Journal Information
Journal of Supply Chain Management Systems (JSCMS) tends to develop, promote, coordinate and disseminate the original developments and practices of supply chain management systems. The journal is effectively positioned as a multi-disciplinary journal, focusing on a particular set of study objects rather than a specific discipline. Articles submitted should have a significant impact on SCM theory and practice. The Journal ensures that high quality research is collected and disseminated widely to both academics and practitioners, and provides a forum for debate. It covers all subjects relating to the SCM.
The JSCMS invites high quality original and Review papers, Technical reports, Case studies, Conference reports, Management reports and Book reviews.
Key Areas / Scope of Journal
Although the possible set of topics for the journal is large and we encourage submission on any area within the scope of supply chain management systems, the following sub-areas are particularly suitable (but not exhaustive):
- Supply Chain Strategies
- Organisational buying behavior
- Make-or-buy/outsourcing strategy
- Supplier relationships
- Costing and pricing
- Negotiations
- Supply Chain Organization
- Information management and information & communication technology (ICT)
- Social, ethical and environmental supply issues
- Supply chain management
- Logistics and Distribution Management
- Business Models / Tools / Techniques in SCM
- Decision Making on Supply Chain Management
- Decision-Support Systems for Supply Chain Management
- E-Business and E-commerce Approaches in SCM
- Multi criteria Decision making in SCM
- Multiple-Objective Decision Making
- Operations Management
- Performance Measurement in SCM
- Production Planning and Control
- Supply Chain Integration and Coordination
- Supply Chain Risk Management
- Supply Chain Vendor Selection
- MRPI / MRPII / ERP/ CRM
- RFID / EDI / VMI
- 3PL / 4 PL
- Supply Chain Risk Management
- Multivariate techniques for Decision making in SCM and Logistics
- Analytical model and Mathematical models for service and support
- Inbound and outbound Logistics
- Information Integration
- Optimization