[Purpose] This study proposed a mediating relationship model in which dynamic capabilities influence a company's artificial intelligence (AI) capabilities, which subsequently affect its responsiveness to environmental changes. In addition, the moderat...
[Purpose] This study proposed a mediating relationship model in which dynamic capabilities influence a company's artificial intelligence (AI) capabilities, which subsequently affect its responsiveness to environmental changes. In addition, the moderating effect of firm size on these relationships was examined. The results demonstrated that the integration of dynamic capabilities and AI capabilities significantly enhances a company's ability to effectively respond to market fluctuations.
[Methodology] To this end, the components for evaluating a company's AI capabilities were defined, and the determinants of relevant dynamic capabilities as well as the level of responsiveness to environmental changes were identified. A mobile survey was conducted with business operation managers, yielding 305 valid responses, which were analyzed using SPSS 23.
[Findings]The results revealed that dynamic capabilities had a positive effect on responsiveness to environmental changes, with a significant indirect effect mediated by AI capabilities. Dynamic capabilities positively influenced AI capabilities, which in turn positively affected responsiveness. Furthermore, firm size moderated the relationship between AI capabilities and responsiveness, with small and venture firms exhibiting a stronger moderating effect than medium and large firms. However, no significant moderating effect of firm size was observed in the relationship between dynamic capabilities and AI capabilities.
[Implications]These results confirmed that companies' AI capabilities had a positive impact on their performance through inter-organizational integration and spillover effects by connecting and optimizing resources and competencies. By systematically identifying the components of AI capabilities, this study suggested that these could serve as performance indicators for evaluating a firm's ability to adapt to external environment and innovate. Furthermore, we found that AI capabilities had a greater effect on small and venture firms, confirming that these firms possessed the potential to gain a competitive advantage through the adoption of AI. These findings offer important implications for fostering a virtuous cycle of corporate growth by revitalizing domestic SMEs. Finally, the combination of dynamic capabilities and AI technology was shown to create new business opportunities. The practical implication is that companies should recognize AI as a strategic asset and internalize AI capabilities through an integrated strategy.