Technical gazette, Vol. 32 No. 6, 2025.
Original scientific paper
https://doi.org/10.17559/TV-20250324002512
Research on the Risk Management Mechanism of Technological Innovation Investment under the Background of Artificial Intelligence Development: An Insurance Mechanisms Perspective
Yu Zhang
; UCSI Graduate Business School, UCSI University, Kuala Lumpur, Malaysia; Hebei Lanchen Film & Television Co. LTD, China
Yining Li
; Department of Social Economy and Management, Graduate School, Woosuk University, Korea
WeiLee Lim
; UCSI Graduate Business School, UCSI University, Kuala Lumpur, Malaysia
*
* Corresponding author.
Abstract
This study investigates the risk management mechanisms influencing technological innovation investments in the context of artificial intelligence (AI) development. A quantitative approach was employed, using a structured survey distributed to 300 firms involved in AI-driven innovation across various industries, including healthcare, finance, manufacturing, and technology. The data were analyzed using regression and structural equation modeling (SEM) techniques. The findings reveal that technological uncertainty can positively impact investment success when firms effectively manage risks, with a mean score of 4.2 for technological uncertainty and 3.9 for investment success. In contrast, market risks (mean = 3.6) and regulatory challenges (mean = 3.7) negatively affect outcomes. Additionally, the study highlights the critical role of risk management mechanisms (mean = 4.0) and organizational readiness in moderating these risks. Firms with robust risk management practices and higher organizational preparedness are more likely to achieve successful AI-driven investments. These results contribute to the growing literature on AI-driven innovation by emphasizing the importance of risk management and internal capabilities in navigating the complexities of AI investment.
Keywords
AI-driven innovation; market risks; organizational readiness; risk management; technological innovation investments; technological uncertainty
Hrčak ID:
337734
URI
Publication date:
31.10.2025.
Visits: 104 *