管理评论 ›› 2023, Vol. 35 ›› Issue (2): 328-339.

• 案例研究 • 上一篇    下一篇

数据要素驱动企业高质量数字化转型——索菲亚智能制造纵向案例研究

谢康1, 胡杨颂1, 刘意2, 罗婷予1   

  1. 1. 中山大学管理学院, 广州 510275;
    2. 复旦大学发展研究院, 上海 200433
  • 收稿日期:2022-03-25 出版日期:2023-02-28 发布日期:2023-03-27
  • 通讯作者: 刘意(通讯作者),复旦大学发展研究院博士后
  • 作者简介:谢康,中山大学管理学院教授,博士生导师,博士;胡杨颂,中山大学管理学院博士研究生;罗婷予,中山大学管理学院博士后。
  • 基金资助:
    国家自然科学基金项目(71832014;72102046;72032009);中国博士后科学基金项目(2020M681190;2022T150126)。

Data Factor Driven High-quality Digital Transformation of Enterprise——A Longitudinal Case Study of Sogal's Intelligent Manufacturing

Xie Kang1, Hu Yangsong1, Liu Yi2, Luo Tingyu1   

  1. 1. Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou 510275;
    2. Fudan Development Institute, Fudan University, Shanghai 200433
  • Received:2022-03-25 Online:2023-02-28 Published:2023-03-27

摘要: 企业高质量数字化转型是经济高质量发展的重要组成,其重点在于释放数据要素对资源的再配置作用以实现企业高质量发展。本文以索菲亚2008—2022年期间从大规模定制到智能制造的实践展开纵向案例研究,形成两个理论贡献:一是从数据要素驱动视角提出并定义企业高质量数字化转型的概念,提炼出要素重构、要素创造和要素创生三个高质量数字化转型实现路径,形成企业高质量数字化转型路径研究的理论创新;二是通过比较三个转型路径资源再配置形成的高质量发展特征,阐述高质量数字化转型的本质是基于数据要素提高企业内外资源再配置效率而促进企业高质量发展,形成数据要素驱动企业高质量数字化转型管理的适应性变革理论创新。

关键词: 数据要素, 企业数字化转型, 高质量发展, 智能制造, 资源再配置

Abstract: High-quality digital transformation is a key for an enterprise to seek its high-quality economic development, and this is because digital transformation enables data factors to reallocate corporate resources. This paper conducts a longitudinal case study based on Sogal 's transition from mass customization to intelligent manufacturing between 2008 and 2022, and brings about two theoretical contributions. First, it proposes a routine model of enterprise's high-quality digital transformation by defining the concept of high-quality digital transformation from a data-driven perspective, and extracting three realization paths of it:factor reconstruction, factor creation and factor generativity. Secondly, it contributes to the literature of adaptive transformation by revealing that the high-quality digital transformation is exploiting data factors to promote reallocation efficiency of firms' internal and external resources, and clarifying how such reallocation is adaptive to firm's different development stages.

Key words: data factors, digital transformation of enterprise, high-quality development, intelligent manufacturing, resource reallocation