嵌入性
背景(考古学)
业务
质量(理念)
制造业
先进制造业
知识管理
产业组织
创新管理
产品创新
双灵巧性
多样性(政治)
制造工程
计算机集成制造
过程开发执行系统
综合计算机辅助制造
制造业
精益制造
作者
Taiye Luo,Huimin Tang,Jiaming Zhang
出处
期刊:Journal of Manufacturing Technology Management
[Emerald (MCB UP)]
日期:2025-12-18
卷期号:: 1-20
标识
DOI:10.1108/jmtm-04-2025-0303
摘要
Purpose Artificial intelligence (AI) plays a crucial role in the innovation of manufacturing firms. This research aims to investigate the impact mechanisms of manufacturing firms’ innovation quality in the context of AI. Design/methodology/approach Based on unbalanced panel data of listed manufacturing firms from 2017 to 2023, this research examines the impact of AI on manufacturing firms’ innovation quality and tests the mediating role of innovation network embeddedness and the moderating role of knowledge diversity. Findings It is found that AI has a positive impact on the innovation quality of manufacturing firms. The structural embeddedness and relational embeddedness of manufacturing firms in innovation networks mediate the relationship between AI and innovation quality. The knowledge diversity of manufacturing firms positively moderates the impact of AI on innovation quality. Originality/value This is one of the first studies that investigates the impact mechanisms of AI on manufacturing firms’ innovation quality. The findings can add to the understanding of how AI shapes the innovation of manufacturing firms.
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