管理评论 ›› 2021, Vol. 33 ›› Issue (12): 152-162.

• 电子商务与信息管理 • 上一篇    下一篇

企业数字化成熟度模型研究

王核成, 王思惟, 刘人怀   

  1. 杭州电子科技大学创新与发展研究院, 杭州 310012
  • 收稿日期:2019-07-01 出版日期:2021-12-28 发布日期:2022-01-25
  • 作者简介:王核成,杭州电子科技大学创新与发展研究院教授,博士生导师,博士;王思惟,杭州电子科技大学硕士研究生;刘人怀,中国工程院院士,杭州电子科技大学创新与发展研究院教授,博士生导师
  • 基金资助:
    国家自然科学基金项目(71372170)

Research on Enterprise Digital Maturity Model

Wang Hecheng, Wang Siwei, Liu Renhuai   

  1. Institute of Innovation and Development, Hangzhou Dianzi University, Hangzhou 310012
  • Received:2019-07-01 Online:2021-12-28 Published:2022-01-25

摘要: 如今数字技术逐渐成为技术的主导方式,在快速变化的数字化格局中企业数字化转型引起了社会的广泛关注。在数字化进程中,企业为了寻求更适宜的方法与路径来实现转型升级,科学地分析和评估自身数字化水平变得至关重要。本文结合现实需求,在分析数字化与企业数字化转型内涵和本质的基础上,通过文献研究和运用专家评审法等方法,筛选和提炼出关键过程域和具体评价指标,开发了数字化成熟度模型(digital maturity model,DMM)。该模型包括5个关键过程域(战略与组织、基础设施、业务流程与管理数字化、综合集成、数字化绩效)、19个一级指标和63个二级指标。与目前国内外相关评价模型相比,此DMM更能体现数字化商业生态下企业运行模式的变化和数字技术的全面融合与系统应用,为研究人员提供了有关数字化新兴现象的见解,也为企业提供了评估数字化综合水平的方法和工具,有助于企业制定数字化转型的战略目标和实施方案。

关键词: 企业数字化, 数字化转型, 能力成熟度模型(CMM), 数字化成熟度模型(DMM)

Abstract: Nowadays, digital technology has gradually dominated the technological development. To catch up with this fast-growing dynamic digitalization trend, most enterprises have initialized their digital transformation, which has attracted wide attention of the society. In the process of digitalization, to seek the most adaptive solution to advance the transformation, it becomes vital for each enterprise to identify the current digitalization level of its own. Based on the analysis of the connotation and essence of digitalization and enterprise digital transformation, this paper explores the concept of enterprise digital maturity in combination with the actual needs. Then research team identifies key process areas and specific evaluation metrics through literature research and panelist review. Further, a digital maturity model (DMM) is developed. This model includes five key process areas (strategy and organization, infrastructure, business process and management digitalization, integrated integration, digital performance), 19 primary indicators and 63 secondary indicators. Compared with the current domestic and international evaluation models, this DMM can better present the changes of enterprise operational pattern and the comprehensive fusion and system application of digital technology under the digital commercial ecology. Not only can it provide researchers with insights on digital emerging phenomena, but provide methods and tools for enterprises to assess their digital integration, helping them to establish strategic goals and implementing programs for digital transformation.

Key words: enterprise digitalization, digital transformation, capability maturity model (CMM), digital maturity model (DMM)