Exploring the Interplay of Digital Procurement and Data Analytics Capabilities for Enhancing Supply Chain Performance: A Dynamic Capabilities Perspective

This research critically investigates the integrative influence of data analytics capabilities in advancing digital procurement efficacy and supply chain performance, framed within the dynamic capabilities paradigm. It delineates three analytically distinct yet synergistic domains: external data analytics, internal data analytics, and digital procurement capability. External analytics serve as a strategic enabler by furnishing predictive insights into volatile market conditions and supplier dynamics, thereby supporting risk mitigation and informed sourcing decisions. Internal analytics underpin operational alignment by leveraging enterprise data to optimize processes and support digital system functionality. Digital procurement capability, operationalized through advanced technologies including artificial intelligence and e-procurement platforms, facilitates structural reconfiguration of procurement workflows to enhance agility, transparency, and cost efficiency. The interdependence of these capabilities fosters a data-intensive ecosystem characterized by heightened resilience, responsiveness, and sustainability. Empirical evidence substantiates their strategic alignment as a mechanism for navigating environmental uncertainty and sustaining competitive advantage. The findings underscore both theoretical contributions and practical trajectories for digital supply chain