The impact of co-intelligence on digital innovation: A perspective based on knowledge digitization and human-AI collaborative knowledge innovation

Qiang Cheng et al.

International Journal of Innovation Studies2026https://doi.org/10.1016/j.ijis.2026.02.002article
ABDC B
Weight
0.50

Abstract

Amidst the new wave of technological revolution and industrial transformation, collaboration between humans and artificial intelligence (AI) is fundamentally reshaping organizational practices, making digital innovation a crucial source of competitive advantage for enterprises. However, scholarly research on the impact of co-intelligence on digital innovation, as well as the mediating role of knowledge digitization and human-AI collaborative knowledge innovation, remains underdeveloped. To address this gap, this study surveyed 282 Chinese enterprises that implement AI scenario applications. Employing the partial least squares structural equation modeling (PLS-SEM) approach, we investigated how co-intelligence enhances digital innovation, with a specific focus on the mediating effects of knowledge digitization and human–AI collaborative knowledge innovation. The analysis reveals three key findings: (1) Co-intelligence has a significant positive effect on digital innovation. (2) The relationship between co-intelligence and digital innovation is mediated by knowledge digitization and human–AI collaborative knowledge innovation. (3) These two mediators form a significant chain mediation pathway between co-intelligence and digital innovation. Theoretically, this study elucidates the influence mechanism of co-intelligence on digital innovation through a chain-mediated model. Practically, it provides managers with insights for leveraging co-intelligence and refining knowledge management practices to advance digital innovation, offering a foundation for effectively using AI to drive innovation.

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https://doi.org/https://doi.org/10.1016/j.ijis.2026.02.002

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@article{qiang2026,
  title        = {{The impact of co-intelligence on digital innovation: A perspective based on knowledge digitization and human-AI collaborative knowledge innovation}},
  author       = {Qiang Cheng et al.},
  journal      = {International Journal of Innovation Studies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.ijis.2026.02.002},
}

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Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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