摘要
通过技术预见选择能产生最大经济社会效益的战略研究领域,对大数据产业发展具有重要作用。本文分析了大数据产业重点领域选择的影响因素、调研方法、评价指标体系和评价模型。在此基础上,采用层次分析法确定指标权重,运用模糊综合评价法对备选领域进行综合评价,综合考虑定量和定性的分析结果,研判了辽宁省大数据产业的重点领域,并提出相应的政策建议。
It is of vital function for the development through the technology foresight, which produces the of big data industry to choose the strategic research field greatest economic and social benefits. This paper analyses the influence factors, investigations method evaluation index system and evaluation model of the focus areas of big data industry. Futhermore, this paper decides the weight of the evaluation indices by using analytical hierarchy process, and selects the candidate fields with fuzzy comprehensive evaluation method. It determines the focus areas of big data industry by synthetically considering the qualitative and quantitative analysis results, and puts forward the corresponding policy recommendations.
作者
王倩
李天柱
WANG Qian LI Tianzhu(Business School, University of Science and Technology Liaoning, Anshan 114044, Liaoning, China)
出处
《科学与管理》
2017年第4期52-58,共7页
Science and Management
基金
国家自然科学基金项目(71372121
71472080)
辽宁省自然科学基金项目(2015020067)
辽宁省社会科学规划基金项目(L15BGL004)
关键词
大数据
技术预见
产业重点领域选择
德尔菲法
Big data
Technology foresight
Selection of industrial focus areas
Delphi method
