基于工业大数据的制造企业变革管理模型研究

Research on manufacturing enterprise change management model based on industrial big data

摘要:

工业大数据是实现“工业4.0”及“中国制造2025”的核心驱动要素。本文研究工业大数据环境下我国制造企业如何创新和智能化转型升级的变革管理问题，为推动工业大数据在我国制造业成功落地奠定理论基础。采用文献分析法，本文探讨了工业大数据的应用可能在我国制造企业引起的技术、个人与组织变革；同时挖掘了可能影响这一系列变革的阻碍因素。为了解决工业大数据实施过程中的变革阻力，本文提出了四类变革干预措施并构建了制造企业变革管理模型。相关成果可为制造企业基于工业大数据的信息化建设提供理论依据和参考。

Abstract:

Industrial big data is the core driving factor for realizing “Industry 4.0”and “Made in China 2025”. This paper studies the issues about how Chinese manufacturing enterprises innovate and transform intelligently in the context of industrial big data from change management view, which lays a theoretical foundation for successful implementation of industrial big data in China’s manufacturing industry. By means of literature analysis method, this paper explores the technological, individual and organizational changes that caused by the application of industrial big data in China’s manufacturing enterprises. Meanwhile, obstacles affected by a series of changes are also investigated. In order to solve the resistance in the implementation of industrial big data, four types of intervention are proposed and a change management model for manufacturing enterprises is developed in this paper. The results can provide theoretical basis and reference for the information construction of manufacturing enterprises based on industrial big data.