摘要
纺织服装产业正处于数字化转型的关键时期,但目前存在数据收集整合困难、市场发展不景气、企业盈利能力下降等问题.本文基于大数据赋能与数字化转型相关理论,探究大数据赋能在纺织服装行业的应用,探索出建设现代化生产要素体系、加快形成数智化行业新业态、建立基于数据化的决策流程、加强数字化人才培育和全面应用前沿数字技术等5种大数据赋能纺织服装行业数字化转型策略,以期推动纺织服装行业数字化转型发展,为其他传统行业利用大数据赋能实现数字化转型提供经验借鉴.
Abstract
s:The textile and garment industry is in a critical period of digital transformation,but there are currently problems such as difficulties in data collection and integration,sluggish market development,and declining corporate profitability.Based on the theory of big data empowerment and digital transformation,this paper explores the application of big data in the textile and apparel industry,explores five big data-enabled digital transformation strategies for the textile and garment industry,including building a modern production factor system,accelerating the formation of new formats in the digital intelligence industry,establishing a decision-making process based on data,strengthening the cultivation of digital talents,and comprehensively applying cutting-edge digital technology,in order to promote the digital transformation and development of the textile and garment industry,and provide experience for other traditional industries to use big data to enable digital transformation.
基金项目
安徽省高等学校省级质量工程项目(2022jyxm006)
安徽省自然科学基金面上项目(202302a04020062)
安徽省高校科学研究项目(2023AH050263)
维普
万方数据