A study on the relationship between knowledge spillover, organizational learning, and corporate innovation

Xinlu Yu ()

Journal of Contemporary Research in Business, Economics and Finance, 2025, vol. 7, issue 2, 56-70

Abstract: This article examines the relationship between knowledge spillovers, organizational learning, and corporate innovation, drawing on the absorptive capacity theory, the knowledge-based view, and the innovation ecosystem theory. From the perspective of absorptive capacity theory, knowledge spillover provides internal knowledge for enterprises; organizational learning is crucial for transforming this knowledge into endogenous capacity. Consequently, the resilience of the innovation chain ensures process stability. Based on the knowledge-based view, knowledge is central to innovation; knowledge spillover compensates for enterprise shortcomings, while organizational learning builds an internal knowledge base. The resilience of the innovation chain maintains knowledge supply. Under the innovation ecosystem theory, knowledge spillover enriches system resources; organizational learning enhances enterprise adaptability; innovation chain tenacity ensures system stability; and artificial intelligence regulates the relationships among various elements to promote innovation. The study reveals the dynamic mechanisms among these components and offers a theoretical reference for enterprises seeking to enhance their innovation capabilities.

Keywords: Artificial intelligence; Enterprise innovation; Knowledge spillover; Organizational learning. (search for similar items in EconPapers)
Date: 2025
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