Call for Papers on Sustainable Knowledge-Based Decision Support Systems (KB-DSS) for Business Performance Improvement in Real Industrial Environment
- What are the key knowledge management support requirements and intelligent inference/reasoning/ learning capabilities of DSS in the current web-based, big data-driven, social network-supported, decision making context?
- How can KB-DSS support and improve business performance, facilitating the setting, monitoring and achieving economic, social and environmental (green) objectives?
- What empirical evidence is there of how KB-DSS has been applied to real decision making in different industrial environments?
*Sustainable knowledge-based decision support systems (KB-DSS): concepts, models and applications;
*Innovative approaches to knowledge reasoning/inferencing for business sustainability;
*Knowledge discovery technologies applied to sustainable strategic decision making;
*Organizational learning and knowledge sharing contribution to decision support and environmental/societal challenges;
*Knowledge networking and mobilization to improve organizational decision making;
*Lean and critical knowledge to improve business performance decisions;
*Knowledge chain management addressing sustainable supply network performance;
*Knowledge mining from big data to support sustainability decisions;
*Information fusion and simulation to help make green decisions;
*Web 2.0 and 3.0 based knowledge artefacts in the context of sustainable business decision making;
*Business performance management addressing economic, environmental (i.e. green) and social performance.
*Knowledge traceability for decision making