Hong Kong, March 02 2026 — The Journal of Intelligent Sustainability and Decision Analytics (JISDA) announces a forthcoming Special Issue entitled “Decision-Oriented Analytical Modelling for Digital, Resilient and Sustainable Supply Chains in the Era of Industry 5.0.” The Special Issue aims to provide a focused platform for research that examines how analytical modelling frameworks support structured decision-making in increasingly complex and uncertain supply chain systems.

Supply chains are no longer stable, linear systems. They operate as evolving networks shaped by disruptions, digitalisation, and competing objectives related to efficiency, resilience, and sustainability. While technologies associated with Industry 4.0 and Industry 5.0—such as artificial intelligence, digital twins, blockchain, and IoT systems—have expanded analytical capabilities, they have also introduced new forms of uncertainty and complexity in decision processes.

A persistent gap remains between the development of analytical methods and their use in practical decision-making contexts. Much of the existing literature focuses on modelling structures or performance indicators in isolation, without sufficiently addressing how decisions are formulated, evaluated, and implemented under real-world constraints.

This Special Issue seeks to address that gap by emphasising decision-oriented analytical modelling, where the focus lies not only on model development, but on how analytical structures support comparison, prioritisation, optimisation, and choice. Submissions are expected to demonstrate explicit modelling frameworks, transparent assumptions, and clear relevance to decision-making in supply chain contexts.

The Special Issue will consider contributions addressing a range of topics, including decision models for supply chain design and reconfiguration, analytical approaches to resilience and sustainability trade-offs, optimisation and simulation under uncertainty, and digital decision-support systems that translate analytical outputs into actionable insights. Particular attention will be given to work that reflects realistic constraints, incomplete information, and multi-objective decision environments.

To provide thematic coherence, the issue is structured around four core directions:
(1) capability-based decision modelling under Industry 5.0;
(2) resilience and decision-making under uncertainty;
(3) sustainability and multi-objective decision analysis;
(4) digital technologies in decision-support systems.

Contributions that demonstrate methodological rigour, analytical transparency, and practical interpretability will be prioritised.

Manuscript Submission Deadline: August 2026
Peer Review Completion: October 2026
Final Decision Notification: December 2026
Publication: Upon acceptance

Guest Editors

Dr. Sharfuddin Ahmed Khan
University of Regina, Canada

Dr. Syed Mehmood Hassan
Royal Holloway, University of London, UK

Dr. Golam Kabir
University of Regina, Canada; King Fahd University of Petroleum and Minerals, Saudi Arabia

For more information, please visit: https://www.acadlore.com/journals/jisda

About JISDA

The Journal of Intelligent Sustainability and Decision Analytics (JISDA) is an international, peer-reviewed, open-access journal dedicated to advancing research on analytical and decision-oriented approaches to sustainability challenges. The journal treats sustainability problems as structured decision contexts characterised by multiple objectives, competing criteria, uncertainty, and incomplete information.

JISDA operates at the intersection of sustainability science, decision analytics, systems analysis, and quantitative modelling. It places particular emphasis on the development and validation of formal decision frameworks, including multi-criteria decision methods, optimisation-informed evaluation, and data-driven analytical models.

Submissions are expected to demonstrate clear modelling structures, transparent assumptions, and rigorous validation. The journal prioritises research that supports structured comparison, prioritisation, and decision-making, rather than descriptive or purely conceptual discussions.

Led by Editor-in-Chief Prof. Golam Kabir, Faculty of Engineering and Applied Sciences, University of Regina, Canada, and Department of Industrial and Systems Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, whose research focuses on sustainable and resilient systems, circular economy strategies, and data-driven decision-making, JISDA is committed to promoting methodological rigour, transparency, and reproducibility in sustainability-related decision research.