摘要
随着全球步入大数据时代,大数据产业作为战略性新兴产业备受关注。大数据产业生态系统良性演化能够为经济社会健康发展提供全方位支撑,系统内种群主体间关系的复杂多变和数据资源的频繁流动共同影响系统演化进程和路径选择。将Logistic模型与熵模型相结合,完整刻画、分析主体间竞合关系和系统资源流动状态,并在此基础上得出不同企业种群和系统集成演化路径:数据生产型企业业务数据集聚—多渠道数据拓展—数据智能化应用演化路径、数据服务型企业数据云聚合—高质量数据融合—数据资产化演化路径、转型企业业务信息网络化—流程再造数字化—服务应用智能化演化路径以及大数据产业生态系统大数据云存储处理中心建立—数据融合扩展—数智化应用种群集成演化路径。
With the continuous upgrading and popularization of the new generation of information technologies,such as cloud computing,mobile Internet,Internet of things and artificial intelligence,the world has stepped into the era of digital economy.As a strategic emerging industry,the big data industry has attracted extensive attention from all walks of life.The national big data strategy proposed at the Fifth Plenary Session of the 18th Central Committee of the Communist Party of China(CPC)has promoted China’s transformation from a"data big country"to a"data powerhouse".The Outline of the 14th Five-Year Plan issued by the state emphasizes accelerating the promotion of digital industrialization,promoting the digital transformation of industries,and creating a good digital ecology.The potential of big data is immeasurable,and those countries that are the first to establish a complete big data industry ecosystem have a head start in the international industry competition.Therefore,the construction of a complete big data industry ecosystem is of great significance for building a data power and improving national competitiveness.The research on the evolution path of the big data industrial ecosystem can timely and accurately judge the state of the system,clarify the development direction of the big data industrial ecosystem,and ensure the sustainable and healthy development of the big data industry ecosystem.In the evolution process of big data industrial ecosystem,on the one hand,subject populations with different characteristics develop symbiosis under the influence of the change of inter-subject relationship,and the population growth law conforms to the Logistic growth function model in biology.The Logistic model is widely used in the study of inter-subject relationship change,population evolution law and other issues,and has extensive practicality in the study of industrial evolution and development.At present,the academic community mainly uses the Logistic model to study the inter-subject relationship of different cate
作者
翟丽丽
刘晓珊
杨彩霞
Zhai Lili;Liu Xiaoshan;Yang Caixia(School of Economics and Management,Harbin University of Science and Technology,Harbin 150040,China)
出处
《科技进步与对策》
CSSCI
北大核心
2023年第1期50-60,共11页
Science & Technology Progress and Policy
基金
黑龙江省哲学社会科学研究规划项目(20JYB037)。
