Valuation Dilemmas and Optimization Pathways for Capitalizing Data Assets in Manufacturing: Evidence from Zhongan Technology Group in Guiyang
Abstract
Against the deepening digital economy, data assets have become a new engine for value creation in manufacturing. But structural barriers—including strong contextual stickiness, sensitivity to industry fluctuations, and fragmented ownership- mean manufacturing data assets still struggle in valuation. This paper focuses on Guizhou Zhongan Technology Group’s pioneering practice, systematically examining the data asset valuation challenges during financial recognition. It clarifies two key aspects: the formation mechanism behind the triple dilemma of scene dependence, value fluctuation, and ownership compliance. And a three-in-one optimization framework of "scenario-based partition pricing, fluctuation risk mitigation, and ownership chain verification. The study provides both a replicable operational model for manufacturing data assets to be recorded in financial statements and a theoretically grounded, practically relevant decision-making reference for the industry’s digital transformation[3].
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