The Current Status, Problems, and Countermeasures of the Publishing Industry’s Transition Toward Data‑Driven Development

Chen Liu

doi:10.63313/EBM.9160

Authors

Chen Liu University of Shanghai for Science and Technology, Shanghai 200093, China Author

DOI:

https://doi.org/10.63313/EBM.9160

Keywords:

Publishing, Data Elements, Data Publishing, Data‑Driven, Generative Artificial Intelligence

Abstract

In the context of the emerging era of digital intelligence, the high-quality development and transformation of the publishing industry depend not only on digital technological innovation but also on the central role of data. As a critical factor of production, data plays an indispensable role in promoting the transformation of the publishing industry toward a data-driven paradigm. Within this context, publishing forms are gradually evolving from traditional print-based publishing to data-centered data publishing. This transformation enables the publishing industry to achieve multidimensional improvements in the process of digital development. Based on the contemporary technological and social context, this paper examines the current status of the publishing industry’s transition toward data-driven development, analyzes the problems encountered in the transformation of publishing business models, and proposes policy recommendations and strategic pathways for the future development of data publishing. Based on literature analysis and an examination of industry practices, this paper analyzes the current status, identifies key obstacles including technological bottlenecks, copyright dilemmas, and international expansion challenges, and proposes development pathways such as building a new data circulation ecosystem, establishing a compliance governance system, and reshaping narrative systems to promote international markets.

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