Management Review ›› 2023, Vol. 35 ›› Issue (10): 340-352.

• Case Studies • Previous Articles    

Research on the Construction Mechanism of Data-driven Dynamic Capabilities of Traditional Manufacturing Enterprises: Based on the Case Study of Digital Practice of Wahaha Group Co., Ltd.

Chen Yu1,2, Chen Yantai3, Xie Fuji4   

  1. 1. School of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai 201620;
    2. China Academic Degrees and Graduate Education Development Center, Beijing 100083;
    3. Center for Digital Innovation and Global Value Chain Upgrading, Zhejiang Gongshang University, Hangzhou 310018;
    4. Antai School of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030
  • Received:2022-06-30 Online:2023-10-28 Published:2023-11-27

Abstract: Traditional manufacturing enterprises are facing both new opportunities and challenges in the digital environment. How to build data-driven dynamic capabilities is the key to the success of traditional enterprise transformation. Taking Hangzhou Wahaha Group Co., Ltd. as a case study, this paper discusses the construction mechanism of data-driven dynamic capabilities. There are some main findings as follows. First, the data-driven dynamic capabilities of traditional manufacturing enterprises are composed of four dimensions: data-driven opportunity perception capability, data-driven industrial chain synergy capability, data-driven organizational transformation capability and data-driven value ecosystem capability. Second, these four capabilities can be subdivided into 13 main categories. Third, these four capabilities are progressive and mutually reinforcing. Among them, data-driven opportunity perception capability is the basis and prerequisite. Data-driven industrial chain synergy capability is the key and means of implementation. Data-driven organizational transformation capability is the guarantee and the supporting condition. Data-driven value ecosystem capability is leverage, with an amplification effect. The contribution of the paper is that a four-dimensional analysis framework is proposed, then the sources and interaction mechanisms of different dimensions are deeply analyzed. The conclusion of the paper has implications for how traditional manufacturing enterprises should carry out digitalization and transform digital resources into their data-driven dynamic capabilities.

Key words: traditional manufacturing enterprises, data-driven, dynamic capabilities, construction mechanism