Editors
- Femi Olan, University of Essex
- Uchitha Jayawickrama, Loughborough University
- Shaofeng Liu, University of Plymouth
Description
This special issue seeks high-quality research on Decision Support Systems (DSS) that address sustainable and resilient transitions across organisations, societies, and supply chains. In environments characterised by technological disruption, environmental threats, and changing workforce demands, DSS models, frameworks, tools, and applications are essential for enabling evidence-based decision-making and strategic adaptation.
The call welcomes contributions exploring both theoretical foundations and practical applications of DSS across four main areas: green and sustainable transitions, digital transformation, workforce and skills transitions, and resilient supply chains. Submissions should demonstrate how DSS support organisations and societies in balancing efficiency with sustainability and resilience objectives while navigating rapid change.
Relevant submissions include conceptual models, quantitative frameworks with performance indicators, empirical case studies, interdisciplinary approaches, and critical analyses of adoption barriers and governance considerations for DSS implementation in transitions.
Potential topics
- DSS for Green and Sustainable Transitions: DSS for integrating environmental and circular economy goals, establishing indicators and metrics for production sustainability
- DSS for Digital Transformation: AI-powered DSS supporting digitalisation, automation, and advanced analytics in manufacturing, logistics, and workforce management
- DSS for Workforce and Skills Transitions: DSS for workforce re-skilling, hybrid work planning, and change management
- DSS for Resilient Supply Chains, Organisations and Societies: DSS frameworks for supply chain mapping, disruption visibility, dynamic reconfiguration, organisational learning and society regeneration
- Conceptual models for DSS-enabled sustainability and resilience in businesses, organisations, supply chains and societies
- Quantitative frameworks and key performance indicators (KPIs) measuring how decisions shape sustainability goals for transitions
- Empirical studies or case-based investigations bridging theories and practice
- Interdisciplinary methods bridging technological and organisational/societal readiness for sustainable change
- Critical perspectives on DSS technology adoption barriers, human factors, social-economic values and governance frameworks