大数据驱动传统产业转型升级的路径——基于大数据价值链视角
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摘要
随着数字经济的发展,数据化成为传统产业发展的方向。大数据作为当前数字经济的发展要素,能够驱动传统产业的转型升级,为传统产业的发展带来正向效应,解决当前传统产业成本高、信息化程度低等问题。通过对大数据的理论研究,立足于大数据价值链视角,挖掘大数据的价值内涵,明确大数据通过价值创造能够驱动传统产业转型升级。同时根据大数据价值链三要素数据量与数据质量、数据分析能力以及创新性思维,分别提出大数据驱动传统产业转型升级路径,即数据驱动路径、能力构建路径和思维双元路径,进而对传统产业的转型升级提出相关政策建议。
With the development of digital economy, data becomes the direction of traditional industry development.Big data, as the development factor of the current digital economy, can drive the transformation and upgrade of the traditional industry, bring positive effect to the development of the traditional industry, and solve the problems of the high cost and the low degree of informatization of the current traditional industry. Through theoretical study of big data, based on the perspective of big data value chain, this paper excavates the value connotation of big data, and it is clear that big data can drive the transformation and upgrading of traditional industries through value creation. At the same time, according to the data quantity, data quality, data analysis ability and innovative thinking of big data's value chain, this paper puts forward the path of big data driving traditional industrial transformation and upgrading,that is, data-driven path, capacity-building path and thought dual path, and then puts forward relevant policy recommendations for the transformation and upgrading of traditional industries.
With the development of digital economy, data becomes the direction of traditional industry development.Big data, as the development factor of the current digital economy, can drive the transformation and upgrade of the traditional industry, bring positive effect to the development of the traditional industry, and solve the problems of the high cost and the low degree of informatization of the current traditional industry. Through theoretical study of big data, based on the perspective of big data value chain, this paper excavates the value connotation of big data, and it is clear that big data can drive the transformation and upgrading of traditional industries through value creation. At the same time, according to the data quantity, data quality, data analysis ability and innovative thinking of big data's value chain, this paper puts forward the path of big data driving traditional industrial transformation and upgrading,that is, data-driven path, capacity-building path and thought dual path, and then puts forward relevant policy recommendations for the transformation and upgrading of traditional industries.
引文
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[3]STURGEON T,VAN BIESEBROECK J,GEREFFI G.Value chains,networks and clusters:reframing the global automotive industry[J].Journal of Economic Geography,2008,8(3):297-321.
[4]赵玉林,汪芳.我国高技术产业关联效应实证分析[J].经济问题探索,2007(1):6-13.
[5]CORREA C M.Considerations on the Standard Material Transfer Agreement under the FAO treaty on plant genetic resources for food and agriculture[J].Journal of World Intellectual Property,2006,9(2):137-165.
[6]刘虹涛,靖继鹏.信息技术对传统产业结构影响分析[J].情报科学,2002(3):333-336.
[7]RIFKIN J.The third industrial revolution:how lateral power is transforming energy,the economy,and the world[M].New York:Palgrave Macmillan,2011.
[8]中国信息通信研究院.中国数据经济发展白皮书(2017年)[R].北京:中国信息通信研究院,2017.
[9]许中正.大数据带来中国战略主动大机遇[J].经济研究参考,2016(7):49-56.
[10]陈德余,汤勇刚.大数据背景下产业结构转型升级研究[J].科技管理研究,2017,37(1):128-132.
[11]徐宗本,冯芷艳,郭迅华,等.大数据驱动的管理与决策前沿课题[J].管理世界,2014(11):158-163.
[12]汪涛武,王燕.基于大数据的制造业与零售业融合发展:机理与路径[J].中国流通经济,2018,32(1):20-26.
[13]达文波特.大数据分析:数据驱动的企业绩效优化、过程管理和运营决策[M].吴峻申,译.北京:机械工业出版社,2015.
[14]曾宇.大数据与区域经济发展[J].首都师范大学学报(社会科学版),2015(4):74-80.
[15]汪樟发,涂俊,张春霞.大数据商业模式与传统企业的转型创新[J].创新与创业管理,2014(2):115-127.
[16]迈尔-舍恩伯格,库克耶.大数据时代:生活、工作与思维的大变革[M].盛杨燕,周涛,译.杭州:浙江人民出版社,2013.