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인공지능 소프트웨어 기업의 탐색행동과 혁신성과의 관계 : 제휴 포트폴리오 다양성의 조절효과

The Relationship between Search Behavior and Innovation Performance of AI Software Firm

정두희
산업개발연구소 (kyungsung university)|2020.12|산업혁신연구 (Journal of Industrial Innovation)|제36권 제4호|pp. 135-160|DOI 10.22793/indinn.2020.36.4.006

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참고문헌

키워드

인공지능혁신artificial intelligenceinnovation performancesoftware industry소프트웨어 산업탐색 다양성제휴 포트폴리오 다양성search diversityalliance portfolio diversity

초록

이 연구는 인공지능 소프트웨어 분야의 기업이 혁신성과를 높이는 전략적 방향성을 제시한다. 특별히 이 연구는 학습이론에 기반하여 기업의 적절한 탐색 전략의 중요성을 강조한다. 미국 소프트웨어 산업 중 인공지능 기술개발을 진행하는 112개 기업을 토대로 기업의 탐색 다양성과 혁신성과의 관계를 계량적으로 분석한다. 또한 제휴 파트너의 분야 및 기능별 분산의 정도를 의미하는 제휴 포트폴리오 다양성과 혁신성과의 직접적 관계를 분석한 이후, 탐색 다양성과 혁신성과의 관계에 제휴 포트폴리오 다양성이 어떠한 조절적 영향을 주는지를 분석한다. 이러한 분석 결과 인공지능 소프트웨어 산업의 경우는 기업의 탐색다양성과 혁신성과 사이에 역U자형의 비선형 관계가 존재하는 것으로 나타났다. 또한 제휴 포트폴리오 다양성은 이러한 탐색다양성과 혁신성과의 관계를 양의 방향으로 조절하는 것으로 나타났다. 이 연구는 인공지능 기술을 개발하여 혁신 성과를 높이는 데 관심을 갖는 연구자들과 실무자들에게 중요한 시사점을 제공한다.

Abstract

This study provides a strategic direction for firms in the field of AI software to increase innovation performance. Based on organizational learning theory, specifically, this study emphasizes the importance of an appropriate search strategy for companies. This study quantitatively analyze the relationship between the search diversity and innovation performance with the sample of 112 firms in the US software industry that are developing artificial intelligence technologies. After this base analysis, I additionally analyze direct relationship between alliance portfolio diversity and innovation performance, and how the alliance portfolio diversity has a moderating effect on the relationship between search diversity and innovation performance. As a result of this analysis, it was found that in the case of the artificial intelligence software industry, an inverted U-shaped nonlinear relationship exists between the search diversity and innovation performance. In addition, it was found that the alliance portfolio diversity positively moderates the relationship between search diversity and innovation performance.

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