The impact of AI adoption: internal R&D, external knowledge acquisition and firm performance인공지능기술 도입이 기업성과에 미치는 영향: 기업의 혁신 전략을 중심으로

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Faced with AI-fueled competition threats due to the rapid advances of AI technology and aggressive investment on it, firms are increasingly adopting AI technology in their businesses. To adopt and implement new AI technology in their business, knowledge sourcing is important for them. In this knowledge sourcing, firms face challenges when it comes to applying internal or external R&D activities to profit from their AI adoption. This study did transaction cost-based empirical research on organizational boundary (make, buy or ally) decision and its impact on the firm performance when firms adopt new AI technologies. Using the DID (difference-in-difference) analysis, this paper examines the influence of AI adoption on firm performance and the role of a firm’s technological knowledge sourcing strategy. According to the findings, firms that rely on internal R&D have a greater firm performance. By providing a better understanding of the impact of AI adoption and its mechanism at firm level, this paper helps firms to set an appropriate innovation strategy on AI investments.
Advisors
Kim, Wonjoonresearcher김원준researcher
Description
한국과학기술원 :기술경영학부,
Publisher
한국과학기술원
Issue Date
2020
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 기술경영학부, 2020.2,[iii, 26 p. :]

Keywords

Artificial Intelligence▼aTechnology acquisition▼aFirm performance▼aInternal R&D▼aTransaction Cost Economics; 인공지능▼a기술취득▼a기업성과▼a내부연구개발▼a거래비용이론

URI
http://hdl.handle.net/10203/295063
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=986314&flag=dissertation
Appears in Collection
MG-Theses_Master(석사논문)
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