Generative AI on innovation performance of construction enterprises: A knowledge-based dynamic capabilities perspective

被引：0
|
作者：
Qiao, Shi [1 ]
Liu, Zhiwei [1 ]
Wu, Jie [1 ]
Guo, Zeng [2 ]
Wu, Han [3 ]
机构：
[1] Wuhan Polytech Univ, Sch Civil Engn & Architecture, Wuhan 430023, Hubei, Peoples R China
[2] Wuhan Univ Technol, Sch Civil Engn & Architecture, Wuhan 430070, Hubei, Peoples R China
[3] Nanchang Univ, Sch Infrastruct Engn, Nanchang 330000, Jiangxi, Peoples R China
来源：
JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT | 2025年 / 76卷
关键词：
Construction enterprises; Generative AI; Innovation performance; Knowledge-based dynamic capabilities; ABSORPTIVE-CAPACITY; MANAGEMENT; TRANSFORMATION;
D O I：
10.1016/j.jengtecman.2025.101871
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The aim of this study was to investigate the associations among generative AI, knowledge-based dynamic capabilities and innovation performance of the construction enterprises. A model reflecting the relationship between these factors was proposed based on structural equation model. The relationships between these factors were revealed via the analysis of survey data from 268 participants in the construction enterprises. The results showed that generative AI positively influenced knowledge-based dynamic capabilities and innovation performance of the construction enterprises; knowledge integration and knowledge absorption had mediating effects on the influence of generative AI and knowledge search on innovation performance of the construction enterprises.
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页数：16
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