数字化
转化(遗传学)
产业组织
业务
竞争优势
数字化转型
比例(比率)
质量(理念)
价值(数学)
结构方程建模
制造业
制造工程
数字化制造
知识管理
过程管理
营销
计算机科学
化学
工程类
电信
万维网
哲学
物理
机器学习
认识论
基因
量子力学
生物化学
作者
Jing Gao,Wanfei Zhang,Tao Guan,Qiuhong Feng,Abbas Mardani
标识
DOI:10.1016/j.jbusres.2022.113387
摘要
The digital transformation of the manufacturing industry has reshaped the collaborative innovation model of multi-agent value co-creation in the value chain. The nature and collaborative behavior of heterogeneous agents in the value chain are key factors affecting innovation performance. This study uses the structural equation model (SEM) and conducts a questionnaire survey on 381 manufacturing enterprises. It examines the different impacts of agent heterogeneity and collaborative behavior on the innovation performance of manufacturing enterprises in digital transformation under different digitization levels and enterprise sizes. The results show that highly digitized or large-scale enterprises can reduce the negative impact of agent heterogeneity on innovation performance. However, the cooperation quality of enterprises with low digitalization levels or small-scale enterprises plays an important role in improving enterprise performance. These results help manufacturing enterprises accelerate digital transformation and provide a strategic reference for transforming and upgrading the digital economy.
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