Abstract：The practical constraints of high heterogeneity and semi-standardized production models in manufacturing industry inevitably lead to multiple paradoxes in the digital transformation of the manufacturing industry.The key to resolving these paradoxes lies in understanding technological affordance,which fundamentally captures the potential of digital technology to play a role in organizations.From the perspective of technological affordance,context-driven innovation and the small language models that are compatible with it provide an effective theoretical analysis framework for manufacturing to gain a digital competitive advantage.Based on the coupling mechanism between the heterogeneity of business contexts and the adaptability of specialized small language models,the grand proposition of“digital transformation”is decomposed into several“micro-innovations”that are solvable,assessable,and reusable,ultimately achieving digital competitive advantage in the manufacturing industry.By taking classified contexts as the entry point to promote the precise compilation of knowledge model lists,using key contexts as the breakthrough point to optimize the in-depth customization of small language models,and taking cross-context collaboration as the medium to implement the community-based construction of the model ecosystem,the advanced path of China's manufacturing digital transformation driven by context innovation will be achieved.
范昕若. 场景驱动创新、小模型适配与中国制造业的数字化转型[J]. 中国科技论坛, 2026(7): 70-78.
Fan Xinruo. Context-Driven Innovation,Small Language Models Adaptation and the Digital Transformation of China's Manufacturing Industry. , 2026(7): 70-78.
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