doi: 10.18178/joebm.2026.14.3.954
Research on the Impact of AI-Assisted Decision-Making on Enterprise Management Efficiency and Employee Collaborative Innovation Capability
- Manuscript received June 21, 2026
- accepted August 23, 2026
- published September 23, 2026
Abstract
With the development of the digital economy, Artificial Intelligence (AI) has gradually become a key pillar of corporate digital transformation. This paper examines the impact of AI on management efficiency and employees’ collaborative innovation capabilities from the perspectives of business management and organizational innovation, drawing on relevant corporate case studies. The research finds that AI can improve information processing efficiency, optimize decision-making processes, and promote knowledge sharing, thereby enhancing corporate management standards and innovation performance. However, its implementation still faces challenges such as data quality issues, algorithmic bias, insufficient digital literacy among employees, and information security concerns. To fully leverage its potential, enterprises should strengthen data governance and talent development while promoting the establishment of human-machine collaborative management models.
How to Cite
"Research on the Impact of AI-Assisted Decision-Making on Enterprise Management Efficiency and Employee Collaborative Innovation Capability," Journal of Economics, Business and Management, vol. 14, no. 3, pp. 269-270, 2026. https://doi.org/10.18178/joebm.2026.14.3.954
Copyright & License
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).