Logic Mechanism and Development Strategy of AIGC-enabled Intelligent Manufacturing Transformation of Pharmaceutical Manufacturing Enterprises
DOI:
https://doi.org/10.53469/ijomsr.2025.08(04).14Keywords:
Artificial intelligence generated content (AIGC), Intelligent manufacturing, Pharmaceutical manufacturing enterprises, Dynamic capabilitiesAbstract
Currently pharmaceutical manufacturing enterprises are facing the urgent need for digital and intelligent transformation, but how to efficiently use emerging technologies to promote transformation is still an important issue. Based on dynamic capability theory, this paper explores how generative artificial intelligence generated content (AIGC) empowers intelligent manufacturing transformation of pharmaceutical manufacturing enterprises, and combs through its logical mechanism and development strategy. The study shows that AIGC has a profound impact on intelligent manufacturing in terms of knowledge generation, decision optimisation, process automation, etc., and can significantly improve the innovation ability and market responsiveness of enterprises. The research in this paper helps to deepen pharmaceutical manufacturing enterprises' understanding of AIGC-enabled intelligent manufacturing, provide theoretical guidance for enterprise practice, and provide valuable references for policy makers.
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