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Research on the Transformation and Upgrading Mechanism and Path of Digital Publishing Industry Driven by Digital-Intelligent Transformation

Author(s)

Yuqing Zhao

Affiliation(s)

School of Information Management, Wuhan University, Wuhan, China

Abstract

Against the backdrop of rapid development and iteration of artificial intelligence technology, digital-intelligent transformation has become the core driving force for the transformation and upgrading of the publishing industry. Based on four theories—technology integration, industrial value chain, new structural economics, and coordinated social and economic benefits—this paper analyzes the current development status and dilemmas of the digital publishing industry. It extracts three internal cultivation mechanisms: human-machine collaboration, data-driven development, and value-added enhancement. Furthermore, it proposes cultivation paths and guarantee strategies from five dimensions: technology empowerment, content innovation, ecological collaboration, talent cultivation, and multi-stakeholder regulation. This study aims to provide practical ideas for the digital-intelligent transformation of publishing institutions and a reference for authorities to improve the policy system, so as to promote the high-quality development of the digital publishing industry with coordinated social and economic benefits.

Keywords

Artificial Intelligence; Digital Publishing; Data Elements; Digital-Intelligent Transformation; Digital Economy

References

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