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

Shi Qiao et al.

Journal of Engineering and Technology Management2025https://doi.org/10.1016/j.jengtecman.2025.101871article
AJG 2ABDC B
Weight
0.53

Abstract

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8 citations

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https://doi.org/https://doi.org/10.1016/j.jengtecman.2025.101871

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@article{shi2025,
  title        = {{Generative AI on innovation performance of construction enterprises: A knowledge-based dynamic capabilities perspective}},
  author       = {Shi Qiao et al.},
  journal      = {Journal of Engineering and Technology Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jengtecman.2025.101871},
}

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

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Evidence weight

0.53

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.70 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.