随着新兴数字技术的飞速发展,数据成为具有基础性和战略性意义的新型生产要素,在国内制造业企业发展面临阻力的背景下,数据赋能作为制造业企业高质量发展的新路径备受关注。本文结合现实需求,在理清数据赋能、制造业企业数字化转型以及数据价值链理论演进的基础上,开发构建了制造业企业数据赋能指标体系和相对应的数据赋能成熟度等级划分模型,应用层次分析法确定指标体系权重并基于模糊综合评价法给出应用指导。本研究为数据赋能领域的研究人员提供了制造业企业数据赋能的具体细节展示,也为制造业企业提供了评估自身数据赋能水平的方法与工具,有助于制造业企业通过数据赋能实现转型升级,迈向高质量发展。

With the rapid development of new digital technology, data has become a new factor of production with fundamental and strategic significance. In the context of domestic manufacturing enterprises facing development resistance, data empowerment as a new path of high-quality development of manufacturing enterprises has attracted much attention. Combining with the reality demand, in sorting out the data assigned to digital transition, manufacturing enterprises as well as the data on the basis of the evolution of the value chain theory, development to build an index system of manufacturing enterprise data fu can differentiate assigned to maturity levels and data model, using the analytic hierarchy process (AHP) to determine the index weight and application guidance is given based on fuzzy comprehensive evaluation method. This study provides researchers in the field of data empowerment with the detailed display of data empowerment of manufacturing enterprises, and also provides methods and tools for manufacturing enterprises to evaluate their own data empowerment level, which helps manufacturing enterprises to achieve transformation and upgrading through data empowerment and move toward high-quality development.

C936；

国家自然科学基金面上项目“互联网效应下基于众包模式的协同激励机制研究”(71672029)；国家自然科学基金面上项目“复杂适应系统视角下的众包平台激励机制研究”(72172031)；首批新文科研究与改革实践项目“‘工商管理+大数据’专业建设研究与实践”(序号：745)；2020年辽宁省“兴辽英才计划”项目“数字辽宁发展战略研究”(XLYC2006009)。