Research on the Path of Integrated Development of Digital Economy and Real Economy
This study breaks through the traditional industry boundary perspective and constructs a cross-industry collaborative integration model of the digital economy and the real economy. Based on an in-depth analysis of 12 industry cases in Asia, Europe and the United States, it is revealed for the first...
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/09/shsconf_icdde2025_03027.pdf |
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| Summary: | This study breaks through the traditional industry boundary perspective and constructs a cross-industry collaborative integration model of the digital economy and the real economy. Based on an in-depth analysis of 12 industry cases in Asia, Europe and the United States, it is revealed for the first time that the blockchain data governance system can reduce the risk of enterprise data leakage by 37% (p<0.05), which is 12 percentage points higher than similar studies. The innovative discovery that the blocking effect of organizational inertia on transformation is significantly higher than that of technical factors confirms that a flat management structure can speed up the digitalization process of enterprises by 28%. Different from the existing technological determinism paradigm, the study proposes a three- dimensional collaborative framework of “policy-technology-organization” (PTO) and verifies its theoretical validity through a cross-cultural case comparison of Haier Intelligent Manufacturing and Siemens Digital Factory. The specially constructed digital transformation maturity assessment matrix (DMAM) solves the dilemma of policy lag, and regional pilots show that it improves policy adaptation efficiency by 31%. The study provides a new analytical tool for the reconstruction of the global value chain and has forward-looking guiding value for industrial transformation under the impact of generative AI. |
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| ISSN: | 2261-2424 |