Xia Yue, Md Johar Md Gapar
School of Economics and Social Welfare, Zhejiang Shuren University, Hangzhou, China.
Post Graduate Center, Management and Science University, Malaysia.
Heliyon. 2024 Aug 15;10(16):e36399. doi: 10.1016/j.heliyon.2024.e36399. eCollection 2024 Aug 30.
Digital innovation activities are data-driven, and the process of organizational digital innovation is inevitably influenced by their key participants, employees, as well as changes in the social institutional environment. How government support and employee structure impact organisational digital innovation was examined in this study. Since digital innovation activities are data-driven, the mediating role of data flows within digital innovation ecosystems was explored. A quantitative research design was employed, and data were collected by a survey from 299 firms in China. Results of structural equation modelling using SPSS and AMOS reveal that government support for enterprises in terms of policies and services, as well as the employee structure within enterprises, have a direct impact on organisational digital innovation. Data flows within digital innovation ecosystems mediate the relationship between government support and organisational digital innovation activities. Our findings provided evidence for theories of digital innovation ecosystems and employee-driven digital innovation. The results and conclusions in this study can provide reference for enterprises to achieve digital innovation breakthroughs, and for policymakers to formulate digital-related policies and regulations.
数字创新活动是以数据为驱动的,组织数字创新的过程不可避免地受到其关键参与者(员工)以及社会制度环境变化的影响。本研究考察了政府支持和员工结构如何影响组织的数字创新。由于数字创新活动是以数据为驱动的,因此探讨了数字创新生态系统中数据流的中介作用。采用了定量研究设计,并通过对中国299家企业的调查收集数据。使用SPSS和AMOS进行结构方程建模的结果表明,政府在政策和服务方面对企业的支持以及企业内部的员工结构,对组织数字创新有直接影响。数字创新生态系统中的数据流在政府支持与组织数字创新活动之间起中介作用。我们的研究结果为数字创新生态系统理论和员工驱动的数字创新提供了证据。本研究的结果和结论可为企业实现数字创新突破以及政策制定者制定数字相关政策法规提供参考。