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This study investigates the intricate relationship between top management capability, relational capability, technological capability, learning capability, innovation strategy, and innovation performance within the context of high-technology Small and Medium Enterprises (SMEs) in China. Through a synthesis of the Resource-Based View and Dynamic Capability Theory, this research delves into how these diverse capabilities intersect to shape innovation outcomes in a rapidly evolving market landscape. Drawing upon empirical data collected from a comprehensive sample of high-tech SMEs operating across various industries in China, this study examines how top management capability influences the firms strategic direction and innovation agenda. Furthermore, the research explores the role of relational capability in fostering collaborative relationships with stakeholders, such as customers, suppliers, and partners, to access valuable resources and knowledge for innovation initiatives. Moreover, the study investigates how technological capability enables firms to harness advanced technologies and expertise to drive innovation, while learning capability facilitates the absorption, assimilation, and application of new knowledge and insights to fuel continuous innovation efforts. Through an analysis of innovation strategies adopted by high-tech SMEs and their alignment with dynamic capabilities, this research elucidates the mechanisms through which firms leverage their diverse capabilities to formulate and execute effective innovation strategies, ultimately impacting innovation performance. The findings contribute to both theoretical understanding and practical implications, providing insights for high-tech SMEs in China on how to develop and leverage dynamic capabilities across multiple dimensions to enhance innovation performance and achieve sustainable competitive advantage in todays dynamic business environment.
Yang et al. (2024) studied this question.