过程(计算)
知识管理
调解
结构方程建模
数字化转型
业务
惯性
组织绩效
过程管理
计算机科学
政治学
物理
经典力学
机器学习
万维网
法学
操作系统
作者
Xiangyang Wang,Liu Zhi-yi,Jiamin Li,Xuefei Lei
标识
DOI:10.1016/j.techsoc.2023.102395
摘要
Digital process innovation has become the key for enterprises to implement digital transformation to optimize production and operation. However, as a radical change, digital process innovation may encounter strong inertia and resistance. How to overcome them to actively promote digital process innovation is crucial for enterprises. Building on organizational change theory, this study introduces organizational unlearning, smart technologies and environmental turbulence to explore how to promote digital process innovation by getting rid of inertia, thus improving performance. This study empirically tests 212 valid samples from Chinese enterprises using partial least squares structural equation modeling (PLS-SEM) and PROCESS. The results show that digital process innovation mediates the relationship between organizational unlearning and enterprise performance. Also, both smart technologies and environmental turbulence positively moderate the mediation of digital process innovation on the association between organizational unlearning and enterprise performance. This study reveals that organizational unlearning, smart technologies and environmental turbulence are powerful factors to break organizational inertia and promote digital process innovation, which provides fresh and significant insights of how to get rid of inertia in the process of digital transformation for academia and practitioners.
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