Key research themes
1. How can integrated performance measurement systems be designed to effectively align supply chain strategy and operational decision-making?
This research area focuses on developing comprehensive performance measurement systems (PMS) that simultaneously support supply chain strategic alignment and operational decision-making. It emphasizes frameworks that integrate structural typologies with procedural processes, ensuring that supply chain performance metrics reflect goals at multiple organizational levels. The integration of methodologies such as Balanced Scorecard (BSC), Supply Chain Operations Reference (SCOR) model, Plan-Do-Check-Act (PDCA), and Evidence-Based Management (EBM) contribute to the design of PMS that underpin continuous improvement and strategic management in complex supply chains.
2. What are the critical performance dimensions and measures that enable holistic assessment and operational flexibility in supply chain management?
This research theme explores identifying and categorizing key supply chain performance measures and dimensions vital for evaluating overall supply chain health, responsiveness, and customer satisfaction. It emphasizes balancing financial and non-financial indicators across strategic, tactical, and operational levels. The integration of multidimensional frameworks (e.g., POA model, balanced scorecards) and empirical validation underpin better decision-making, flexibility to customer demand variations, and enhancement of supply chain agility and maturity.
3. How do supply chain management practices influence organizational performance and competitive advantage?
This theme investigates the relationship between supply chain management (SCM) practices—such as supplier partnerships, information sharing, customer relationships, total quality management (TQM), and collaboration—and their direct effects on firm-level performance and competitive positioning. It also considers technological enablers like ICT and AI in enhancing SCM efficacy. Empirical studies focus on quantifying the impact of these practices on organizational performance metrics and highlight critical success factors and managerial implications.