기업의 AI지향성과 기술혁신성과
Firms’ AI Orientation and Technological Innovation Outcomes
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초록
인공지능 시장의 빠른 성장과 함께 관련 연구도 점점 더 주목받고 있다. 대다수 기존 연구가 기술 혁신의 중요성을 강조하지만, 기업의 인공지능 지향성과 기술 혁신 성과 간의 직접적인 관계를 탐구한 연구는 거의 없다. 본 연구는 인공지능 지향성이 기술 혁신 성과를 강화한다는 것을 입증하였으며, R&D 투자와 기업규모의 조절효과도 함께 살펴보았다. 본 연구 결과는 기업의 인공지능 지향성이 기술 혁신에 중요한 영향을 미친다는 것을 보여줬다. 연구 결과는 정책 입안자와 기업 의사 결정에 과학적 근거와 전략적 제안을 제공할 것이다.
Abstract
With the rapid growth of the AI market, related research is also gaining increasing attention. While existing studies emphasize the importance of technological innovation, few have directly explored the relationship between a firm’s AI orientation and its technological innovation performance. This study demonstrates that AI orientation enhances technological innovation performance and examines the moderating effects of R&D investment and firm size. The findings indicate that a firm's AI orientation plays a significant role in promoting technological innovation. These results provide policymakers and corporate decision-makers with scientific evidence and strategic recommendations.
참고문헌 (23)
- Annoni, A., "Artificial Intelligence: A European Perspective" (2018), Joint Research Centre, European Commission
- Aghion, P., "The Economics of Artificial Intelligence: An Agenda", pp.237~290 (2019), University of Chicago Press
- Baden-Fuller, C., "Business Models and Technological Innovation", Long Range Planning, 46, pp.419~426 (2013)
- Brynjolfsson, E., "The Business of Artificial Intelligence", Harvard Business Review, pp.3~11 (2017)
- Boeing, P., "The impact of China's R&D subsidies on R&D investment, technological upgrading and economic growth", Technological Forecasting and Social Change, 174, pp.121212~ (2022)
- Business Dynamics and Digitalisation, "Calvino, F.", OECD Publishing, ~, pp.OECD Science, Technology and Industry Policy Papers, 62 (2019)
- Choi, H., "Investing in hardware vs. software of digital systems for innovation outcomes : A contingency view", Technological Forecasting and Social Change, 202, pp.123316~ (2024)
- Choi, H., "Learning Through Firms’ Overseas Subsidiaries in the United States and China : Linking Host Country Environments into Technological Learning Outcome Types", Management International Review, 62(6), pp.885~914 (2022)
- Cockburn, I. M., "The Economics of Artificial Intelligence: An Agenda", pp.115~146 (2019), University of Chicago Press
- Echeberria, A. L., "Artificial Intelligence for Business: Innovation, Tools and Practices", pp.67~96 (2022), Springer International Publishing
- Furman, J., "AI and the Economy", Innovation Policy and the Economy, 19, pp.161~191 (2018)
- Hall, B. H., "Market Value and Patent Citations", The RAND Journal of Economics, 36, pp.16~38 (2005)
- Kim, T., "“Artificial Intelligence and Firm Performance,” Artificial intelligence focus and firm performance", Journal of the Academy of Marketing Science, 50(6), pp.1176~1197 (2021)
- Kumar, P., "Artificial intelligence(AI)-enabled CRM capability in healthcare : The impact on service innovation", International Journal of Information Management, 69, pp.102598~ (2023)
- Lee, K., "How Does Open Innovation Lead Competitive Advantage? A Dynamic Capability View Perspective", PLOS ONE, 14(11), pp.e0223405~ (2019)
- Li, D., "A study on artificial intelligence orientation and new venture performance", Asia Pacific Business Review, 29(5), pp.967~989 (2023)
- Pinski, M., "AI Literacy for the Top Management : An Upper Echelons Perspective on Corporate AI Orientation and Implementation Ability", Electronic Markets, 34(1), pp.24~ (2024)
- Rammer, C., "Artificial Intelligence and Industrial Innovation : Evidence from German Firm-Level Data", Research Policy, 51, pp.104555~ (2022)
- Svetlova, E., "AI Ethics and Systemic Risks in Finance", AI and Ethics, 2, pp.713~725 (2022)
- Wagner, D. N., "Economic Patterns in A World with Artificial Intelligence", Evolutionary and Institutional Economics Review, 17, pp.111~131 (2020)