Digital Transformation Practice of Z Company and Enlightenment for Manufacturing Industry Development

The iterative breakthrough of digital technology is reshaping the global industrial competition pattern, and digital transformation has become an inevitable choice for the manufacturing industry to break away from traditional development paths and cultivate new drivers. As the world’s largest manufacturing country, China faces the development bottleneck of “large but not strong”. Traditional manufacturing has problems such as low production efficiency, uneven resource allocation, and to systematically explore Zoomlion’s digital transformation practice and its enlightenment for the manufacturing industry, this paper adopts a combination of multiple research methods to ensure the rigor and authenticity of the research. Guided by the Dynamic Capabilities Theory, this study constructs an analytical framework of “environmental perception- resource integration-capability reconstruction”, which helps to root the descriptive case details in mature management literature and enhance the theoretical depth of the research. First, the single-case depth study method is used to conduct in-depth analysis of Zoomlion’s transformation path, key measures, and implementation effects, focusing on the logical chain of “transformation stage-measure-effect” to explore the internal mechanism of digital transformation in manufacturing enterprises. Second, the literature research method is adopted to sort out domestic and foreign literature on digital transformation, new quality productive forces, intelligent manufacturing, and Dynamic Capabilities Theory, constructing the theoretical foundation of the research and clarifying the research context. Third, the policy analysis method is used to interpret the multi-level policy support system for China’s manufacturing digital transformation, such as the “14th Five-Year Plan Outline” and smart factory gradient cultivation policies, to clarify the external driving context of enterprise transformation. Fourth, the inductive method is used to summarize universal experience from Zoomlion’s specific practices and elevate individual enterprise experience to industry-wide reference value. In terms of data collection and analysis, this paper constructs a mutually verified data chain based on multiple authoritative sources: 1) Listed Company Annual Reports; 2) Industry Reports and Media Coverage from authoritative industry media and research reports released by industry associations; 3) Securities Company Research Reports: Provided by professional institutions such