The Research and Development Investment Management in Technology Enterprises Under Artificial Intelligence
This study explores the relationship among research and development (R&D) investment, artificial intelligence technology (AIT) adoption, and enterprise performance. A combination of a questionnaire and an AI model is adopted for this purpose. First, data are collected through a questionna...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10802906/ |
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| Summary: | This study explores the relationship among research and development (R&D) investment, artificial intelligence technology (AIT) adoption, and enterprise performance. A combination of a questionnaire and an AI model is adopted for this purpose. First, data are collected through a questionnaire to investigate the relationship among enterprise performance, R&D investment, and AIT adoption. Second, based on the survey results, an AI-assisted R&D management model is constructed and validated to optimize R&D resource allocation and improve enterprise performance. It is found that the adoption of AIT remarkably improves the efficiency of R&D management and enterprise performance. In the empirical study, it can be observed that enterprises that adopt AIT increase their R&D efficiency by 20% on average, and enterprise performance indicators such as revenue growth rate, profit margin, and market share by 15% on average. The results validate the positive correlation between AIT adoption and enterprise performance, demonstrating the critical role of R&D investment in corporate development. This study not only provides theoretical support and empirical evidence for technology companies in managing AIT investments but also offers practical guidance on how companies can effectively leverage AIT to optimize R&D investment strategies and enhance competitiveness. |
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| ISSN: | 2169-3536 |