Research on the Risk Management Mechanism of Technological Innovation Investment under the Background of Artificial Intelligence Development: An Insurance Mechanisms Perspective.
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| Title: | Research on the Risk Management Mechanism of Technological Innovation Investment under the Background of Artificial Intelligence Development: An Insurance Mechanisms Perspective. |
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| Authors: | ZHANG, Yu1, LI, Yining2, LIM, WeiLee3 13261419696@163.com |
| Source: | Technical Gazette / Tehnički Vjesnik. 2025, Vol. 32 Issue 6, p2313-2323. 11p. |
| Subjects: | Technological innovations, Artificial intelligence, Legal compliance, Rate of return, Risk managers, Quantitative research, Economic uncertainty, Preparedness |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 190580244 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on the Risk Management Mechanism of Technological Innovation Investment under the Background of Artificial Intelligence Development: An Insurance Mechanisms Perspective. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22ZHANG%2C+Yu%22">ZHANG, Yu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22LI%2C+Yining%22">LI, Yining</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22LIM%2C+WeiLee%22">LIM, WeiLee</searchLink><relatesTo>3</relatesTo><i> 13261419696@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technical+Gazette+%2F+Tehnički+Vjesnik%22">Technical Gazette / Tehnički Vjesnik</searchLink>. 2025, Vol. 32 Issue 6, p2313-2323. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Legal+compliance%22">Legal compliance</searchLink><br /><searchLink fieldCode="DE" term="%22Rate+of+return%22">Rate of return</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+managers%22">Risk managers</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+uncertainty%22">Economic uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Preparedness%22">Preparedness</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.17559/TV-20250324002512 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 2313 Subjects: – SubjectFull: Technological innovations Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Legal compliance Type: general – SubjectFull: Rate of return Type: general – SubjectFull: Risk managers Type: general – SubjectFull: Quantitative research Type: general – SubjectFull: Economic uncertainty Type: general – SubjectFull: Preparedness Type: general Titles: – TitleFull: Research on the Risk Management Mechanism of Technological Innovation Investment under the Background of Artificial Intelligence Development: An Insurance Mechanisms Perspective. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: ZHANG, Yu – PersonEntity: Name: NameFull: LI, Yining – PersonEntity: Name: NameFull: LIM, WeiLee IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13303651 Numbering: – Type: volume Value: 32 – Type: issue Value: 6 Titles: – TitleFull: Technical Gazette / Tehnički Vjesnik Type: main |
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