管理评论 ›› 2023, Vol. 35 ›› Issue (8): 342-352.

• 案例研究 • 上一篇    

商业模式创新和数字赋能对数字化转型的驱动机制研究——基于TJ-QCA的案例分析

刘思慧1, 李文2, 俞荣建1, 梅蕾2   

  1. 1. 浙江工商大学工商管理学院, 杭州 310018;
    2. 内蒙古科技大学经济与管理学院, 包头 014010
  • 收稿日期:2022-04-18 出版日期:2023-08-28 发布日期:2023-10-07
  • 通讯作者: 刘思慧(通讯作者),浙江工商大学工商管理学院博士研究生
  • 作者简介:李文,内蒙古科技大学经济与管理学院副教授,硕士生导师,博士;俞荣建,浙江工商大学工商管理学院教授,博士生导师,博士;梅蕾,内蒙古科技大学经济与管理学院教授,硕士生导师,硕士
  • 基金资助:
    国家社会科学基金重大项目(20&ZD124);教育部人文社会科学研究青年基金西部和边疆地区项目(21XJC630006)。

The Mechanism of How Business Model Innovation and Digital Empowerment Drive Digital Transformation——A Case Study Based on TJ-QCA

Liu Sihui1, Li Wen2, Yu Rongjian1, Mei Lei2   

  1. 1. School of Business Administration, Zhejiang Gongshang University, Hangzhou 310018;
    2. School of Economics and Management, Inner Mongolia University of Science and Technology, Baotou 014010
  • Received:2022-04-18 Online:2023-08-28 Published:2023-10-07

摘要: 数字赋能和商业模式创新是企业实现数字化转型的重要驱动因素,本文采用案例研究和基于轨迹的定性比较分析,探究两者对制造业企业数字化转型的协同机制,并追踪其转型过程的进化路径。研究发现:数字赋能机制有管控赋能、解析赋能和级联赋能;商业模式创新机制主要有创收型商业模式和编排型商业模式;两者协同驱动数字化转型的路径有产业耦合驱动、自主创新驱动、能力连接驱动和管控辅助驱动4条路径;其中,产业耦合驱动、自主创新驱动是最保守的路径,解析赋能、级联赋能、创收型商业模式和编排型商业模式均是推动制造业企业数字化转型的核心条件,管控赋能是边缘条件。研究结果揭示了数字赋能和商业模式创新对数字化转型协同推进的轨迹,揭示其暗藏在背后的规律,对制造业企业数字化转型实践具有启示意义。

关键词: 数字赋能, 商业模式创新, TJ-QCA, 多案例研究, 组态分析

Abstract: Digital empowerment and business model innovation are two important driving factors for enterprises to realize digital transformation. This paper uses case studies and trajectory-based qualitative comparative analysis to explore the mechanism of how the two factors synergistically act on manufacturing enterprises' digital transformation, and tracks the evolution path of their transformation process. The research finds that the transformation mechanism of digital empowerment includes control empowerment, analytical empowerment and cascade empowerment; the business model innovation mechanism mainly includes income-generating business model and orchestration business model; there are four paths for the two factors to synergistically drive the digital transformation:industry coupling drive, independent innovation drive, capacity connection drive and control auxiliary drive; and among them, industrial coupling drive and independent innovation drive are the most conservative paths. Analytic empowerment, cascade empowerment, income-generating business model and orchestration business model are core conditions to promote the digital transformation of manufacturing enterprises, while control empowerment is a marginal condition. The research results reveal the trajectory along which digital empowerment and business model innovation synergistically promote digital transformation, and reveal the laws behind it, so the conclusions can be used as a reference for manufacturing enterprises to carry out their digital transformation.

Key words: digital empowerment, business model innovation, TJ-QCA, multi case study, configuration analysis