大数据时代的异质性需求、网络化供给与新型工业化  

Heterogeneity demand, net supply and new industrialization at the mass data era

作　　者：张亚斌[1] 马莉莉[1] 

机构地区：[1]西北大学经济管理学院,陕西西安710127

出　　处：《经济学家》2015年第8期44-51,共8页Economist

基　　金：国家社会科学基金项目"产品内分工深化视角下中国经济发展方式转变路径研究"(09JL010);西安社会科学规划课题攻关项目"基于模块网络化的协同转型:丝绸之路经济带;关天经济圈;国际化大都市;省市共建大西安四位一体共生演化研究"(14J236)

摘　　要：在全球生产组织方式深刻变革的大数据时代,中国传统工业企业和新型工业化出现了全新的转型逻辑和实现契机。本文以解析大数据时代传统企业转型亟需破解的核心问题——异质性需求与网络化供给的内在逻辑入手,在分析"大数据"源泉、特征及思维转型的基础上,为传统工业企业转型发展提供了一个思路。本文认为,传统工业企业应通过三维视角构建转型路径,即累积数据资产,构建"数据驱动型"企业;实施开放式创新战略,重构工业企业竞争力;融入智慧型网络组织,实现企业协同转型。同时,从发展方式、产业升级、创新驱动、国际竞争四个层面,为中国的新型工业化发展提供了战略调整思路。At the mass data era of profound reforms in global production organization pattern, there are bran-new transition logic and opportunities in Chinese traditional industrial firms and new industrialization. This article analyzes the key issue-- inner logic of heterogeneity demand and net supply--which are necessary to solve for the transition of traditional firms at this mass data era, analyzes the source, features and thinking transition of ＂mass data＂, and proposes a thinking for the development of the transition of traditional industrial firms. This article holds that they should set up transition path, i.e. accumulated data as- sets through a three-dimensional perspective, and set up ＂data-driven＂ firms; adopt opening innovative strategy, and re-construct their competitiveness; integrate into intelligent net organizations, and realize synergistic transition among firms. Meanwhile, this article also provides the thinking for adjusting strategy for the development of new industrialization in China from four aspects, i.e. development pattern, industrial upgrading, innovation driving, and international competition.

关 键 词：大数据时代 异质性需求 网络化供给 新型工业化 

分 类 号：F270[经济管理—企业管理]