征稿期刊

Socio-Economic Planning Sciences

期刊级别

IF 5.4 (JCR 2024)

SSCI

Q1 (ECONOMICS 45/617)

Q1 (MANAGEMENT 85/420)

SCIE

Q1 (OPERATIONS RESEARCH & MANAGEMENT SCIENCE 15/106)

征稿主题

Frontier Technologies, Business Analytics, and Supply Chain Resilience

细分领域

Optimisation, Business Analytics, and Decision-Making

AI-driven predictive and prescriptive analytics for public sector and business applications

Mathematical programming, simulation, and exact and heuristic optimisation for supply chain and public policy decisions

Machine learning and hybrid AI-optimisation models for logistics and infrastructure planning

Blockchain for secure, transparent, and optimised supply chain management

Digital twins and IoT-enabled decision support and real-time optimisation

Supply Chain Resilience and Risk Management

Data-driven models for supply chain disruptions, risk assessment, stress testing, and adaptive recovery

Robust and stochastic optimisation for sustainable, resilient, viable, and reconfigurable supply chains

Cybersecurity risks, resilience, and stress testing in digitally connected supply chains

Circular economy and sustainability-driven supply chain design

Impact of economic and geopolitical uncertainty on supply chain optimisation and policymaking

Socio-Economic Impacts and Policy Implications

Digital transformation in public sector logistics, and infrastructure planning

AI and data-driven policies for resource allocation and urban planning

Optimisation models for public-private partnerships and sustainable development

Ethical considerations and governance of AI and automation in service industries

Socio-economic trade-offs in adopting frontier technologies for resilient supply chains.

重要时间

Submission Deadline: 31 March 2026