数据驱动制造业转型升级:动力机制诠构与双层逻辑递嬗  

Data-driven Transformation and Upgrading of the Manufacturing Industry:Interpretation of Dynamic Mechanisms and Two-tier Logical Evolution

作　　者：张勇[1] 李志伟 ZHANG Yong;LI Zhi-wei(School of Marine Science,Tangshan Normal University,Tangshan 063000,China;Faculty of History,Culture,and Law,Tangshan Normal University,Tangshan 063000,China)

机构地区：[1]唐山师范学院海洋学院,河北唐山063000 [2]唐山师范学院历史文化与法学系,河北唐山063000

出　　处：《唐山师范学院学报》2025年第1期72-80,共9页Journal of Tangshan Normal University

基　　金：教育部人文社会科学青年基金项目(21YJC790164);唐山师范学院科研基金项目(2022C08)。

摘　　要：数字经济背景下,制造业转型升级受技术进步、消费升级、要素结构演变与制度创新等多重因素作用。研究发现:数据驱动制造业转型依循底层业务到顶层生态创新的双层演进逻辑。数据通过贯通化的业务覆盖、要素化升级、场景化创新和平台化对接,赋能制造业产品定制化、生产柔性化、管理决策智能化和组织结构网络化,构筑形成制造业数字化生态群落和全生态的价值闭环。Under the background of the digital economy,the transformation and upgrading of the manufacturing industry is influenced by multiple factors,including technological progress,consumption upgrading,factor structure evolution,and institutional innovation.The research finds that data-driven manufacturing transformation follows the two-tier evolution logic,progressing from bottom-tier business operations to top-tier ecological innovation.Through comprehensive business coverage,factor-based upgrading,context-aware innovation,and platform integration,data enables manufacturing product customization,production flexibility,intelligent management decision-making,and networking of organizational structure,constructing a value-closed loop within the digital ecological community of manufacturing and across the entire ecosystem.

关 键 词：数据驱动 动力机制 底层布局 顶层逻辑 

分 类 号：F273[经济管理—企业管理]