Human Capital Analytics and Supply Chain Agility: Orchestrating Adaptive Workforce Behavior via Integrated Reward Systems
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The contemporary global supply chain landscape necessitates a strategic transition from lean cost efficiency toward adaptive agility and structural resilience. Despite massive investments in digital logistics infrastructure, organizations frequently encounter operational stagnation due to a technocentric bias that severely marginalizes human capital capabilities and analytical readiness. To address this strategic misalignment, this study presents a theory-building conceptual framework developed through a qualitative systematic literature review, utilizing the Ability-Motivation-Opportunity (AMO) framework and Resource Orchestration Theory (ROT). The conceptual analysis reveals that while predictive and prescriptive Human Capital Analytics (HCA) significantly enhance the cognitive capacity and adaptive maneuverability of the logistics workforce, these data-driven insights remain operationally dormant without proper catalytic mechanisms. The study posits that holistic reward systems act as a critical moderating variable, providing the intrinsic motivation required to convert static data intelligence into proactive, agile supply chain maneuvers amidst market disruptions. Through the lens of resource orchestration, aligning analytical human capital governance with flexible incentive architectures fundamentally establishes supply chain agility, directly amplifying downstream organizational logistics performance. Ultimately, securing a sustainable competitive advantage in Logistics 4.0 requires industry leaders to pivot toward humanizing their operational networks, demonstrating that the synergy between advanced data cognition and strategic reward calibration is the definitive engine for global supply chain innovation.
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