大数据产业研究综述
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摘要
大数据产业是"十三五"规划建设的重要领域,关于大数据产业的文献研究是大数据产业科学发展的理论支撑和实践指导。本文从大数据的内涵及大数据产业的兴起、大数据产业与其他产业融合发展、国内外对大数据产业的研究进展三个方面对现有文献进行梳理,结合我国的发展实际指出当前迫切需要从理论上对大数据产业给予更多研究:学术界对于大数据内涵的理解尚未统一,但对其核心特征的观点基本一致;学者们对与商业、制造业、交通业等主要传统行业相关的大数据应用的研究较多,与电信、能源、金融、农业、食品、文化创意、公共安全等其他重要行业领域大数据应用的研究有待加强;关于我国大数据产业的发展现状,就大数据产业的发展阶段、竞争优势和发展趋势问题有所涉及,并反映出与国际先进水平间没有代际差距的现实,而发达国家政府及国外大企业对大数据产业的战略性定位和对重点领域的布局是值得我们高度重视的。
Big data industry is an important field of the 13 th five-year plan construction. The literature research on big data industry is the theoretical support and practical guidance for its scientific development. This paper sorts out the existing literature from the three aspects of the connotation and characteristics of big data, the rise and development of big data industry, the development of China's big data industry and the progress of foreign countries. And points out the urgent need to theoretically give more research directions in combination with China's actual development. Research shows that the academic community has not yet unified understanding of the connotation of big data, but the views on its core characteristics are basically the same; Scholars have studied many big data industrial phenomena related to major traditional industries such as commerce, manufacturing and transportation, and the application of big data in other important industries such as telecommunications, energy, finance, agriculture, food, cultural creativity and public security needs to be strengthened. The big data industry in China's development present situation, which is the big data industry development stage, competitive advantages and development trend are involved, and reflects the reality of no generation gap between the international advanced level, and foreign large enterprises and government in the rich world to the big data industry strategic positioning, which is worth for the layout of the key areas we attach great importance to.
Big data industry is an important field of the 13 th five-year plan construction. The literature research on big data industry is the theoretical support and practical guidance for its scientific development. This paper sorts out the existing literature from the three aspects of the connotation and characteristics of big data, the rise and development of big data industry, the development of China's big data industry and the progress of foreign countries. And points out the urgent need to theoretically give more research directions in combination with China's actual development. Research shows that the academic community has not yet unified understanding of the connotation of big data, but the views on its core characteristics are basically the same; Scholars have studied many big data industrial phenomena related to major traditional industries such as commerce, manufacturing and transportation, and the application of big data in other important industries such as telecommunications, energy, finance, agriculture, food, cultural creativity and public security needs to be strengthened. The big data industry in China's development present situation, which is the big data industry development stage, competitive advantages and development trend are involved, and reflects the reality of no generation gap between the international advanced level, and foreign large enterprises and government in the rich world to the big data industry strategic positioning, which is worth for the layout of the key areas we attach great importance to.
引文
[1] 中国新闻网.习近平:实施国家大数据战略加快建设数字中国[EB/OL].(2017-12-09)[2019-01-10].http://www.chinanews.com/gn/2017/12-09/8396414.shtml.
[2] TOFFLER.The third wave[M].New York:Bantam Books,1980.
[3] LANEY D.3-D Data Management:Controlling Data Volume,Velocity,and Variety[R].MEAT Group:2001.
[4] GRAHAM-ROWE D,GOLDSTON D,DOCTOROW C,et al.Big data:science in the petabyte era[J].Nature,2008,455(7209):8-9.
[5] Big data:The next frontier for innovation,competition,and productivity[R].USA:McKinsey and Company,2011.
[6] NIST.Big data working group[EB/OL].(2014-09-20)[2018-12-21].http://bigdatawg.nist.gov/home.php.
[7] 孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013,50(1):146-169.
[8] 张引,陈敏,廖小飞.大数据应用的现状与展望[J].计算机研究与发展,2013,50(S2):216-233.
[9] 彭宇,庞景月,刘大同.大数据:内涵、技术体系与展望[J].电子测量与仪器学报,2015(4):469-482.
[10] BARWICK H.The four Vs of Big data[EB/OL].(2018-12-21)[2019-01-21].https://www.thalesgroup.com/en/worldwide/four-vs-big-data.
[11] IBM.The 5 V′s of big data[EB/OL].(2016-09-17) [2018-12-21].https://www.ibm.com/blogs/watson-health/the-5-vs-of-big-data/.
[12] 黄永勤.国外大数据研究热点及发展趋势探析[J].情报杂志,2014,33(6):99-104.
[13] 代芯瑜,张文曦.我国大数据研究现状与热点分析[J].思想战线,2013,39(S2):149-154.
[14] 崔小委,吴新年.大数据应用促进大数据产业落地[J].科技管理研究,2016,36(2):203-207.
[15] 陈云海,黄兰秋.大数据处理对电子商务的影响研究[J].电信科学,2013,29(3):17-21.
[16] 张晞.大数据视域下连锁零售业电子商务发展研究[J].商业经济研究,2016(13):83-85.
[17] 刘锦峰.大数据背景下电子商务物流配送发展对策研究[J].商业经济研究,2017(2):98-99.
[18] FANG Z L,LI P J.The mechanism of “big data” impact on consumer behavior[J].American Journal of Industrial and Business Management,2014,4(1):45-50.
[19] ISMAIL M,IBRAHIM M M,SANUSI Z M,et al.Data mining in electronic commerce:benefits and challenges[J].International Journal of Communications Network and System Sciences,2015,8(12):501-509.http://dx.doi.org/10.4236/ijcns.2015.812045.
[20] 喻耀.大数据时代电子商务生态圈的构建逻辑及协同机理[J].华北水利水电大学学报(社会科学版),2016,32(4):35-37.
[21] 姚锡凡,周佳军,张存吉,等.主动制造:大数据驱动的新兴制造范式[J].计算机集成制造系统,2017,23(1):172-185.
[22] 黄明峰.工业大数据发展态势与典型应用[J].电信科学,2016,32(7):175-178.
[23] 孙立.工业大数据对智慧云制造的推动与创新[J].科技管理研究,2016,36(13):156-158.
[24] 李少波,陈永前.大数据环境下制造业关键技术分析[J].电子技术应用,2017,43(2):18-21.
[25] 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.
[26] ZAKI A M,THEODOULIDIS B,SHAPIRA P,et al.The Role of Big Data to Facilitate Redistributed Manufacturing Using a Co-creation Lens:Patterns from Consumer Goods[J].The soth CIRP Conference on Manufacturing Systems,2017,63:680-685.
[27] MOURTZIS D,VLACHOU E,MILAS N.Industrial Big Data as a Result of IoT Adoption in Manufacturing [J].Procedia Cirp,2016,55:290-295.http://doi.org/10.1016/j.procir.2016.07.038.
[28] 杨东援.通过大数据促进城市交通规划理论的变革[J].城市交通,2016,14(3):72-80.
[29] 陆化普,孙智源,屈闻聪.大数据及其在城市智能交通系统中的应用综述[J].交通运输系统工程与信息,2015,15(5):45-52.
[30] 陈美.大数据在公共交通中的应用[J].图书与情报,2012(6):22-28.
[31] 段宗涛,康军,唐蕾,等.车联网大数据环境下的交通信息服务协同体系[J].长安大学学报(自然科学版),2014,34(2):108-114.
[32] 韦结余,薛澜,周源.基于“互联网+交通”的移动出行行业发展的政策建议[J].现代管理科学,2017(3):9-11.
[33] 赵鹏军,李铠.大数据方法对于缓解城市交通拥堵的作用的理论分析[J].现代城市研究,2014(10):25-30.
[34] NéSTOR C B,RA,et al.Traffic Congestion Detection System through Connected Vehicles and Big Data[J].Sensors,2016,16(599):1-26.
[35] SUNDERRAIAN A,VISWANATHAN V,CAI W,et al.Traffic state estimation using floating car data[J].Procedia Computer Science,2016,80:2008-2018.
[36] 许晔.以大数据创新提升政府管理决策能力[J].科学管理研究,2017,35(3):10-12.
[37] 秦国民,王柏秀.大数据助力地方政府治理能力的提升[J].华北水利水电大学学报(社会科学版),2018,34(1):46-48.
[38] 钟裕民,许开轶.大数据与政府管理创新:国内研究进展与研究展望[J].当代世界与社会主义,2016(6):202-208.
[39] 陈扬扬.大数据对公共安全治理的价值与挑战[J].华北水利水电大学学报(社会科学版),2018,34(3):28-30.
[40] 郑洁.大数据时代我国意识形态安全面临的机遇、挑战与对策[J].教学与研究,2017(11):61-68.
[41] 李国英.“互联网+”背景下我国现代农业产业链及商业模式解构[J].农村经济,2015(9):29-33.
[42] 伍山林.大数据能否破解农产品滞销难题[J].人民论坛,2017(21):63-65.
[43] 王潇,张爱迪,严谨.大数据在医疗卫生中的应用前景[J].中国全科医学,2015,18(1):113-115.
[44] 孟润堂,罗艺,宇传华,等.健康大数据在公共卫生领域中的应用与挑战[J].中国全科医学,2015,18(35):4388-4392.
[45] BALAN,OTTO.Big data analysis of home healthcare services[J].Information Technology and Management Science,2016,19(1):53-56.
[46] 程长明,陈学云,周文超.大数据时代智慧健康养老产业创新的实现路径[J].华北水利水电大学学报(社会科学版),2017,33(5):92-95.
[47] 翟伟丽.大数据时代的金融体系重构与资本市场变革[J].证券市场导报,2014(2):47-50.
[48] 丁志勇.大数据与金融监管[J].中国金融,2016(20):60-61.
[49] 杨现民,王榴卉,唐斯斯.教育大数据的应用模式与政策建议[J].电化教育研究,2015,36(9):54-61.
[50] 胡弼成,王祖霖.“大数据”对教育的作用、挑战及教育变革趋势:大数据时代教育变革的最新研究进展综述[J].现代大学教育,2015(4):98-104.
[51] SONG I Y,ZHU Y.Big data and data science:opportunities and challenges of iSchools[J].Journal of Data and Information Science,2017,2(3):1-18.
[52] 俞立平.大数据与大数据经济学[J].中国软科学,2013(7):177-183.
[53] 朝乐门,马广惠,路海娟.我国大数据产业的特征分析与政策建议[J].情报理论与实践,2016,39(10):5-10.
[54] 迪莉娅.政府数据开放许可适用研究[J].图书馆,2014(6):91-93.
[55] 中国信息通信研究院.中国大数据产业分析报告[R/OL].(2017-03-30)[2018-12-21].http://www.199it.com/archives/577651.html.
[56] 陈立枢.中国大数据产业发展态势及政策体系构建[J].改革与战略,2015,31(6):144-147.
[57] 汪晓文,曲思宇,张云晟.中、日、美大数据产业的竞争优势比较与启示[J].图书与情报,2016(3):67-74.
[58] 张晓慧.大数据产业发展现状及问题解决对策[J].信息与电脑(理论版),2017(3):157-158.
[59] 周瑛,刘越.大数据产业发展影响因素研究[J].现代情报,2017,37(8):129-134.
[60] 沈志宏,姚畅,侯艳飞,等.关联大数据管理技术:挑战、对策与实践[J].数据分析与知识发现,2018,2(1):9-20.
[61] 何建国,陶婧.大数据时代管理会计机遇与挑战[J].财会通讯,2016(16):125-126.
[62] 罗志强,李才平.大数据时代的社会治理创新:挑战与变革[J].理论月刊,2017(3):172-176.
[63] GOLDSTON D.Data wrangling[J].Nature,2008,455(7209):15.
[64] HUBERMAN B A.Sociology of science:big data deserve a bigger audience[J].Nature,2012,482(7385):308.
[65] YIN C Y,ZHANG S,XI J W,et al.An improved anonymity model for big data security based on clustering algorithm[J].Concurrency and Computation Practice and Experience,2017,29(7):45-52.
[66] 宋之杰,杜亚莉.大数据产业发展及我国应对措施[J].燕山大学学报(哲学社会科学版),2014,15(2):99-104.
[67] 迪莉娅.我国大数据产业发展研究[J].科技进步与对策,2014,31(4):56-60.
[68] 汪晓文,杜欣.基于模糊评价的中国工业化与信息化融合发展测度研究[J].兰州大学学报(社会科学版),2014,42(5):88-97.
[69] 何宝宏,魏凯.2013大数据产业回顾与发展[J].电信技术,2014(1):10-12.
[2] TOFFLER.The third wave[M].New York:Bantam Books,1980.
[3] LANEY D.3-D Data Management:Controlling Data Volume,Velocity,and Variety[R].MEAT Group:2001.
[4] GRAHAM-ROWE D,GOLDSTON D,DOCTOROW C,et al.Big data:science in the petabyte era[J].Nature,2008,455(7209):8-9.
[5] Big data:The next frontier for innovation,competition,and productivity[R].USA:McKinsey and Company,2011.
[6] NIST.Big data working group[EB/OL].(2014-09-20)[2018-12-21].http://bigdatawg.nist.gov/home.php.
[7] 孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013,50(1):146-169.
[8] 张引,陈敏,廖小飞.大数据应用的现状与展望[J].计算机研究与发展,2013,50(S2):216-233.
[9] 彭宇,庞景月,刘大同.大数据:内涵、技术体系与展望[J].电子测量与仪器学报,2015(4):469-482.
[10] BARWICK H.The four Vs of Big data[EB/OL].(2018-12-21)[2019-01-21].https://www.thalesgroup.com/en/worldwide/four-vs-big-data.
[11] IBM.The 5 V′s of big data[EB/OL].(2016-09-17) [2018-12-21].https://www.ibm.com/blogs/watson-health/the-5-vs-of-big-data/.
[12] 黄永勤.国外大数据研究热点及发展趋势探析[J].情报杂志,2014,33(6):99-104.
[13] 代芯瑜,张文曦.我国大数据研究现状与热点分析[J].思想战线,2013,39(S2):149-154.
[14] 崔小委,吴新年.大数据应用促进大数据产业落地[J].科技管理研究,2016,36(2):203-207.
[15] 陈云海,黄兰秋.大数据处理对电子商务的影响研究[J].电信科学,2013,29(3):17-21.
[16] 张晞.大数据视域下连锁零售业电子商务发展研究[J].商业经济研究,2016(13):83-85.
[17] 刘锦峰.大数据背景下电子商务物流配送发展对策研究[J].商业经济研究,2017(2):98-99.
[18] FANG Z L,LI P J.The mechanism of “big data” impact on consumer behavior[J].American Journal of Industrial and Business Management,2014,4(1):45-50.
[19] ISMAIL M,IBRAHIM M M,SANUSI Z M,et al.Data mining in electronic commerce:benefits and challenges[J].International Journal of Communications Network and System Sciences,2015,8(12):501-509.http://dx.doi.org/10.4236/ijcns.2015.812045.
[20] 喻耀.大数据时代电子商务生态圈的构建逻辑及协同机理[J].华北水利水电大学学报(社会科学版),2016,32(4):35-37.
[21] 姚锡凡,周佳军,张存吉,等.主动制造:大数据驱动的新兴制造范式[J].计算机集成制造系统,2017,23(1):172-185.
[22] 黄明峰.工业大数据发展态势与典型应用[J].电信科学,2016,32(7):175-178.
[23] 孙立.工业大数据对智慧云制造的推动与创新[J].科技管理研究,2016,36(13):156-158.
[24] 李少波,陈永前.大数据环境下制造业关键技术分析[J].电子技术应用,2017,43(2):18-21.
[25] 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.
[26] ZAKI A M,THEODOULIDIS B,SHAPIRA P,et al.The Role of Big Data to Facilitate Redistributed Manufacturing Using a Co-creation Lens:Patterns from Consumer Goods[J].The soth CIRP Conference on Manufacturing Systems,2017,63:680-685.
[27] MOURTZIS D,VLACHOU E,MILAS N.Industrial Big Data as a Result of IoT Adoption in Manufacturing [J].Procedia Cirp,2016,55:290-295.http://doi.org/10.1016/j.procir.2016.07.038.
[28] 杨东援.通过大数据促进城市交通规划理论的变革[J].城市交通,2016,14(3):72-80.
[29] 陆化普,孙智源,屈闻聪.大数据及其在城市智能交通系统中的应用综述[J].交通运输系统工程与信息,2015,15(5):45-52.
[30] 陈美.大数据在公共交通中的应用[J].图书与情报,2012(6):22-28.
[31] 段宗涛,康军,唐蕾,等.车联网大数据环境下的交通信息服务协同体系[J].长安大学学报(自然科学版),2014,34(2):108-114.
[32] 韦结余,薛澜,周源.基于“互联网+交通”的移动出行行业发展的政策建议[J].现代管理科学,2017(3):9-11.
[33] 赵鹏军,李铠.大数据方法对于缓解城市交通拥堵的作用的理论分析[J].现代城市研究,2014(10):25-30.
[34] NéSTOR C B,RA,et al.Traffic Congestion Detection System through Connected Vehicles and Big Data[J].Sensors,2016,16(599):1-26.
[35] SUNDERRAIAN A,VISWANATHAN V,CAI W,et al.Traffic state estimation using floating car data[J].Procedia Computer Science,2016,80:2008-2018.
[36] 许晔.以大数据创新提升政府管理决策能力[J].科学管理研究,2017,35(3):10-12.
[37] 秦国民,王柏秀.大数据助力地方政府治理能力的提升[J].华北水利水电大学学报(社会科学版),2018,34(1):46-48.
[38] 钟裕民,许开轶.大数据与政府管理创新:国内研究进展与研究展望[J].当代世界与社会主义,2016(6):202-208.
[39] 陈扬扬.大数据对公共安全治理的价值与挑战[J].华北水利水电大学学报(社会科学版),2018,34(3):28-30.
[40] 郑洁.大数据时代我国意识形态安全面临的机遇、挑战与对策[J].教学与研究,2017(11):61-68.
[41] 李国英.“互联网+”背景下我国现代农业产业链及商业模式解构[J].农村经济,2015(9):29-33.
[42] 伍山林.大数据能否破解农产品滞销难题[J].人民论坛,2017(21):63-65.
[43] 王潇,张爱迪,严谨.大数据在医疗卫生中的应用前景[J].中国全科医学,2015,18(1):113-115.
[44] 孟润堂,罗艺,宇传华,等.健康大数据在公共卫生领域中的应用与挑战[J].中国全科医学,2015,18(35):4388-4392.
[45] BALAN,OTTO.Big data analysis of home healthcare services[J].Information Technology and Management Science,2016,19(1):53-56.
[46] 程长明,陈学云,周文超.大数据时代智慧健康养老产业创新的实现路径[J].华北水利水电大学学报(社会科学版),2017,33(5):92-95.
[47] 翟伟丽.大数据时代的金融体系重构与资本市场变革[J].证券市场导报,2014(2):47-50.
[48] 丁志勇.大数据与金融监管[J].中国金融,2016(20):60-61.
[49] 杨现民,王榴卉,唐斯斯.教育大数据的应用模式与政策建议[J].电化教育研究,2015,36(9):54-61.
[50] 胡弼成,王祖霖.“大数据”对教育的作用、挑战及教育变革趋势:大数据时代教育变革的最新研究进展综述[J].现代大学教育,2015(4):98-104.
[51] SONG I Y,ZHU Y.Big data and data science:opportunities and challenges of iSchools[J].Journal of Data and Information Science,2017,2(3):1-18.
[52] 俞立平.大数据与大数据经济学[J].中国软科学,2013(7):177-183.
[53] 朝乐门,马广惠,路海娟.我国大数据产业的特征分析与政策建议[J].情报理论与实践,2016,39(10):5-10.
[54] 迪莉娅.政府数据开放许可适用研究[J].图书馆,2014(6):91-93.
[55] 中国信息通信研究院.中国大数据产业分析报告[R/OL].(2017-03-30)[2018-12-21].http://www.199it.com/archives/577651.html.
[56] 陈立枢.中国大数据产业发展态势及政策体系构建[J].改革与战略,2015,31(6):144-147.
[57] 汪晓文,曲思宇,张云晟.中、日、美大数据产业的竞争优势比较与启示[J].图书与情报,2016(3):67-74.
[58] 张晓慧.大数据产业发展现状及问题解决对策[J].信息与电脑(理论版),2017(3):157-158.
[59] 周瑛,刘越.大数据产业发展影响因素研究[J].现代情报,2017,37(8):129-134.
[60] 沈志宏,姚畅,侯艳飞,等.关联大数据管理技术:挑战、对策与实践[J].数据分析与知识发现,2018,2(1):9-20.
[61] 何建国,陶婧.大数据时代管理会计机遇与挑战[J].财会通讯,2016(16):125-126.
[62] 罗志强,李才平.大数据时代的社会治理创新:挑战与变革[J].理论月刊,2017(3):172-176.
[63] GOLDSTON D.Data wrangling[J].Nature,2008,455(7209):15.
[64] HUBERMAN B A.Sociology of science:big data deserve a bigger audience[J].Nature,2012,482(7385):308.
[65] YIN C Y,ZHANG S,XI J W,et al.An improved anonymity model for big data security based on clustering algorithm[J].Concurrency and Computation Practice and Experience,2017,29(7):45-52.
[66] 宋之杰,杜亚莉.大数据产业发展及我国应对措施[J].燕山大学学报(哲学社会科学版),2014,15(2):99-104.
[67] 迪莉娅.我国大数据产业发展研究[J].科技进步与对策,2014,31(4):56-60.
[68] 汪晓文,杜欣.基于模糊评价的中国工业化与信息化融合发展测度研究[J].兰州大学学报(社会科学版),2014,42(5):88-97.
[69] 何宝宏,魏凯.2013大数据产业回顾与发展[J].电信技术,2014(1):10-12.
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