出版科学 ›› 2024, Vol. 32 ›› Issue (04): 37-.

• 事业与产业 • 上一篇    下一篇

生成式人工智能大模型赋能传统出版企业转型升级路径研究——基于扎根理论的质性研究

  

  1. 青岛科技大学经济与管理学院

    陕西师范大学新闻与传播学院

  • 出版日期:2024-08-08 发布日期:2024-08-10
  • 作者简介:董华,经济学博士,青岛科技大学经济与管理学院教授、博士生导师; 张皓越,青岛科技大学经济与管理学院 2023 级硕士生; 高爱宇,陕西师范大学新闻与传播学院 2024 级硕士生。
  • 基金资助:
    国家社会科学基金“大数据驱动制造企业服务化组织创新的路径与模式研究”(17BJY073)

Research on the Transformation and Upgrading Path of Traditional Publishing Enterprises Empowered by Generative Artiffcial Intelligence Large Models: Qualitative research Based on Grounded Theory

  1. College of Economics and Management, Qingdao University of Science and Technology

    College of Journalism and Communication, Shaanxi Normal University

  • Online:2024-08-08 Published:2024-08-10

摘要: 基于质性研究方法,通过扎根理论提炼归纳出“智能内容生成提质优化、产业生产效率提速升级、个性定制内容交付传播、融合发布渠道策略制定、商业市场数据分析洞察、新型商业模式开发创新、组织架构流程变革重组、品牌核心价值维护创造、法律法规伦理风险考量”九大主范畴和“传统出版企业转型升级”一大核心范畴。在对主范畴与核心范畴的典型关系结构以及范畴间逻辑关系分析的基础上,构建生成式人工智能大模型赋能传统出版企业转型升级有效路径的理论模型。模型揭示了如何更好地将生成式人工智能大模型赋能企业后端的生产力提升和前端的新价值创造是传统出版企业实现转型升级的关键。

Abstract: Based on the qualitative research method and grounded theory, nine main categories have been extracted and summarized, including“ the improvement and optimization of intelligent content generation, the acceleration and upgrading of industrial production efficiency, the delivery and dissemination of personalized customized content, the formulation of integrated publishing channel strategies, the analysis and insight of commercial market data, the development and innovation of new business models, the transformation and reorganization of organizational structure and processes, the maintenance and creation of brand core values, and the consideration of legal and regulatory ethical risks”, as well as one core category of“ transformation and upgrading of traditional publishing enterprises”. Based on the analysis of the typical relationship structure between the main categories and the core category, as well as the logical relationship between categories, a theoretical model of generative artificial intelligence is constructed to empower traditional publishing enterprises to transform and upgrade effectively. The model reveals that how to better empower the productivity improvement of the backend and the creation of new value in the frontend with generative artificial intelligence models is the key to the transformation and upgrading of traditional publishing enterprises.

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