基于突变理论的技术创新形成机理研究
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摘要
技术创新对地区经济发展具有重要的推动作用,是提高创新能力和强化核心竞争力的关键途径。立足于知识聚合视角,在分析技术创新熵变和突变特性的基础上,对技术创新形成机理进行隐喻分析;借鉴突变理论中的尖点突变模型构建技术创新形成机理模型,并选取系统内部知识为状态变量,系统外部知识引起的负熵和系统内部知识引起的熵增为控制变量,深入分析技术创新的形成机理。研究表明:技术创新形成机理由技术创新孕育阶段、渐进性技术创新形成阶段和突破性技术创新形成阶段三个环节构成。最后从构建系统内部知识共享机制、增加系统外部知识引入、建立系统内外部知识聚合机制及完善技术创新支撑体系四个方面,提出了促进技术创新形成的相关策略。
Technology innovation is the key way to enhance innovation capability and strengthen core competitiveness, which has an important role in the development of regional economies. Based on the perspective of knowledge aggregation, on the basis of analyzing the entropy change and mutation characteristics of technology innovation, this paper makes a metaphorical analysis for the formation mechanism of technology innovation. This paper uses the cusp catastrophe model in catastrophe theory to build the formation mechanism model of technology innovation and chooses internal knowledge as the state variable, negative entropy caused by external knowledge and entropy increases caused by internal knowledge as control variables. Then it analyzes the formation mechanism of technology innovation in depth. The results show that the formation mechanism of technology innovation is composed of three phases: technology innovation inception phase, the formation phase of incremental technology innovation and the formation phase of radical technology innovation. Finally, we put forward relevant strategies to promote the formation of technology innovation from four aspects: building the sharing mechanism of internal knowledge, increasing the introduction of external knowledge, establishing knowledge aggregation mechanism of internal and external knowledge and improving the support system of technology innovation.
Technology innovation is the key way to enhance innovation capability and strengthen core competitiveness, which has an important role in the development of regional economies. Based on the perspective of knowledge aggregation, on the basis of analyzing the entropy change and mutation characteristics of technology innovation, this paper makes a metaphorical analysis for the formation mechanism of technology innovation. This paper uses the cusp catastrophe model in catastrophe theory to build the formation mechanism model of technology innovation and chooses internal knowledge as the state variable, negative entropy caused by external knowledge and entropy increases caused by internal knowledge as control variables. Then it analyzes the formation mechanism of technology innovation in depth. The results show that the formation mechanism of technology innovation is composed of three phases: technology innovation inception phase, the formation phase of incremental technology innovation and the formation phase of radical technology innovation. Finally, we put forward relevant strategies to promote the formation of technology innovation from four aspects: building the sharing mechanism of internal knowledge, increasing the introduction of external knowledge, establishing knowledge aggregation mechanism of internal and external knowledge and improving the support system of technology innovation.
引文
[1] 罗洪云,张庆普. 知识管理视角下新创科技型小企业突破性技术创新过程研究[J]. 科学学与科学技术管理, 2015, 36(3): 143-151.
[2] Chen F Q, Meng Q S, Li X Y. Cross-border post-merger integration and technology innovation: A resource-based view [J]. Economic Modelling, 2018, 68(1): 229-238.
[3] Buesa M, Heijs J, Baumert T. The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach [J]. Research Policy, 2010, 39(6): 722-735.
[4] 杜丹丽,曾小春. 速度特征视角的我国高新技术企业创新能力动态综合评价研究[J]. 科研管理, 2017, 38(7): 44-53.
[5] 王锐淇. 我国区域技术创新能力空间相关性及扩散效应实证分析——基于1997-2008空间面板数据[J]. 系统工程理论与实践, 2012, 32(11): 2419-2432.
[6] 吴传清,黄磊,文传浩. 长江经济带技术创新效率及其影响因素研究[J]. 中国软科学, 2017,(5): 160-170.
[7] 王伟,邓伟平. 高技术产业三阶段创新效率及其影响因素分析——基于EBM模型和Tobit模型[J].软科学, 2017, 31(11): 16-20.
[8] Raab R A, Kotamraju P. The efficiency of the high-tech economy: Conventional development indexes versus a performance index [J]. Journal of Regional Science, 2006, 46(3): 545-562.
[9] 王海龙,连晓宇,林德明. 绿色技术创新效率对区域绿色增长绩效的影响实证分析[J]. 科学学与科学技术管理, 2016, 37(6): 80-87.
[10] 易明,彭甲超,俞艳霞. 我国高新技术产业技术创新效率评价及提升对策研究[J]. 宏观经济研究, 2017,(11): 60-68.
[11] 王家庭,单晓燕. 我国区域技术创新的效率测度及动态比较[J]. 中国科技论坛, 2010,(11): 73-78.
[12] 邹波,张庆普,田金信. 大学—产业—政府技术创新系统耗散结构形成机理分析[J]. 自然辩证法研究, 2008, 24(8): 47-51.
[13] 张建民. 试论区域技术创新能力的形成机理[J]. 云南财经大学学报, 2010, 26(6): 105-110.
[14] 雷宏振,张子超. 基于路径转换的企业蛙跳技术创新形成机理分析[J]. 科学学与科学技术管理, 2010, 31(7): 78-82.
[15] 仵凤清,郝涛,高林. 基于系统动力学的企业技术创新网络形成机理研究[J]. 技术与创新管理, 2016, 37(4): 350-356.
[16] 付玉秀,张洪石. 突破性创新:概念界定与比较[J]. 数量经济技术经济研究, 2004,(3): 73-83.
[17] Akbar H, Tzokas N. An exploration of new product development’s frontend knowledge conceptualization process in discontinuous innovations [J]. British Journal of Management, 2013, 24(2): 245-263.
[18] Laursen K, Salter A. Open for innovation: The role of openness in explaining innovation performance among U.K. manufacturing firms [J]. Strategic Management Journal, 2006, 27(2): 131-150.
[19] Zhou K Z, Li C B. How knowledge affects radical innovation: Knowledge base, market knowledge acquisition, and internal knowledge sharing [J]. Strategic Management Journal, 2012, 33(9): 1090-1102.
[20] Harmaakorpi V, Melkas H. Knowledge management in regional innovation networks: The case of Lahti, Finland [J]. European Planning Studies, 2005, 13(5): 641-659.
[21] 李亚婷. 知识聚合研究述评[J]. 图书情报工作, 2016, 60(21): 128-136.
[22] 张志峰, JINDALV. 基于尖点突变的制造系统耗散结构模型及其度量[J]. 机械工程学报, 2011, 47(14): 192-198.
[23] 许爱萍. 产业技术创新实现路径的“黑箱”过程——基于路径依赖视角的分析[J]. 技术经济, 2014, 33(5): 35-39.
[2] Chen F Q, Meng Q S, Li X Y. Cross-border post-merger integration and technology innovation: A resource-based view [J]. Economic Modelling, 2018, 68(1): 229-238.
[3] Buesa M, Heijs J, Baumert T. The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach [J]. Research Policy, 2010, 39(6): 722-735.
[4] 杜丹丽,曾小春. 速度特征视角的我国高新技术企业创新能力动态综合评价研究[J]. 科研管理, 2017, 38(7): 44-53.
[5] 王锐淇. 我国区域技术创新能力空间相关性及扩散效应实证分析——基于1997-2008空间面板数据[J]. 系统工程理论与实践, 2012, 32(11): 2419-2432.
[6] 吴传清,黄磊,文传浩. 长江经济带技术创新效率及其影响因素研究[J]. 中国软科学, 2017,(5): 160-170.
[7] 王伟,邓伟平. 高技术产业三阶段创新效率及其影响因素分析——基于EBM模型和Tobit模型[J].软科学, 2017, 31(11): 16-20.
[8] Raab R A, Kotamraju P. The efficiency of the high-tech economy: Conventional development indexes versus a performance index [J]. Journal of Regional Science, 2006, 46(3): 545-562.
[9] 王海龙,连晓宇,林德明. 绿色技术创新效率对区域绿色增长绩效的影响实证分析[J]. 科学学与科学技术管理, 2016, 37(6): 80-87.
[10] 易明,彭甲超,俞艳霞. 我国高新技术产业技术创新效率评价及提升对策研究[J]. 宏观经济研究, 2017,(11): 60-68.
[11] 王家庭,单晓燕. 我国区域技术创新的效率测度及动态比较[J]. 中国科技论坛, 2010,(11): 73-78.
[12] 邹波,张庆普,田金信. 大学—产业—政府技术创新系统耗散结构形成机理分析[J]. 自然辩证法研究, 2008, 24(8): 47-51.
[13] 张建民. 试论区域技术创新能力的形成机理[J]. 云南财经大学学报, 2010, 26(6): 105-110.
[14] 雷宏振,张子超. 基于路径转换的企业蛙跳技术创新形成机理分析[J]. 科学学与科学技术管理, 2010, 31(7): 78-82.
[15] 仵凤清,郝涛,高林. 基于系统动力学的企业技术创新网络形成机理研究[J]. 技术与创新管理, 2016, 37(4): 350-356.
[16] 付玉秀,张洪石. 突破性创新:概念界定与比较[J]. 数量经济技术经济研究, 2004,(3): 73-83.
[17] Akbar H, Tzokas N. An exploration of new product development’s frontend knowledge conceptualization process in discontinuous innovations [J]. British Journal of Management, 2013, 24(2): 245-263.
[18] Laursen K, Salter A. Open for innovation: The role of openness in explaining innovation performance among U.K. manufacturing firms [J]. Strategic Management Journal, 2006, 27(2): 131-150.
[19] Zhou K Z, Li C B. How knowledge affects radical innovation: Knowledge base, market knowledge acquisition, and internal knowledge sharing [J]. Strategic Management Journal, 2012, 33(9): 1090-1102.
[20] Harmaakorpi V, Melkas H. Knowledge management in regional innovation networks: The case of Lahti, Finland [J]. European Planning Studies, 2005, 13(5): 641-659.
[21] 李亚婷. 知识聚合研究述评[J]. 图书情报工作, 2016, 60(21): 128-136.
[22] 张志峰, JINDALV. 基于尖点突变的制造系统耗散结构模型及其度量[J]. 机械工程学报, 2011, 47(14): 192-198.
[23] 许爱萍. 产业技术创新实现路径的“黑箱”过程——基于路径依赖视角的分析[J]. 技术经济, 2014, 33(5): 35-39.