Sustainable business decision modelling with blockchain and digital twins: A survey
Gyan Wickremasinghe, Siofra Frost, Karen Rafferty, Vishal Sharma

TL;DR
This survey explores how blockchain and digital twins can enhance sustainable business decision modelling by analyzing current research, evaluating sustainability features, and demonstrating practical interoperability through a supply chain case study.
Contribution
It provides a comprehensive review of blockchain and digital twin integration in sustainable BDM, including taxonomies, comparative evaluations, and research directions.
Findings
Blockchain and digital twins improve transparency and security in BDM.
Sustainability features impact resource optimization and stakeholder engagement.
Interoperability demonstrated in a supply chain case study.
Abstract
Industry 4.0 and beyond will rely heavily on sustainable Business Decision Modelling (BDM) that can be accelerated by blockchain and Digital Twin (DT) solutions. BDM is built on models and frameworks refined by key identification factors, data analysis, and mathematical or computational aspects applicable to complex business scenarios. Gaining actionable intelligence from collected data for BDM requires a carefully considered infrastructure to ensure data transparency, security, accessibility and sustainability. Organisations should consider social, economic and environmental factors (based on the triple bottom line approach) to ensure sustainability when integrating such an infrastructure. These sustainability features directly impact BDM concerning resource optimisation, stakeholder engagement, regulatory compliance and environmental impacts. To further understand these segments,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · Impact of AI and Big Data on Business and Society · Economic and Technological Systems Analysis
