542417

pISSN:

2773-3807