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E-Commerce Letters 2025
企业数字化转型中的复杂网络：基于CiteSpace的可视化研究与未来展望
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Abstract:
本研究利用CiteSpace分析工具，对Web of Science和CNKI数据库的相关文献进行了可视化计量分析，系统揭示了企业数字化转型背景下复杂网络研究的热点演进特征与趋势。研究发现，国内学者更关注产业链协同、融资约束和网络安全治理等问题，而国际研究侧重于数字孪生、深度学习与复杂网络结构优化等前沿技术与方法应用。未来趋势将进一步突出技术驱动与网络协同治理，推动企业数字化转型的创新实践。
This study employs CiteSpace analysis tools to perform a visual quantitative analysis of relevant literature from the Web of Science and CNKI databases, systematically uncovering the evolutionary trends and key research areas of complex networks in the context of enterprise digital transformation. The study reveals that domestic scholars primarily focus on topics such as industrial chain collaboration, financing constraints, and network security governance, whereas international research emphasizes the application of advanced technologies and methodologies, including digital twins, deep learning, and complex network structure optimization. Future research trends will increasingly emphasize technology-driven strategies and network collaborative governance to foster innovation in enterprise digital transformation.
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