基于产业知识基础的北京科技创新中心建设研究

北京科技创新中心建设的路径和着力点等问题成为学界、政界亟待破解的难题。从产业知识基础视角研究北京科技创新中心建设,提出两类产业知识基础——解析型知识基础和综合型知识基础影响科技创新中心建设的框架,并用熵值法确定权重计算了2013年全国各省(市、自治区)两类产业知识基础存量值以及2000-2013年北京地区两类产业知识基础存量值,将2013年北京两类产业知识基础进行横向、纵向对比。实证结果显示:北京的产业知识基础存量值与资源基础和制度环境极不相称,不能对北京科技创新建设起到支撑作用,因此,应提高产业知识基础水平,尤其是关注以激进型创新为主的解析型知识基础。本研究为北京科技创新中心建设提供决策依据。     

Knowledge bases and regional innovation systems: Comparing Nordic clusters

The analysis of the importance of different types of regional innovation systems must take place within a context of the actual knowledge base of various industries in the economy, as the innovation processes of firms are strongly shaped by their specific knowledge base. In this paper, we shall distinguish between two types of knowledge base: analytical and synthetic. These types indicate different mixes of tacit and codified knowledge, codification possibilities and limits, qualifications and skills, required organisations and institutions involved, as well as specific competitive challenges from a globalising economy, which have different implications for different sectors of industry, and, thus, for the kind of innovation support needed. The traditional constellation of industrial clusters surrounded by innovation supporting organisations, constituting a regional innovation system, is nearly always to be found in contexts of industries with a synthetic knowledge base (e.g. engineering-based industries), while the existence of regional innovation systems as an integral part of a cluster will normally be the case of industries-based on an analytical knowledge base (e.g. science-based industries, such as IT and bio-tech). In the discussion of different types of regional innovation systems five empirical illustrations from a Nordic comparative project on SMEs and regional innovation systems will be used: the furniture industry in Salling, Denmark; the wireless communication industry in North Jutland, Denmark; the functional food industry in Scania, Sweden; the food industry in Rogaland, Norway and the electronics industry in Horten, Norway. We argue that in terms of innovation policy the regional level often provides a grounded approach embedded in networks of actors acknowledging the importance of the knowledge base of an industry.     

Why space matters in technological innovation systems—Mapping global knowledge dynamics of membrane bioreactor technology

Studies on technological innovation systems (TISs) often set spatial boundaries at the national level and treat supranational levels as a geographically undifferentiated and freely accessible global technological opportunity set. This article criticizes this conceptualization and proposes instead to analyze relevant actors, networks and processes in TIS from a relational perspective on space. It develops an analytical framework which allows investigating innovation processes (or ‘functions’) of a TIS at and across different spatial scales. Based on social network analysis of a co-publication dataset from membrane bioreactor technology, we illustrate how the spatial characteristics of collaborations in knowledge creation vary greatly over relatively short periods of time. This finding suggests that TIS studies should be more reflexive on system boundary setting both regarding the identification and analysis of core processes as well as in the formulation of policy advice.     

Determinants of industry-academy linkages and, their impact on firm performance: The case of Korea as a latecomer in knowledge industrialization

This paper utilizes the Korea Innovation Survey data to identify the determinants of industry-university and industry-government research institute (IUG) cooperation, and its impact on firm performance. First, we find that among the determinants of IUG cooperation, traditional firm characteristic variables of size and R&D intensity are not significant, while participation in national R&D project turns out be most significant and robust in both cooperation modes. This is in contrast to the results from the cases in European countries and reflects the significance of government policies in promoting IUG cooperation in latecomer economies. Second, with regard to the impact of IUG cooperation, we conspicuously find no significant impact on the innovation probability of firms when we control the possible endogeneity, such that already innovative firms would participate more at such cooperation modes. This implies that the IUG cooperation cannot guarantee the success of a firm in technological innovation. Rather, it may have an influence on the selection or direction of the research projects of a firm. When we limited the analysis to innovative firms, we do find a positive impact of the IUG cooperation on patents generated from new product innovation but find none in terms of volume of sales or labor productivity. These results seem to reflect the still transitional nature of the national innovation system (NIS) and knowledge industrialization in Korea.     

Evolutionary stable strategies for business innovation and knowledge transfer

Evolutionary game theory expands into a number of areas that go beyond the biological concept of evolution to include sociology, economics, and business management. Social networks determine definite interactions between individuals in social settings. The common nature of these two broad areas of research generates interest in applying the approaches of evolutionary game theory to social network-based problems. Knowledge transfer that occurs in the process of social interaction improves a company's innovation capability. This paper attempts to explore ways in which networks relate to knowledge transfer on the basis of evolutionary game theory. We offer a simple mathematical model to examine the interaction of knowledge transfer and actor behavior in games of coordination.     

Patent collaboration and international knowledge flow

In this paper, we provide an empirical analysis of evolving knowledge networks of successful patent collaboration at national level in 1980s, 1990s, and 2000s. All countries are classified into main knowledge creators (Organisation for Economic Co-operation and Development (OECD) group) and main knowledge users (non-OECD group) in order to distinguish specific characteristics of knowledge interactions within groups and between groups. The analyses are carried out from four aspects, i.e., the overall distribution of knowledge interactions among countries, the countries’ ability to inhabit and facilitate the knowledge flows among others with the help of flow betweenness measures, the countries’ bridgeness between two groups with the recently developed Q-measures, and the most important bilateral knowledge interactions. Results show that although most of the international knowledge interactions still take place within the OECD group, the non-OECD countries have improved their performance significantly. They participate much more in international patenting and collaborations and play much more important roles in facilitating knowledge interactions among others. Among them, China and Taiwan are two most dazzling new stars according to their performance in international knowledge interactions. Considering together with their rapidly improved world competitiveness, the findings indicate that the wide and deep participation in international knowledge interactions may have great contribution to the economic competitiveness.     

高校科技创新基地建设的思考

科技创新基地的建设是高校提高科技创新能力的重要手段。从重点实验室和工程（技术）研究中心的内涵出发,结合学科建设、创新团队、制度创新3个要素,分析了科技创新基地对于学校建设研究型大学的重要意义,提出保障和促进高校科技创新基地建设的一些想法。     

Forms of knowledge and modes of innovation

This paper contrasts two modes of innovation. One, the Science, Technology and Innovation (STI) mode, is based on the production and use of codified scientific and technical knowledge. The other, the Doing, Using and Interacting (DUI) mode, relies on informal processes of learning and experience-based know-how. Drawing on the results of the 2001 Danish DISKO Survey, latent class analysis is used to identify groups of firms that practice the two modes with different intensities. Logit regression analysis is used to show that firms combining the two modes are more likely to innovate new products or services than those relying primarily on one mode or the other. The paper concludes by considering the implications for benchmarking innovation systems and for innovation policy.     

知识价值导向下的知识共享与创新

知识是推动社会进步的重要元素,而知识团队是一类特殊的知识密集型组织,因此,在知识团队中实现有效的知识管理,促进知识的共享与创新具有十分重要的意义。以知识价值为导向,将知识团队的知识共享与创新和知识增值相结合,通过一种可量化的评价体系提出更有效、更具操作性的策略与方法,提高知识团队的竞争力。     

我国主要科技创新平台的发展现状、存在问题和优化建议

当前国际科技创新发展日新月异,国际形势复杂多变,亟需不断强化国家战略科技力量。科技创新平台是打造国家战略科技力量的重要抓手,在新时期新形势下对其发展提出了更高要求,因此优化整合科技创新平台迫在眉睫。基于创新价值链的角度,本文通过分析政策文本和作者多年从事科技创新平台管理调研数据对我国主要科技创新平台的发展现状进行总结,找出其主要存在问题并提出优化建议。研究发现科技创新平台存在功能定位不清晰、管理部门协调难、共享共建的协同机制不完善等问题,提出了明确优化科技创新平台功能定位、建立协同发展委员会、优化基础研究类基地布局投入和完善基地间资源共享流通机制等建议。     

创新网络的知识转移计量模型分析——基于NetLogo仿真的研究视角

 将主体的知识列表用矩阵表示,采用Netlogo进行仿真,这些数值仿真图证明了本研究构建模型的适合性、拟合性和可靠性。从而加深对企业创新网络知识转移复杂性的理解,得到了企业创新网络知识转移计量模型,并得出系统规划和引导,有利于增加知识存量和流量的结论。     

Learning through informal local and global linkages: The case of Taiwan's machine tool industry

Most existing studies of successful late industrialization, which draw on findings from high-technology industries, emphasize the need to invest in formal channels of technology acquisition to allow latecomers to catch up. This line of reasoning neglects the fact that in some industries, including low- and medium-technology (LMT) sectors, much knowledge can be acquired by informal means. Through the study of Taiwan's machine tool (MT) industry, this article demonstrates the significance of informal learning activities in LMT industries and the possibility for latecomer clusters to climb the technological ladder through exploiting various local and global informal knowledge linkages.     

研发网络边界拓展、知识基与创新追赶

研发网络边界拓展已经成为研究热点。本文聚焦于转型经济的后发企业研发网络组织、地理和知识边界拓展对创新能力追赶的影响这一核心研究问题,整合制度理论和知识基础观理论,提出后发企业研发网络的组织边界拓展和创新绩效有着倒U型的关系。其次,后发企业研发网络地理边界拓展和技术创新绩效有着正向影响的关系。再次,后发企业研发网络知识边界拓展和技术创新绩效有着正向影响的关系。最后,企业内部知识基对后发企业研发网络组织边界拓展对创新绩效的影响存在调节作用。基于926家拥有浙江省高新技术研究开发中心的企业为样本两年数据的实证检验支持了本文的假设。     

How to facilitate knowledge diffusion in complex networks: The roles of network structure,knowledge role distribution and selection rule

The diffusion of knowledge within organizations provides opportunities for interpersonal co-operation, improves creative ability and therefore leads to competitive advantage. Focus of prior literature on knowledge diffusion has been on identifying factors that influence individuals' behavioral intentions to seek and share knowledge. However, knowledge diffusion as an enigmatic, emergent and organizational-level process is more than the simple aggregation of individual attributes and needs to be further investigated. Accordingly, this study focuses on three distinct system-level factors, i.e., architectures of connections among individuals, distributions of knowledge roles and designs of selection mechanisms and analyses their effects on knowledge diffusion. To be more specific, we examine three distinct knowledge roles: seekers, contributors and brokers. We also distinguish between three types of selection mechanisms: objective selection mechanisms, feedback-based selection mechanisms and random selection mechanisms. By conducting agent-based simulations on four representative networks, i.e., regular networks, random networks, small-world networks and scale-free networks, our results show that the optimal knowledge diffusion performance can be achieved on scale-free networks where all agents implement objective mechanisms and show characteristics of brokers. Moreover, our results (a) highlight the significance of brokers, (b) illustrate the superiority of objective selection rules and (c) demonstrate that scale-free networks provide an optimal framework for knowledge diffusion. Furthermore, we also find the interdependent relevance of these three factors to knowledge diffusion and propose a qualitative explanation of these findings.     

科技服务业与制造业正逆知识转移下知识融合的协同创新研究

通过知识转移和知识融合实现创新价值共享已成为科技服务业与制造业协同发展的新途径。以知识转移理论与协同创新理论为基础,基于系统动力学视角构建了两业协同创新的动力学模型,利用Vensim DSS软件仿真,分析了随着知识融合的不断推进,两业协同创新的实现路径以及两业知识势能、知识创新率和知识转移率的变化态势,并就融合创新因子和政策因子,即制造企业知识需求、知识吸收能力、政府激励机制、财政投入、人才建设共五个因子,对两业创新率进行了灵敏度分析。结果表明,两业知识势能呈指数增长,知识创新率及知识转移率不断增加,融合创新因子和政策因子对两业创新率存在显著正向影响,研究结果可以为两业协同创新发展提供决策支持。     

Strategic knowledge management, innovation and performance

Our aim is to shed light on the consequences of knowledge management (KM) strategies on firm's innovation and corporate performance. Organisations are not aware of the real implications that KM may have. Based on an empirical study consisted of 310 Spanish organisations and structural equations modelling, results show that both KM strategies (codification and personalisation) impacts on innovation and organisational performance directly and indirectly (through an increase on innovation capability). Also, findings demonstrate a different effect of KM strategies on diverse dimensions of organisational performance. Our conclusions may help academics and managers in designing KM strategic programs in order to achieve higher innovation, effectiveness, efficiency and profitability.     

Foundations of technology development,innovation and competitiveness in the globalised knowledge economy

With the growth of high‐technology industries and knowledge intensive services, the pursuit of industrial competitiveness has progressed from a broad concern with the processes of industrialisation to a more focused analysis of the factors explaining cross‐national variation in the level of participation in knowledge industries. From an examination of cross‐national data, the paper develops the proposition that particular elements of the domestic science, technology and industry infrastructure—such as the stock of knowledge and competence in the economy, the capacity for learning and generation of new ideas and the capacity to commercialise new ideas—vary cross‐nationally and are related to the level of participation of a nation in knowledge intensive activities. Existing understandings of the role of the state in promoting industrial competitiveness might be expanded to incorporate an analysis of the contribution of the state through the building of competencies in science, technology and industry.     

小企业集群创新网络的知识溢出效应分析

本文从网络观研究了小企业集群及其创新网络的基本内涵和结构，从集群整体和集群成员两个方面揭示了小企业集群创新网络产生和创新网络中知识溢出的经济性和存在意义，分析了集群知识溢出的途径和影响因素，以及知识溢出的动态控制机制。     

Beyond industry–university links: Sourcing knowledge for innovation from consultants, private research organisations and the public science-base

This paper explores the use of specialist knowledge providers as sources of information in the innovation activities of manufacturing and service firms. Specialist knowledge providers are consultancies, private research organisations and the public science-base (i.e., universities and the government research laboratories). These may be engaged by firms in co-operative arrangement for innovation or as informal sources of information. We find, as anticipated, that amongst other factors specialist knowledge providers are more likely to be engaged by firms with more open approaches to innovation, those with high levels of absorptive capacity, those with greater social capital and networking capabilities, as well as by those with deeper commitments to innovation. Overall, the use of specialist knowledge providers tends to complement firms’ own internal innovation activities and to complement other external sources of knowledge. Moreover, the individual types of specialist knowledge providers tend to complement rather than substitute for one another. Beyond this we find significant differences in the types of specialist knowledge providers used by manufacturing and service firms. Although service firms are more likely than manufacturers to use specialist knowledge providers, they are more likely to engage consultants, whilst their links with research-based organisations, including the public science-base, are weaker. We ask whether there is a case for increasing the extent to which the public science-base undertakes activities that are relevant to innovation in the services.     

创新目标、信息来源与创新成功关系实证研究

由于企业自身知识和能力的局限性,创新搜索是其获得所需资源、推动创新发展的有效方式。现有研究表明,企业所采取的创新搜索策略会对其创新成果有显著的影响。采取开放式创新模式能够使企业接触到原本难以获得的资源,并对内部创新的驱动因素产生影响,促进创新的绩效。另外,对企业认知过程的研究也指出了创新搜索广度在消除其认知偏误方面的重要性。当面对创新风险带来的不确定性时,企业可以通过增加创新搜索的广度来有效应对。除了拥有多个创新目标之外,企业也可以通过增加创新信息来源数量来提升创新成功的可能性。本文以创新目标、信息来源与创新成功之间的关系为切入点,主要探讨了创新搜索广度对创新成功的影响程度,检验了创新搜索的"广种"效应。本研究主要回答以下三个问题:首先,企业的创新目标广度是否会提升其创新成功可能性?其次,企业的创新信息来源广度是否会提升其创新成功可能性?另外,创新搜索广度(包括创新目标广度与创新信息来源广度)与企业创新成功之间的关系是否会受到单一依赖性的影响?针对这三个问题,本文通过经济学与统计学相结合的理论分析建立了理论框架,并运用2008年中国企业创新调查数据进行了大样本(共包括30个制造业细分行业的870家企业信息)的实证分析,对创新搜索广度、创新信息来源广度对企业创新成功可能性的作用以及单一依赖性的影响进行了检验,发现并总结出关于我国制造业企业创新搜索"广种"效应的规律。研究发现:企业的创新目标广度与其创新成功可能性正向相关,即企业的创新目标越多,其创新成功可能性越大;企业的创新信息来源广度与其创新成功可能性正向相关,即企业的创新信息来源越多,其创新成功可能性越大;另外,企业的单一信息来源依赖性会负向调节信息来源广度对创新成功可能性的正向作用,但并不会完全抵消其正向影响。替换变量、分组回归等稳定性检验的结果进一步支持了本研究结论的正确性与可靠性。研究结论证明,我国制造业企业中创新搜索确实存在"广种"正效应,无论是增加创新目标还是扩展创新信息来源都对企业创新活动的成功有着显著的正向影响;同时,若企业对于少数创新信息来源依赖性过高,这种单一信息来源依赖性会削弱信息来源广度的正向作用,减小创新搜索的"广种"正效应。