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

Sunhye Kim, Youngchul Song, Minseok Go, Seha Kim, Minji Kim, Byungun Yoon

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
JournalTechnology Analysis and Strategic Management
DOIs
StateAccepted/In press - 2024

Keywords

  • AI application
  • Technology management
  • artificial intelligence
  • literature survey

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