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Empowerment Mechanism and Governance of Data Elements for Enterprise Incremental Innovation

Author(s)

Wei Feng*, Yuwen Ye

Affiliation(s)

Accounting Institute, Hainan Vocational University of Science and Technology, Haikou, Hainan, China *Corresponding Author

Abstract

As the core production resource in the digital economy era, data elements are fundamentally transforming the organizational logic and evolutionary pathways of corporate innovation. Grounded in innovation management and data element theory, this study systematically elucidates the theoretical rationale and operational mechanisms through which data elements empower incremental innovation. Specifically, data elements reduce R&D trial-and-error costs via knowledge codification and experiential accumulation, guide improvement directions through precise supply-demand matching, and catalyze combinatorial innovation via cross-domain knowledge integration, thereby establishing multidimensional empowerment pathways for incremental innovation. Concurrently, the deep integration of data elements introduces governance challenges including opaque innovation processes, ambiguous intellectual property demarcation, and algorithmic bias lock-in, necessitating collaborative governance approaches at corporate, market, and institutional levels.

Keywords

Data Element; Incremental Innovation; Empowerment Mechanism; Governance Path

References

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