Global network configuration for innovation: a study of international fibre innovation

This paper develops and empirically investigates the notion of network configuration for innovation. In many industries, firms are increasingly locked into a state of network innovation. Innovation, in such contexts, is often driven by those firms who configure the network to access and control critical innovation knowledge widely dispersed throughout the network. The paper presents the findings of an in-depth study of the evolution of three innovation networks in the global fibre industry. The mechanisms by which firms configure extended networks throughout the innovation processes are unravelled and discussed. A typology of three configuration types derived from the finding is forwarded. The findings suggest that successful innovation network configuration involves recognising where the innovation value resides in the network and developing capabilities and mechanisms to understand and access such value. However, this is problematic for firms embedded in their own base of knowledge and patterns of relationships. Specific managerial implications and suggestions for future research are forwarded.     

Extending community management to industry-university-government organizations

There has been an emergence of collaborative research networks of industry-university-government relationships, or so-called Triple Helix (TH) organizations. Many TH organizations strive for research and innovation community management. In the innovation and knowledge management literature, community management offers open, participatory, and distributed innovation processes. How community management elements manifest, how they evolve, and what are related contingencies remain poorly understood, especially in the case of TH organizations. Our study examines how two TH organizations in Finland have adopted community management elements, how these elements have evolved, and the contingencies that have affected adoption and evolution. We report on the first 6 years of operations in two different TH organizations. Community-management elements have accommodated divergent interests in TH organizations, but they have also been subject to considerable degrees of conflict and tension. We extend the innovation community management literature by explicating community management elements in a TH context, we illustrate how TH organizations adopt and evolve these elements, and we identify two contingencies for community management elements in a TH context.     

Leveraging micro‐ and macro‐structures of embeddedness in alliance networks for exploratory innovation in biotechnology

Researchers agree that alliance networks can be an important instrument in a firm's innovation process, but there is limited empirical evidence on actually how they facilitate the creation of new knowledge for exploratory innovation. The research question is what alliance network configuration is optimal for exploratory innovation. The present study investigated the interaction between a firm's alliance portfolio structure (the micro‐level) and the industry alliance network structure (the macro‐level), and it empirically tested how their interaction may be affecting the exploratory innovation outcome of network participating firms in the biotechnology industry. The paper uses data from exploratory patents filed by 455 dedicated biotechnology firms in 1986–1999 and an overall network comprising 2,933 technological alliances over the same period. The results indicate that, in the case of biotechnology, firms with high exploratory innovation output have short path indirect access to many other firms (micro‐level), and operate in dense industry alliance networks centralized around a few key firms (macro‐level), and that these effects are curvilinear.     

Standardization Alliance Networks,Standard-Setting Influence,and New Product Outcomes*

Standardization alliances evolve through collaborations among firms for developing and implementing industry technical standards. Cooperative standard setting can help allied firms to gain access to external knowledge and technologies, but it is unclear how the configuration of a standardization alliance can result in improving a firm’s performance in new product development. This study examines how standardization alliance network-based resource advantages vary across a firm’s network position and the firm’s ability to influence industry standard setting and new product outcomes. Empirical analyses, based on archival data from 170 Chinese automobile manufacturers from 1999 to 2013, indicate that firms that span structural holes in standardization alliance networks gain an advantage when focusing on early new product introductions but suffer a disadvantage when aiming at more innovative products. In contrast, taking a central position in standardization alliance networks is negatively related to a firm’s speed in bringing new products to market but positively related to the firm’s new product introduction rate. Further, standard-setting influence significantly mediates the effect of network position on a firm’s new product speed to market. Increasing centrality and structural holes can lead to the improvement of a firm’s standard-setting influence, and this, in turn, positively affects speed to market.     

Networks in transition: how industry events (re)shape interfirm relationships

Interfirm relationship networks are strategic resources that can potentially be shaped by managerial action. As a first step towards understanding how managers can shape networks, we develop a framework which explains how industry networks evolve over time and in response to specific events. Our main thesis is that industry events may be either structure-reinforcing or structure-loosening, and that their potential structural impact may be predicted in advance. We validate our hypotheses with longitudinal data on the strategic alliance network in the global steel industry. © 1998 John Wiley & Sons, Ltd     

高新技术产业集群中的社会资本效应分析

高新技术产业集群中社会资本的效应很大,主要体现在以下几个方面：影响高新技术产业集群的位置、发展速度和信息交流,促进集群内经济主体的合作;从契约角度来看,可以有效解决高新技术企业技术创新网络中契约缺口问题;有助于高新技术产业集群由萌芽阶段向初级阶段发展,并保证产业群由初级阶段进化到高级阶段;有助于促进高新技术产业集群实现知识的转移、流动和创造;有助于促进高新技术产业集群内企业间的集体学习;有助于高新技术产业风险投资基地的建立;有助于提高高新技术产业集群内企业创新效率;使高新技术产业集群内技术创新扩散更加迅速;激励高新技术产业集群内人才创新;等等。     

The impact of global and local cohesion on innovation in the pharmaceutical industry

In this paper, we examine how the configuration of intraorganizational networks, and in particular, cohesion among members of an organization, influences organizations' innovative output. We argue that the cohesion among R&D scientists could be at a local level or a global level, and that local and global cohesion may have different impacts on firms' innovation performance. We test our hypotheses by examining the structure of the R&D collaboration networks within firms that operated in the pharmaceutical industry between 1981 and 1989, and their innovative outcomes—patents that led to new product launches. We find that local cohesion has a positive impact on the innovative performance of a firm, and global cohesion has a negative impact. Copyright © 2011 John Wiley & Sons, Ltd.     

Why and How Combining Strong and Weak Ties within a Single Interorganizational R&D Collaboration Outperforms Other Collaboration Structures

The purpose of this paper is to demonstrate why and how an ambidextrous interorganizational R&D collaboration outperforms other collaboration structures in the creation of innovation. This research effort contributes to a growing stream of research in social network theory suggesting that the contradictory theories of the strength of weak ties and weak network structures on the one hand and the theory of strong ties and closed network structures on the other have a mutually reinforcing effect on innovation outcomes if combined rather than considered separately. An in‐depth exploratory single case study approach within an innovatively organized national R&D collaboration allowed giving further evidence for such a superior innovation performance and for this research to contribute to theory by demonstrating why and how such a combination may lead to higher innovation output and how this effect can be actively reinforced. It is suggested that the combination of strong and weak ties should occur at the individual rather than at the project or firm level. The authors distinguish between the additive effects of the respective innovation benefits of strong and weak ties, a positive interaction effect in the portfolio of dyadic ties of an individual and a second multilevel interaction effect of weak ties embedded in the ambidextrous network structure. Referring to previous empirical findings, intellectual property regulation and structural interdependency between network members showed a higher impact than trust with regard to leveraging weak ties and are important sources for achieving the multilevel interaction effect. Managerial implications of this research are that a large network will outperform several smaller, independent networks given that the right structure and processes are in place. Direct implications for the architecture of an ambidextrous R&D collaboration are discussed, and a framework for a new form of technology R&D collaboration called “semi‐open organization” is presented, which places itself between the extremes of traditional R&D in closed organizations and completely “open innovation” approaches.     

Innovation network trajectories and changes in resource bundles

This paper reports on an investigation into how changes in network resource bundles influence the success of innovation networks and how they change trajectories over time. Innovation networks are complex adaptive systems, and this paper uses a fuzzy set theory simulation methodological approach to capture complexity. The findings indicate that the interdependencies between knowledge variables and financial resources are the greatest contributor to high performing innovation networks, whereas the loss of social capital and its interdependency with the environment are the largest contributors to declines in innovation network performance. The paper suggests a more nuanced role for social capital within innovation networks and, importantly, highlights the sequencing of knowledge contributions, which take low performing innovation networks to high performing innovation networks.     

A network perspective on idea and innovation crowdsourcing in industrial firms

Crowdsourcing has been attracting the attention of both academics and practitioners over recent years. The aim of this article is to contribute to the current body of knowledge on innovation in networked contexts by systematically analyzing various crowdsourcing configurations available to industrial firms. We first develop a categorization of crowdsourcing in industrial firms comprising four distinct configurations: internal crowdsourcing; community crowdsourcing; open crowdsourcing; and crowdsourcing via a broker. We then proceed to draw from the literature on industry networks to further deepen our understanding of how these four distinct configurations can contribute to business and innovation activities of a focal industrial firm. Specifically, we focus on the structural properties, nature of collaboration, and governance of crowdsourcing networks. This novel combination of crowdsourcing and network research delivers new insights that enrich current understanding on various options available to industrial firms operating in networked contexts to facilitate their innovation processes.     

The evolution of firm networks: from emergence to early growth of the firm

This paper addresses whether cohesive networks of socially embedded ties or sparse networks rich in structural holes are more conducive to the success of new firms. We propose that the networks of emerging firms evolve in order to adapt to the firm's changing resource needs and resource challenges. As firms emerge, their networks consist primarily of socially embedded ties drawn from dense, cohesive sets of connections. We label these networks identity based. As firms move into the early growth stage, their networks evolve toward more ties based on a calculation of economic costs and benefits. This shift from identity-based to more calculative networks is manifested in the evolution of the firm networks: (1) from primarily socially embedded ties to a balance of embedded and arm's-length relations; (2) from networks that emphasize cohesion to those that exploit structural holes; and (3) from a more path-dependent to a more intentionally managed network. Thus, this paper suggests that both cohesive and sparse networks are conducive to firm performance when they are aligned with and address firms' evolving resource challenges. Copyright © 2001 John Wiley & Sons, Ltd.     

From Birth through Transition to Maturation: The Evolution of Technology‐Based Alliance Networks

This article considers the evolution of interfirm networks within a context of technological change. More specifically, it studies the evolution of structural and positional embeddedness in a network of technology‐based alliances when it moves from an early period of invention creation to a subsequent period of new product development and commercialization. Empirically, we study the evolution of technology‐based alliance networks in the biopharmaceutical industry over a period of about 25 years, from 1975 until 1999. Examining interorganizational networks over such an extended time period allows us to move beyond more static approaches that have characterized most network studies until now, and consider network evolution along its various phases of birth, growth, and early maturation instead. Our findings indicate that the evolution of both structural and positional embeddedness does not follow the common idea of a path of linear progression, but instead strongly exhibits nonlinearity by resembling a sigmoid pattern. These findings have a number of implications. First, the break in the process of linear progression contrasts with the standing literature that (implicitly) assumes the informational and resource value of a network structure to remain constant over time or to evolve linearly from carrying low value to progressively higher value. Instead, our finding that the evolution of structural and positional embeddedness is nonlinear echoes the speculative idea, as expressed by Gulati and Garguilo, that network change may possibly be nonlinear when seen over the long run. A second implication concerns the validity of standing insights from the social network literature such as Coleman's theory of social capital and Burt's theory of structural holes. These theories may not apply to the extent that there are strong changes in environmental conditions like environmental uncertainty and/or munificence, such as during a transition phase as considered in this study.     

How Central Is Too Central? Organizing Interorganizational Collaboration Networks for Breakthrough Innovation

Firms increasingly look to collaboration with alliance partners in their quest for breakthrough innovation. But how does the position of a firm in its alliance network weighted by the centrality of its partners—a concept which we term “partner‐weighted alliance centrality”—and the heterogeneities in the types of partners that it cooperates with—in terms of its private‐public collaboration—influence this quest? Using longitudinal data from the U.S. pharmaceutical industry, we build alliance networks in the period 1985–2001 to investigate these questions. We show that, for breakthrough innovation, collaborating with more partners that are more central in alliance networks the better, but only to a point. Beyond that point, we find that the likelihood of achieving breakthrough innovation drops. Furthermore, and looking at the kinds of knowledge provided by the partners in each firm's alliances, we report that firms with a greater share of private partners, relative to public partners, suffer less from the diminishing benefits of collaboration with central partners when developing breakthrough innovation. Taken together, we make novel contributions about how to organize for breakthrough innovation, and provide actionable managerial advice in terms of selecting collaborative partners in alliance networks.     

Multidimensional social capital as a boost or a bar to innovativeness

Innovation does not only demand new ideas, financial resources and knowledge of supplier and user systems, but is also influenced by social capital which has an impact on the innovativeness in business networks. However, social capital is often vague, at times described as a “catch-all notion”. In this paper definitions of social capital are suggested to support the management of innovation in networks. Three dimensions of social capital are applied in a case study of a regional strategic network – the socio-economic, the structural and the actor-oriented dimensions – while focusing on the last one. Data were collected at two points in time, at the start of the regional strategic network in 2004 and at the end of the project in 2010. The application of the concepts and the comparison between these two points in time highlight the influence of social capital and how it can hinder or be used to promote innovation processes.     

New Product Development in the Pharmaceutical Industry: Pooling Network Resources

Pharmaceutical innovation increasingly involves some pooling of resources of finance, equity, technology, information, and intellectual property between pharmaceutical companies and other organizations. The organizations and their exchanges constitute a network which can be regarded as a growing store of these varied resources preferentially accessible to network members. D. Jane Bower examines some network effects in management decision making in Ciba-Geigy (Switzerland) and Elan Corporation (Ireland). She concludes that participation in a common network has enabled these firms to access a pool of resources of knowledge, experience, and finance. This pool has been generated by past exchanges among network members, including providers of finance, and has increased the network's collective reservoir of knowledge.     

基于生命周期的智力资本对企业创新能力的影响研究

进入知识经济时代后,智力资本成为提高企业创新能力的关键要素。本文以2014年上市制造业企业作为研究对象,分析智力资本与企业创新能力的关系。研究发现,不同的生命周期中,人力资本、结构资本和关系资本对企业创新能力的影响程度不同。其中在成长期时,人力资本和结构资本对企业创新能力影响较大。在成熟期时,人力资本、结构资本和关系资本都正向显著影响企业创新能力。在衰退期时,人力资本和关系资本对企业创新能力影响较大。研究结果可以为上市制造业企业有效实施智力资本的积累,进一步实现企业创新提供借鉴。     

网络嵌入影响企业创新绩效的概念模型与实证分析

本文有效整合社会网络、知识获取和创新绩效三个方面的理论研究,以知识获取为中间变量,构建网络嵌入影响企业创新绩效的概念模型,探究关系型嵌入和结构型嵌入影响企业外部知识获取并进而影响创新绩效的微观机理,并通过长三角地区270家本土企业的问卷调查与结构方程模型分析,结果发现:企业通过对组织网络的关系型嵌入和结构型嵌入能够有效提高外部知识的获取效应,从而对企业的创新绩效存在显著的推动作用。在此基础上,本研究试图为本土企业如何通过网络嵌入提高知识获取能力以及创新绩效提供理论指导和对策建议。     

Social capital in the growth of science-and-technology-based SMEs

There is increasing evidence of the positive role social capital plays in accessing resources and capabilities from and with other actors, and in establishing and maintaining business relationships. Yet, surprisingly little is known about how an organization's social capital and its utilization evolve over time. Focusing on this gap, this paper explores the role of social capital and its structural, relational and cognitive dimensions in the growth of science-and-technology-based SMEs. On the basis of our studies on social capital, entrepreneurial networks and SME growth, we develop a conceptual framework to describe their development through four overlapping phases, each of which involves different managerial tasks: innovation assessment, offering development, commercialization and rapid growth. The results of our longitudinal multiple case studies show that; (i) different types of networks and relationships are important in the transitional periods between the growth phases; and (ii) the role of social capital and its different dimensions varies in developing, maintaining and utilizing these partnerships and network relationships. These findings offer several managerial implications.     

The Roles of Knowledge Providers,Knowledge Recipients,and Knowledge Usage in Bridging Structural Holes

Studies have suggested that firms can benefit from bridging two or more otherwise disconnected firms in their ego networks (i.e., structural holes) as a potentially useful source of external knowledge for innovation. However, past research also noted that the relationship between bridging structural holes and firm innovation varies significantly. Building on the earlier research that has examined the industrial, structural, and institutional dimensions of this relationship, the purpose of this research is to study how the different characteristics of the external knowledge provided by bridging structural holes in a focal firm’s ego network might moderate the relationship between bridging structural holes and firm innovation. Using longitudinal data from the U.S. computer industry, this study showed that focal firms that bridged otherwise disconnected firms in their ego networks enjoyed higher levels of innovation. In addition, it showed that this relationship was particularly stronger when the focal firms and the disconnected firms that they bridged operated in similar rather than different markets but when the focal firms and the disconnected firms worked on different rather than similar technological domains. The results also revealed that the relationship was stronger when the focal firms’ knowledge specialization was low rather than high and when the focal firms emphasized incremental rather than breakthrough innovation. These findings show companies how they can benefit from bridging otherwise disconnected firms in their ego networks and help them make more informed decisions pertaining to such bridging activities.     

Learning by hiring and change to organizational knowledge: Countering obsolescence as organizations age

Research summary: This paper investigates the relationship between hiring and the ability of organizations to evolve their capabilities as they age. While prior research establishes that organizations become rigid to change as they age, it underemphasizes measures that they may take to renew their adaptive potential. I address this gap by investigating whether hiring stimulates change to the knowledge organizations possess. Learning by hiring, I argue, helps organizations to evolve their knowledge as they age by disrupting routine, introducing distant knowledge, and facilitating socialization. I test the effectiveness of these mechanisms using 38 years (1970–2007) of data from the U.S. biotechnology industry, and find that hiring stimulates more change as organizations age, enabling them to renew their knowledge and counter the effects of obsolescence. Managerial summary: As organizations age, they become less responsive to the needs of their environment, resulting in a trend for them to become technologically obsolete. Little is known as to how they may reverse this trend and counter obsolescence. I provide evidence that hiring may be used to stimulate change to organizational knowledge and capabilities as they age by disrupting routine activity, introducing new‐to‐the‐firm knowledge, and inducing incumbent members to learn. Copyright © 2015 John Wiley & Sons, Ltd.