Likang Qin1, Ying Dong2, and Zeyu Li3This email address is being protected from spambots. You need JavaScript enabled to view it.
1School of Economics and Management, Yan’an University, Yan’an 716000, ShaanXi, China
2School of Economics, Henan University, Kaifeng 475004, Henan, China
3Xi’an Electronic Engineering Research Institute, Xi’an 710100, ShaanXi, China
Received: January 3, 2026 Accepted: February 15, 2026 Publication Date: March 21, 2026
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
The corporate innovation landscape has dramatically transformed by the fast adoption of digital technologies, especially the likes of AI and cloud computing. The researchers opine that the study’s aim is to understand the impact of using both cloud computing and artificial intelligence (AI) in different organizational contexts on the innovation performance of the organizations. The use of Partial Least Squares Structural Equation Modelling enabled to analyse data obtained through quantitative cross-sectional survey administered to 530 individuals from different industries for the purpose of evaluating direct, indirect and moderating effects. The results indicate that digital transformation is a major factor in improving innovation outcomes, with the adoption of AI and cloud as the most effective drivers for increasing corporations’ innovations in terms of frequency, quality, and scalability. Factors like experience, role, and top management support of the organization also play a moderating role in these relationships. The research points out how important it is to have unified digital approaches in the accomplishment of sustainable innovation performance. Besides that, it gives a lot of valuable and significant insights both practically and theoretically for people engaged in or exploring the digital age. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed due to its ability to simultaneously estimate complex relationships involving direct, indirect, and moderating effects, making it particularly suitable for examining the interconnected roles of digital transformation, AI, and cloud computing in innovation performance.
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