This research explores the reconstruction of job competencies for digital-intelligent finance and business positions under the background of Hainan's customs closure and industrial upgrading

Abstract

Hainan's customs closure operation drives the regional industry to upgrade toward cross-border, offshore, and digital-intelligent directions, and it generates a fundamental demand for reshaping the competency structure of finance and business positions. This study focuses on the reconstruction logic of job competencies for digital-intelligent finance and business positions under the background of industrial upgrading triggered by the customs closure. It systematically analyzes the deconstruction boundaries of traditional finance and business competency dimensions, the sudden changes in competency characteristics induced by digital-intelligent embedding, and the moderating effect of the customs closure environment on factor weights. It further reveals the impact mechanisms of cross-border data flow, offshore trade patterns, and industrial value chain reconstruction on the migration of finance and business functions, the tension between accounting and risk control capabilities, and the multi-skilled competency gradient. On this basis, this study proposes three major reconstruction pathways: the separation and recombination of capability units based on task granularity, the adaptive calibration mechanism for dynamic competency thresholds, and the topological optimization of the competency map for digital-intelligent finance and business positions. It then constructs a modular and iterative competency adaptation model. This research provides an analytical framework and operational tools for redefining the competencies of finance and business positions in the customs closure scenario.