|
|
|
| Research on the Path of Improving Innovation Degree Based on Standard Data |
| Wu Feifei,Feng Jiaqi,Huang Lucheng,Miao Hong |
| （Department of Economics and Management，Beijing University of Technology，Beijing 100124，China） |
|
|
|
|
Abstract The degree of innovation plays an increasingly important role in the allocation of resources, but currently patents are often used as a measure of innovation. As the guidance of standards in the development of the industry has increased, the status of standards, which are important outputs of innovation, has become more prominent in the promotion of innovation. This research proposes a standard data based on the measurement of the standard innovation degree value, combined with the international and domestic innovation degree quadrant model, to study the path of innovation degree improvement in specific areas. In the research, the standards of the information technology application field are used as the analysis objects, and the standards issued by the International Organization for Standardization and the Chinese standards are used to determine the status of innovation in the application of information technology in various fields. The research results show that the level of international and domestic innovation in the application of information technology in both the office system and banking business is very low, and should be gradually phased out after the completion of industrial upgrading. The application of information technology in the field of health care has a good prospect for international development, but the level of domestic innovation Very low, which is the focus of this article. Then compare and analyze the specific content of international and domestic standards in the application of information technology in the field of health care, find the gap between China and international development, and innovate the information technology application areas in different regions of the quadrant based on the degree of international and domestic innovation. Promote reasonable suggestions.
|
|
Received: 04 March 2020
|
|
|
|
|
|
| [1] MILLSON M R.Exploring the moderating influence of product innovativeness on the organizational-integration-new product market success relationship[J].European Journal of Innovation Management,2013,16(3):317-334.[2] 靳来群,胡善成,张伯超.中国创新资源结构性错配程度研究[J].科学学研究,2019,37(3):545-555.[3] 肖仁桥,陈忠卫,钱丽.异质性技术视角下中国高技术制造业创新效率研究[J].管理科学,2018,31(1):48-68.[4] 马宗国.中小企业研究联合体自主创新能力提升路径研究[J].科研管理,2019,40(3):51-62.[5] 胡汉辉,邢华.产业融合理论以及对我国发展信息产业的启示[J].中国工业经济,2003(2):23-29.[6] 魏凤,钟永恒,周洪,等.基于产业信息分析的标准流发展态势数值研究[J].情报科学,2015,33(5):119-123.[7] NEBOJA STANKOVIＣ,IVADIN MICIＣ.Innovating and management of the knowledge base on the example of IT applications[J].Telematics and Informatics,2018,35(5):1461-1472.[8] 孙凤娥,田治威.区域创新效率提升之道:选择性保护还是全面开放[J].科技进步与对策,2019,36(8):35-43.[9] 韩先锋,宋文飞,李勃昕.互联网能成为中国区域创新效率提升的新动能吗[J].中国工业经济,2019(7):119-136.[10] 胡文安,罗瑾琏,钟竞.双元创新搜索视角下组织创新绩效的提升路径研究:领导行为的触发作用[J].科学学与科学技术管理,2017,38(4):60-72.[11] 张敬文,谢翔,陈建.战略性新兴产业协同创新绩效实证分析及提升路径研究[J].宏观经济研究,2015(7):108-117.[12] RUSSELL SEIDLE,KIMWANG.The degree of technological innovation:a demand heterogeneity perspective[J].Technological Forecasting and Social Change, 2017,12 (125):166-177.[13] 朱琳,汪雪锋,朱东华,等.基于技术多样性及扩散宽度的专家技术创新能力评价[J].情报杂志,2018,37(4):176-182.[14] 梁晓捷,王兵.基于专利信息的国内外钢铁产业技术创新能力评价[J].管理学报,2017,14(3):382-388.[15] 程雪,张庆普.高校跨学科创新团队知识互动程度评价研究[J].科技进步与对策,2019，36(16):117-124.[16] 舒辉,王媛.市场推进技术创新、专利、标准协同转化路径分析[J].科技进步与对策,2018,35(12):57-63.[17] 姜红,孙舒榆,吴玉浩.知识创新驱动的标准竞争行为研究:生命周期视角[J].情报杂志,2018,37(11):62-68.[18] 吴菲菲,黄鲁成.基于专利的新技术知识扩散力研究[J].科技进步与对策,2012,29(17):128-131. |
|
|
|
