公私合作技术创新网络中企业创新产出提升路径——基于美国制造业创新网络的模糊集定性比较分析

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (12199 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要本文以美国制造业创新网络8个案例项目中的16家公司为样本,应用模糊集定性比较分析方法整合企业创新资源、公共部门创新投入和创新网络规模层面的6个条件变量,探讨其与公私合作技术创新网络中企业创新产出的复杂因果机制。研究发现有助于提升企业创新产出的4种构型,并进一步归纳如下:①大企业在创新资源方面的欠缺可以通过公私合作技术创新网络中的公共部门投入和成员间的知识共享得到弥补,从而提高自身的创新产出;②小企业更适合参与规模较小的公私合作技术创新网络,以克服信任程度缺失造成的内部资源耗散,与此同时,提高自身研发投入强度是其获得高创新产出的关键。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	周贵川
	罗文雪
	何亚惠
	张黎明

关键词 ：公私合作, 技术创新网络, 创新产出

Abstract：This paper takes 16 companies in 8 case projects of American manufacturing innovation network as samples, applies the qualitative comparative analysis of fuzzy sets to integrate 6 conditional variables of enterprise innovation resources, public sectors innovation input and innovation network scale, and explores the complex causal mechanism between them and enterprise innovation output in the public-private technological innovation network(PPTIN).The study found four routes that can help increase the innovation output of enterprises, and further summarized them as follows.① For large enterprises, the lack of innovation resources can be made up by public sectors investment in PPTIN and knowledge sharing among members, thereby increasing their innovation output;② For small enterprise, they are more suitable to participate in smaller PPTIN to overcome the internal resource dissipation caused by the lack of trust.At the same time, increasing the intensity of their R&D investment is the key to their high innovation output.

Key words： Public-private partnerships Technological innovation network Innovation output

收稿日期: 2020-02-17

PACS:

F273.1

基金资助:国家自然科学基金(71702118)。

作者简介: 周贵川(1982-),男,四川成都人,四川大学副教授、博士研究生;研究方向:企业战略管理,企业创新管理。

引用本文:

周贵川, 罗文雪, 何亚惠, 张黎明. 公私合作技术创新网络中企业创新产出提升路径——基于美国制造业创新网络的模糊集定性比较分析[J]. 中国科技论坛, 2020(10): 179-188.
Zhou Guichuan, Luo Wenxue, He Yahui, Zhang Liming. Research on the Improvement Path of Enterprise Innovation Output in the Public-Private Technological Innovation Network ——A Qualitative Comparative Analysis of Fuzzy Sets Based on American Manufacturing Innovation Network. , 2020(10): 179-188.

链接本文:

http://www.zgkjlt.org.cn/CN/Y2020/I10/179

[1] LUNDVALL B A.National systems of innovation:towards a theory of innovation and interactive learning[M].London:Pinter,1992.
[2] FREEMAN C.The“national system of innovation”in historical perspective[J].Cambridge journal of economics,1995,19(1):5-24.
[3] DJELLAL F,GALLOUJ F.A model for analysing the innovation dynamic in services:the case of‘assembled’services[J].International journal of services technology and management,2008,9(3):285-304.
[4] KOLEVA G.Public-private partnerships for the governance of technological innovation:the case of the European innovative medicines initiative[J].Management of technological innovation,2006,6(10):51-61.
[5] SANDERS M,HELDEWEG M.Regulating public-private modalities for organizing technological innovations in the energy sector[C].Rotterdam:Annual Work Conference of the Netherlands Institute of Government,2011:1-11.
[6] MANLEY K.The systems approach to innovation studies[J].Australasian journal of information systems,2002,9(2):94-102.
[7] KANAKOUDIS V,PODIMATA M,PAPOTIS A.PPPs in the renewable sources energy sector:the Greek experience of a medium-scale hydropower plant[J].European water,2007,17(18):41-49.
[8] 张志娟,郭铁成,程如烟,等.科技创新领域运用公私合作的收益分配研究[J].中国科技论坛,2016(11):32-36+69.
[9] 朱星华.欧美在科技创新领域开展公私合作的典型案例与启示[J].全球科技经济瞭望,2017,32(8):22-26.
[10] [10]MUSIOLIK J,MARKARD J.Innovation networks and resources in technological innovation systems:insights from the field of stationary fuel in Germany[C].Aalborg:DRUID-DIME Academy Winter 2010 PhD Conference,2010:21-23.
[11] COHEN W M,NELSON R R,WALSH J P.Links and impacts:the influence of public research on industrial R&D[J].Management science,2002,48(1):1-23.
[12] TETHER B,TAJAR A.Beyond industry-university links:sourcing knowledge for innovation from consultants,private research organisations and the public science-base[J].Research policy,2008,37(6-7):1079-1095.
[13] 高建,汪剑飞,魏平.企业技术创新绩效指标:现状、问题和新概念模型[J].科研管理,2004(S1):14-22.
[14] MORRAR R.Technological public-private innovation networks:a conceptual framework describing their structure and mechanism of interaction[J].Technology innovation management review,2015,5(8):25-33.
[15] LUNDBERG H,ANDRESEN E.Cooperation among companies,universities and local government in a Swedish context[J].Industrial marketing management,2012,41(3):429-437.
[16] 柯忠义,潘庆年,彭刚.企业R&D能力互补下的政府补贴与合作创新模式[J].数学的实践与认识,2014,44(7):1-7.
[17] LEE S.Consolidation of public safety wireless networks:an options-based economic analysis of numerous scenarios[J].Telecommunications policy,2011,35(2):91-101.
[18] 唐朝永,牛冲槐.协同创新网络、人才集聚效应与创新绩效关系研究[J].科技进步与对策,2017,34(3):134-139.
[19] 陆云泉,许爽,刘平青.协同创新网络与组织创新绩效的关系[J].北京理工大学学报(社会科学版),2018,20(5):63-71.
[20] PETRAUSKAIT N,CHLIVICKAS E.Public,private and academic sector interaction for high technology development[C].Vilnius:7th International Scientific Conference on Business and Management,2012:913-920.
[21] 连红军.中小企业参与PPP模式与技术创新关系的实证研究[J].改革与战略,2011,27(5):155-157.
[22] AGRAWAL S,CHEN C,TANIO C.Crowd-sourcing delivery system innovation:a public-private solution[J].Healthcare:the journal of delivery science and innovation,2015,3(1):2-4.
[23] 张信东,贺亚楠,马小美.R&D税收优惠政策对企业创新产出的激励效果分析——基于国家级企业技术中心的研究[J].当代财经,2014(11):35-45.
[24] LANDRY R,AMARA N,LAMARI M.Does social capital determine innovation？To what extent[J].Technological forecasting and social change,2002,69(7):681-701.
[25] LECHNER C,LEYRONAS C.Network-centrality versus network-position in regional networks:what matters most?A study of a French high-tech cluster[J].International journal of technoentrepreneurship,2007,1(1):78-91.
[26] HUE Kyung L,HYUN Duk Y,SI Jeoung K.Factors affecting university-industry cooperation performance:study of the mediating effects of government and enterprise support[J].Journal of science and technology policy management,2016,7(2):233-254.
[27] 张朝宾,吴洁,黄伟,等.网络结构与组织间知识转移绩效关系的实证研究[J].科技进步与对策,2011,28(19):112-116.
[28] 毕克新,王禹涵,杨朝均.创新资源投入对绿色创新系统绿色创新能力的影响——基于制造业FDI流入视角的实证研究[J].中国软科学,2014(3):153-166.
[29] RIHOUX B,RAGIN C C.Configurational comparative methods:qualitative comparative analysis(QCA)and related techniques[M].London:Sage Publications,2008.
[30] FISS P C.Building better causal theories:a fuzzy set approach to typologies in organization research[J].Academy of management journal,2011,54(2):393-420.
[31] 张丽华,林善浪.技术距离对于我国区域技术创新产出的影响——基于省级面板数据的研究[J].研究与发展管理,2011,23(2):1-7.
[32] 姚靠华,唐家财,蒋艳辉.研发投入、研发项目进展与股价波动——基于创业板上市高新技术企业的实证研究[J].中国管理科学,2013,21(S1):205-213.
[33] 吴绍玉,汪波,李晓燕,等.双重社会网络嵌入对海归创业企业技术创新绩效的影响研究[J].科学学与科学技术管理,2016,37(10):96-106.
[34] 解学梅,左蕾蕾.企业协同创新网络特征与创新绩效:基于知识吸收能力的中介效应研究[J].南开管理评论,2013,16(3):47-56.
[35] SCHNEIDER C Q,WAGEMANN C.Set-theoretic methods for the social sciences:a guide to qualitative comparative analysis[M].Cambridge:Cambridge University Press,2012.
[36] 陈卫东,李晓晓.企业与科研单位协同创新产出水平提升机制[J].系统工程理论与实践,2017,3(8):2141-2151.
[37] 廖成林,乔宪木.虚拟企业信任关系:决定因素与机理[J].重庆大学学报(自然科学版),2004(5):139-142.