Evaluation on Technology Innovation Efficiency of Big Data Enterprises Based on DEA

Xinpu Wang, Mu Zang
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引用次数: 2

Abstract

Data become the basic strategic resources of the country. The Platform for Action to Promote Big Data Development and the Big Data Industry Development Plan (2016–2020) issued by the State Council and the Ministry of Industry and Information Technology in 2015 have aroused strong repercussion. “Outline” points out that encouraging financial institution to strengthen and improve financial services, increase support for big data enterprises, and continue to enhance the prosperity of the big data industry. The Development Planning of Big Data Industry (2016–2020) [1] proposes that promoting the development of big data industry is of great significance to improving government governance ability, optimizing public services for people’s livelihood, promoting economic transformation and innovation and development; studying and establishing an evaluation system for the development of big data industry is of great significance to the construction of big data resources, the degree of openness and sharing, the ability of industrial development and the level of application in China and other regions. It is of great significance to monitor, analyze and evaluate the development of the big data industry, compile and publish the development index of the big data industry, and guide and evaluate the development of the national big data.
基于DEA的大数据企业技术创新效率评价
数据成为国家的基本战略资源。2015年国务院、工业和信息化部发布的《促进大数据发展行动纲要》和《大数据产业发展规划(2016-2020年)》引起强烈反响。《纲要》指出,鼓励金融机构加强和改进金融服务,加大对大数据企业的支持力度,持续促进大数据产业繁荣发展。《大数据产业发展规划(2016-2020年)》[1]提出,推进大数据产业发展,对提高政府治理能力、优化公共民生服务、促进经济转型和创新发展具有重要意义;研究建立大数据产业发展评价体系,对中国和其他地区大数据资源建设、开放共享程度、产业发展能力和应用水平具有重要意义。对大数据产业发展进行监测、分析和评价,编制和发布大数据产业发展指标,指导和评价国家大数据发展具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
0.70
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0.00%
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24
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12 weeks
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