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

IF 3.7 3区管理学 Q2 BUSINESS

Journal of Engineering and Technology Management Pub Date : 2025-03-24 DOI:10.1016/j.jengtecman.2025.101871

Qiao Shi , Liu Zhiwei , Wu Jie , Guo Zeng , Wu Han

引用次数: 0

Abstract

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.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Engineering and Technology Management 管理科学-工程：工业

CiteScore

8.00

自引率

6.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management. The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning. The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.