大数据产业与装备制造业融合发展研究
|
摘要
大数据产业在各个领域的成功应用已发挥出巨大的价值,各行各业都试图利用其谋求新发展。随着中国制造走向了世界,装备制造企业在自主创新、信息化程度等方面有了更高的要求,传统装备制造业希望通过大数据新兴产业完成产业结构调整。在"中国制造2025"的大环境下,装备制造业与大数据产业融合成为必然趋势。分析不同类型大数据产业特征,从装备制造企业数据分析需求角度,探讨大数据服务产业、大数据整合产业、大数据挖掘产业与设计研发型、产品制造型、批发零售型及一体化的装备制造企业数据融合发展关系,提出大数据产业与装备制造业融合发展模式,为装备制造业借助大数据产业转型升级提供参考。
The successful application of big data industry in various fields has already played a great role,and all w alks of life are trying to use it to seek new development. With the M ade in China trend tow ards the w orld,the equipment manufacturing enterprises have higher requirements in terms of independent innovation and information technology, the traditional equipment manufacturing industry hopes to complete the industrial restructuring through big data emerging industries. Under the background of M ade in China 2025,the integration of equipment manufacturing industry and the big data industry has become an inevitable trend. The characteristics of different types of big data industry are analyzed. From the point of view of data analysis of equipment manufacturing enterprises, the integration development relationship is discussed betw een the big data service industry,the big data integration industry,the big data mining industry and the data of equipment manufacturing industry among the design and research style,the product manufacturing type,the w holesale and retail type enterprises. The integration development mode are put forw ard for the big data industry and equipment manufacturing industry,so as to provide reference for the transformation and upgrading of equipment manufacturing industry w ith the help of big data industry.
The successful application of big data industry in various fields has already played a great role,and all w alks of life are trying to use it to seek new development. With the M ade in China trend tow ards the w orld,the equipment manufacturing enterprises have higher requirements in terms of independent innovation and information technology, the traditional equipment manufacturing industry hopes to complete the industrial restructuring through big data emerging industries. Under the background of M ade in China 2025,the integration of equipment manufacturing industry and the big data industry has become an inevitable trend. The characteristics of different types of big data industry are analyzed. From the point of view of data analysis of equipment manufacturing enterprises, the integration development relationship is discussed betw een the big data service industry,the big data integration industry,the big data mining industry and the data of equipment manufacturing industry among the design and research style,the product manufacturing type,the w holesale and retail type enterprises. The integration development mode are put forw ard for the big data industry and equipment manufacturing industry,so as to provide reference for the transformation and upgrading of equipment manufacturing industry w ith the help of big data industry.
引文
[1] Manyika J,Chui M,Brown B,et al. Big data:the next frontier for innovation,competition,and productivity[R]. Mc Kinsey Global Institute,2011:1-137.
[2]杨善林,周开乐.大数据中的管理问题:基于大数据的资源观[J].管理科学学报,2015(5):1-8.
[3]程学旗,靳小龙,王元卓.大数据系统和分析技术综述[J].软件学报,2014,25(9):1889-1908.
[4]彭程,姚谦.我国大数据产业区域发展现状分析[J].西安邮电大学学报,2014,19(6):101-105.
[5]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(2):203-207.
[6]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.
[7]杨再高,罗谷松.借鉴美国经验,促进广州大数据产业发展[J].城市观察,2014(4):94-102.
[8]迪莉娅.我国大数据产业发展研究[J].科技进步与对策,2014(4):57-60.
[9] Viktor M S,Kenneth C. Big data:a revolution that w ill transform how w e live,w ork,and think[M].Boston:Eamon Dolan/Houghton M ifflin Harcourt,2013.
[10]王伟玲.大数据产业的战略价值研究与思考[J].技术经济与管理研究,2015(1):17-20.
[11]池莲.谈大数据产业形成路径及其产业集群发展动力机制[J].商业经济研究,2015(17):66-68.
[12]薛红吉.发展大数据产业,我国能否抢占先机?[EB/OL].[2013-06-20]. http://news. rfidworld.com. cn/2013_06/870e48cfa829cda6. html.
[13]张铁山,肖皓文,刘骐宁.大数据对高端装备制造业各环节商业模式的影响研究[J].商场现代化,2016(18):2-4.
[14]李艺,秦玉婷.基于钻石模型的现代服务业发展模式研究[J].沈阳工业大学学报(社会科学版),2013,6(1):77-83.
[15]西凤茹,王圣慧,李天柱,等.基于大数据产业链的新型商业模式研究[J].商业时代,2012(1):86-88.
[16]王永生.大数据时代的商业模式创新研究[J].南京财经大学学报,2013(6):47-51.
[17]林桂军,何武.中国装备制造业在全球价值链的地位及升级趋势[J].国际贸易问题,2015(4):3-15.
[18]段海燕,赵瑞君,佟昕.现代装备制造业与服务业融合发展研究——基于“互联网+”的视角[J].技术经济与管理研究,2017(1):119-123.
[19]唐晓华,刘相锋.中国装备制造业产业结构调整中外资修复作用的实证研究[J].数量经济技术经济研究,2016(2):144-155.
[20]张铁山,刘骐宁,肖皓文.大数据对高端装备制造业商业模式创新的影响研究[J].现代商业,2016(22):104-106.
[21]侯洪凤,任意,张泽宇.骨干装备制造企业大数据平台构建[J].经济研究导刊,2017(35):26-27.
[22]鹿崇.大数据:制造业业务增长的指南针[J].装备制造,2016(4):22-22.
[23]段清泉.“互联网+”下装备制造业商业模式变革与创新探讨[J].经济师,2016(2):73-74.
[24]周洪武.推进数字智能化加快装备制造业转型升级[J].企业管理,2013(11):112-113.
[2]杨善林,周开乐.大数据中的管理问题:基于大数据的资源观[J].管理科学学报,2015(5):1-8.
[3]程学旗,靳小龙,王元卓.大数据系统和分析技术综述[J].软件学报,2014,25(9):1889-1908.
[4]彭程,姚谦.我国大数据产业区域发展现状分析[J].西安邮电大学学报,2014,19(6):101-105.
[5]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(2):203-207.
[6]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.
[7]杨再高,罗谷松.借鉴美国经验,促进广州大数据产业发展[J].城市观察,2014(4):94-102.
[8]迪莉娅.我国大数据产业发展研究[J].科技进步与对策,2014(4):57-60.
[9] Viktor M S,Kenneth C. Big data:a revolution that w ill transform how w e live,w ork,and think[M].Boston:Eamon Dolan/Houghton M ifflin Harcourt,2013.
[10]王伟玲.大数据产业的战略价值研究与思考[J].技术经济与管理研究,2015(1):17-20.
[11]池莲.谈大数据产业形成路径及其产业集群发展动力机制[J].商业经济研究,2015(17):66-68.
[12]薛红吉.发展大数据产业,我国能否抢占先机?[EB/OL].[2013-06-20]. http://news. rfidworld.com. cn/2013_06/870e48cfa829cda6. html.
[13]张铁山,肖皓文,刘骐宁.大数据对高端装备制造业各环节商业模式的影响研究[J].商场现代化,2016(18):2-4.
[14]李艺,秦玉婷.基于钻石模型的现代服务业发展模式研究[J].沈阳工业大学学报(社会科学版),2013,6(1):77-83.
[15]西凤茹,王圣慧,李天柱,等.基于大数据产业链的新型商业模式研究[J].商业时代,2012(1):86-88.
[16]王永生.大数据时代的商业模式创新研究[J].南京财经大学学报,2013(6):47-51.
[17]林桂军,何武.中国装备制造业在全球价值链的地位及升级趋势[J].国际贸易问题,2015(4):3-15.
[18]段海燕,赵瑞君,佟昕.现代装备制造业与服务业融合发展研究——基于“互联网+”的视角[J].技术经济与管理研究,2017(1):119-123.
[19]唐晓华,刘相锋.中国装备制造业产业结构调整中外资修复作用的实证研究[J].数量经济技术经济研究,2016(2):144-155.
[20]张铁山,刘骐宁,肖皓文.大数据对高端装备制造业商业模式创新的影响研究[J].现代商业,2016(22):104-106.
[21]侯洪凤,任意,张泽宇.骨干装备制造企业大数据平台构建[J].经济研究导刊,2017(35):26-27.
[22]鹿崇.大数据:制造业业务增长的指南针[J].装备制造,2016(4):22-22.
[23]段清泉.“互联网+”下装备制造业商业模式变革与创新探讨[J].经济师,2016(2):73-74.
[24]周洪武.推进数字智能化加快装备制造业转型升级[J].企业管理,2013(11):112-113.