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Application of artificial intelligence in technology management: status quo, challenges and opportunities

Authors
Kim, SunhyeSong, YoungchulGo, MinseokKim, SehaKim, MinjiYoon, 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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