This study seeks to examine the relationships among artificial intelligence capability (AIC), business model innovation (BMI), and the competitive advantage of enterprises (CAE) within the framework of dynamic capabilities theory. It specifically focuses on how small and medium-sized (SMEs) enterprises utilise artificial intelligence capability to foster business model innovation in a digital context, thereby attaining a sustainable competitive advantage.
This study utilises a questionnaire survey to gather empirical data from 546 SMEs in China. Structural equation modelling was employed for quantitative analysis to examine the direct effect of artificial intelligence capabilities on competitive advantage, alongside the mediating role of business model innovation.
Research indicates that three primary components of artificial intelligence capabilities, tangible resources, intangible resources, and skill resources, exert a significant positive influence on a company's competitive advantage. At the same time, business model innovation serves as a mediating factor within this relationship. Moreover, the findings underscore the necessity for firms to proactively adapt to technological advancements and to foster the synergistic development of artificial intelligence capabilities alongside business model innovation to enhance their competitiveness in a rapidly evolving environment.
This study extends the dynamic capabilities theory from the perspective of artificial intelligence, proposing AI capability as a systemic and multidimensional dynamic capability, emphasising its transformative role in the ways small and medium-sized enterprises create and capture value. The research not only enriches the theoretical understanding in the field of artificial intelligence but also offers practical insights and policy recommendations for SMEs on how to achieve a competitive advantage through the development of AI capabilities.
