Application of artificial intelligence in technology management: status quo, challenges and opportunities
- Authors
- Kim, Sunhye; Song, Youngchul; Go, Minseok; Kim, Seha; Kim, Minji; Yoon, Byungun
- Issue Date
- Dec-2025
- Publisher
- Taylor & Francis Group
- Keywords
- Technology management; artificial intelligence; literature survey; AI application
- Citation
- Technology Analysis & Strategic Management, v.37, no.12, pp 3005 - 3020
- Pages
- 16
- Indexed
- SSCI
SCOPUS
- Journal Title
- Technology Analysis & Strategic Management
- Volume
- 37
- Number
- 12
- Start Page
- 3005
- End Page
- 3020
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/22924
- DOI
- 10.1080/09537325.2024.2389141
- ISSN
- 0953-7325
1465-3990
- Abstract
- Technology management (TM) aims to enhance technical competitiveness, providing organizations with a market advantage. The increasing interest in artificial intelligence (AI) within TM has sparked debate: supporters praise AI's decision-making capabilities, while critics stress the importance of human expertise. This study advocates for integrating AI into TM as a supportive tool for human decision-making rather than replacing domain experts. To achieve this, a comprehensive literature review examines the integration of AI in TM, exploring potential benefits and challenges. The research analyzes text mining works, existing data, and the suitability of AI models for various TM tasks. Additionally, it reviews AI applications in TM, identifying opportunities and challenges.
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- Appears in
Collections - College of Engineering > Department of Industrial and Systems Engineering > 1. Journal Articles

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