Managing innovation networks: Exploratory evidence from ICT, biotechnology and nanotechnology networks

This study examines the management of innovation networks which has enjoyed increased recognition in the marketing literature due to its growing prominence and relevance. By testing a causal model relating network factors to outcomes, the study contributes to theory development on managing innovation at the net level of analysis. Consequently, it contributes to the respective marketing literatures on new product development, open innovation, industrial marketing and its emerging network management sub-stream. It also offers a methodological contribution as respondents include key players from businesses, government agencies, research organizations and universities rather than from only one focal organization as studies in extant literature have predominantly done. Findings are based on 219 responses from Australian high technology networks, namely, information and communications technology and biotechnology/nanotechnology. The study offers valuable implications for marketing managers involved in new product development and innovation concerning strategies for managing their inter-organizational innovation initiatives effectively.     

New value creation in business networks: The role of collective action in constructing system-level goals

This study focuses on collective goal formation in business networks aimed toward new value creation and innovation. Previous research has depicted such networks as value-creating systems or meta-organizations pursuing a system-level goal. We develop these views by addressing a research question: How can multiple organizations collectively form a system-level goal, and how does this affect new value creation at the level of the whole network? We conducted a multi-case study of two Finnish health care networks in which multiple diverse organizations participated in the formation of a system-level goal for the network and developed innovative joint treatment practices for the better care of patients. We derived six propositions and developed a conceptual model explaining how the collective formation of a system-level goal is linked to network-level value creation by increasing network actors' resource commitment. Furthermore, we introduced important moderating factors, network architects and domain similarity, which affect collective goal formation. We claim that the conceptual model strengthens pre-existing theories on managing business networks through a system-level goal, collective action, framing, agenda construction, and institutional mobilization. We contribute especially to previous research on networks aiming for new value creation.     

Actors' Heterogeneity in Innovation Networks

Several interpretations converge in defining innovation networks as formed by heterogeneous actors, mainly identified in universities, research centers, and business companies. While the issue of actors' heterogeneity has generated active debate in strategy and organization studies, there has been little discussion so far in exploring the role of this diversity in innovation networks.Drawn from previous literature, we identify six attributes of actors' heterogeneity which seem to matter for the development of collaborative innovation: goals, knowledge bases, capabilities and competences, perceptions, power and position, culture. This paper is aimed at pursuing issues in need of further investigation. In particular 1. how the interplay of diverse actors' attributes shapes the interaction process in the development of collaborative innovation; 2. if and how combinations of their attributes are more likely to generate certain consequences in interaction; and 3. the degree to which heterogeneity is preferable to homogeneity for the effectiveness of innovation networks. In a recursive relationship, we also call for more research on the mechanisms that lead actors' attributes to change as an effect of interaction as well as on the interaction capabilities actors apply to manage heterogeneity.     

Commercialization performance of outbound open innovation projects in public research organizations: The roles of innovation potential and organizational capabilities

The current literature on open innovation (OI) has been limited to organization-level studies of inbound OI despite the importance of understanding outbound OI to improve performance of public research organizations (PRO) at project level. Our study contributes to the OI literature by investigating the relationship between the innovation potential and the commercialization performance of 189 outbound OI projects between PROs and firms, and the effect of network and project management processes on this relationship. In line with our expectation, our results demonstrate that PRO-firm outbound OI projects with technologies of high innovation potential are likely to have high commercialization performance. In addition, we empirically establish that among projects with technologies of high innovation potential, those with high resource allocation quality are more likely to have high commercialization performance. Finally, our findings indicate that among projects with technologies of high innovation potential, those with high opportunity discovery through networks are more likely to have high commercialization performance.     

Commercializing a radical innovation: Probing the way to the market

Needs, market structures, business models, and relationships concerning radical innovations (RIs) are unpredictable and, consequently, firms face critical challenges in commercialization. Therefore, this study examines the commercialization of RIs as a process complicated by divergent challenges. By drawing on the literature on innovation management, RIs, and the commercialization and adoption of innovations, and by analyzing six longitudinal cases, the study generates its contribution: a dynamic process model for the commercialization of RIs. The model captures the iterative and partially unpredictable commercialization process comprising transits back and forth between three main zones: strategic marketing decision making, market creation and preparation, and sales creation and development. Over this probing process, a firm faces major commercialization challenges: 1) choosing a feasible strategy in conditions of uncertainty, 2) understanding the benefits of innovation from the customer's perspective, 3) creating credibility, 4) acquiring support from stakeholders and the ecosystem, 5) overcoming adoption barriers, and 6) creating sales. For managers, the results suggest diligence in the neglected market creation and preparation zone instead of attempting rushed sales creation.     

Understanding commercialization of technological innovation: taking stock and moving forward

The commercialization of technological innovation, which is key to entrepreneurial success, represents a combination of several entrepreneurial activities. Building on research in management, strategy, entrepreneurship, and economics, this research summarizes 194 articles from 62 journals, categorizing them into six broad entrepreneurial activity themes: sources of innovations, types of innovation, market entry competence and feasibility, protection, development, and deployment. This review and synthesis suggest a framework of commercialization and an agenda for future research along with recommendations and guidance for future research. The proposed agenda provides topics and research questions for research, as well as related recommendations regarding the study and practice of the commercialization of innovation.     

Patented innovations developed in networks: The role of cultural looseness

The ongoing globalization tears down geographical barriers to knowledge sourcing, leaving cultural ones intact. Past research on developing innovations has largely neglected national culture or solely relied on cultural values. A recent body of research has emerged around cultural looseness – the strength of social norms and the degree of sanctioning within societies – and provided initial evidence on its importance for mastering creativity, an antecedent of innovations. However, the impact of cultural looseness on developing innovations in networks with diverse actors has not yet been tested. To this end, we develop a Multiple Indicator Multiple Causes (MIMIC) structural equation model and test it against empirical evidence from >1.25 million patented innovations. We find that in innovation networks, innovators based in culturally loose countries source knowledge of higher breadth and depth for developing innovations compared to innovators from culturally tight countries. We discuss our findings and – based on some study limitations – suggest seven streams for future research. We conclude with summarizing our contribution to theory on the impact of culture on innovation and our contribution to practice on helping managers to decide how to best source knowledge and thereby foster innovation.     

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.     

Exploring How Peer Communities Enable Lead User Innovations to Become Standard Equipment in the Industry: Community Pull Effects

Literature on new product development indicates that on average around 40% of new products fail across different industries (e.g., Crawford, 1977 ; Crawford and Di Benedetto, 2008 ). Out of those that survive only few become widely accepted standard equipment in the industry (Utterback, 1996 ). Literature on entrepreneurship (e.g., Baron and Shane, 2008 ) and on innovation (e.g., Christensen, 1997 ) shows that such innovations often originate outside the boundaries of established firms. However, it is difficult to understand and analyze the exact source of such innovations and the entrepreneurial processes by which they are developed. It is therefore the aim of this study to shed light on how innovations become widely accepted by large segments of the market and specifically which demand‐side forces are at work. An approach suitable for pursuing this objective is to focus on those individuals who are on the leading edge with respect to an important market trend (lead users) and their respective peer communities. As little knowledge is available, an explorative case study design is applied, working with cases from two different industries, specifically the medical equipment and sporting equipment industry. A longitudinal research design is used, extracting data from multiple respondents and various other sources such as reports, publications, databases, or community web pages. The research framework takes a process perspective by following the entrepreneurial processes from invention to commercialization and diffusion. In this process, micro‐level variables at the individual and group level are analyzed as well as the barriers to be overcome by the individual innovator and the community. The findings show that communities play a central and active role in the entrepreneurial process. Community members provide valuable feedback on the overall potential of the lead users' ideas, participate by making concrete development contributions, acting as testers of the new products, and finally helping to diffuse the innovations inside and outside the community. We identify two pull effects on the part of the community: first, community members demand and facilitate the development of prototypes; and second, community members help to cross the chasm between first adopters and the early majority. This paper has various implications for entrepreneurship and innovation research. For entrepreneurship, this article points out peer communities as a specific kind of social network that plays a crucial role in entrepreneurial processes. For innovation research, this article emphasizes the interaction between lead users and their peer communities in the process of developing the next dominant product design.     

Collective action for market chain innovation in the Andes

The Papa Andina network employs collective action in two novel approaches for fostering market chain innovation. The participatory market chain approach (PMCA) and stakeholder platforms engage small potato producers together with market agents and agricultural service providers in group activities to identify common interests, share market knowledge and develop new business opportunities. These forms of collective action have generated commercial, technological and institutional innovations, and created new market niches for Andean native potatoes grown by poor farmers in remote highland areas. These innovations have benefited small farmers as well as other market chain actors. This paper describes Papa Andina’s experiences with collective action for market chain innovation. It then discusses the implications of these experiences for the understanding of collective action and the policy implications for research and development organizations.     

Divergent and convergent logic of firms: Barriers and enablers for development and commercialization of innovations

This paper describes and discusses similarities and differences in the priorities, interests, and interactional goals of companies involved in the development and commercialization of innovation. We refer to such priorities, interests, and interactional goals as the logic of firms, and point to how differences among companies in these regards may enable or inhibit the development and commercialization of innovation. A case study in drug development, from a Taiwanese biopharmaceutical, illustrates two types of innovations: generic and novel drug development. Findings suggest how logic places focus on how certain actors may be more motivated toward innovation, but also on how the logic portrayed by actors can promote certain types of innovations (in this case generic ones), while inhibiting others (novel innovations). The paper concludes that companies need to have convergent logic (i.e. have the same priorities and similar or complementary interests and interaction goals) if an innovation process is to be successful. The focus on priorities, interests, and interactional goals of companies in innovation processes complements previous research that has primarily focused on the actual interaction, not what motivates it. The construct of shared logic nets as a means of analyzing convergent logic and gaps between different types of logic help to understand enablers and barriers to innovation.     

A methodology for the construction of dynamic capabilities in industrial networks: The role of border agents

The article presents a methodology for the formation and functioning of industrial networks that favors the development of dynamic capabilities with regard to the creation, integration, transfer and absorption of knowledge. This methodology has been put into practice in a case study: Lignum Facile. The presence of some misalignments between our initial proposal and its implementation helped us reshape and emphasize particular processes and flows associated to the methodology. Beyond the typical localization and agglomeration advantages, the analysis suggests that the success in the formation and functioning of industrial networks is mainly related to their potential to formulate immaterial relationships capable of stimulating learning processes, the dissemination of technological knowledge and innovative activities. Particularly, we found that the inclusion of border agents – intermediaries between the market and industry such as architects, engineers or designers – is fundamental to develop innovations at the intersection of different scientific and technological disciplines.     

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.     

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.     

The Long and Winding Road: Building Legitimacy for Complex Social Innovation in Networks

Social innovations, which increasingly take place in interorganizational networks, occur in environments characterized by resource scarcity. To secure access to resources, social innovators need to establish legitimacy for their initiatives. Yet, empirical work investigating the process of establishing legitimacy for social innovation—also known as legitimation—is absent. This research aims to uncover how legitimacy is established when social innovations are developed, over time, through interorganizational networks. To investigate this process, the research adopts a longitudinal case study of a network of five market‐leading organizations in the home care sector. A process‐based analysis of evidence from 33 meeting observations, 45 in‐depth interviews, and 249 documents reveals three novel findings. (1) The attainment of overall legitimacy depends on the establishment, over time, of three types of legitimacy targeted at different audiences. These are framed as building blocks oriented toward achieving interorganizational, multilevel, and external legitimacy. (2) The process of establishing legitimacy, across the building blocks, is underpinned by two dominant combinations of patterns—denoted as courting and demonstrating commitment. (3) Variation in two underlying mechanisms—conflicting tensions and role promotion—drives the enactment of these patterns across the different building blocks. The study's novelty lies in the extrication of critical types of legitimacy and dominant patterns and mechanisms which underpin the process of establishing legitimacy. It contributes to social innovation and innovation legitimation literature by providing a deep‐grained understanding of the process to establish legitimacy within social innovations carried out through interorganizational networks.     

Structural social capital evolution and knowledge transfer: Evidence from an Irish pharmaceutical network

Businesses are becoming increasingly involved in collaboration networks to access external knowledge and sustain innovation. In this context, knowledge and knowledge transfer are considered an important source of innovation and competitive advantage. Social capital theory offers a theoretical approach to explain how individuals, groups, and organizations manage relationships and access knowledge resources. The structural dimension of social capital has stimulated debate regarding optimal network configuration to achieve innovation. The extant literature suggests network structures evolve from a bridging configuration to a bonding configuration without examining the details of how the evolution occurs within the network and its stage-by-stage impact on knowledge transfer. This study explores this relationship by analyzing the evolution of a successful Irish pharmaceutical network involving organizations from industry and academia. This research setting encompasses a rare network configuration in an industry known for its lack of collaboration among competing firms. Findings show that structural holes provide access to a set of complementary and heterogeneous knowledge. However, for such knowledge to be exploited, the network configuration has to evolve from a sparse network (small in size and characterized by weak ties across multiple organizational networks), to a large and cohesive network configuration characterized by high levels of commitment, trust, fine-grained information exchange, and joint problem solving. Mechanisms crucial to this evolution include consistently-scheduled meetings, training to communicate tacit knowledge, wide diffusion of knowledge through an on online portal, and relationship specific investments designed to safeguard intellectual property. Surprisingly, industry members appear to transition to a cohesive network faster than do academic members.     

The Effects of Market Network Heterogeneity on Innovation Diffusion: An Agent‐Based Modeling Approach

Innovations usually have an initial impact on very few people. The period of learning or early evaluation precedes the diffusion of the technology into the wider addressed population. More than a transfer, this is best characterized as communication of benefits, costs, and compatibility with earlier technologies and a relative assessment of the new state of the art. Innovation development by an organization or individual creates not just a device (i.e., process or tacit knowledge) but concomitantly a capacity on the part of other organizations or persons to use, adopt, replicate, enhance, or modify the technology, skills, or knowledge for their own purposes. How innovations actually diffuse is to understand the communication of progress, and this framing helps one to design innovations and also design the marketing and testing programs to ready innovations for market and launch them efficiently. Diffusion theory's main focus is on the flow of information within a social system, such as via mass media and word‐of‐mouth communications. This theory presents often in the form of mathematical models of innovation and imitation. Distinct from classical diffusion models, however, consumers are not all identical in how they connect to others within a market or how they respond to information. We examine the effects of various network structures and relational heterogeneity on innovation diffusion within market networks. Specifically, network topology (the structure of how individuals in the market are connected) and the strength of communication links between innovator and follower market segments (a form of relational heterogeneity) are studied. Several research questions concerning network heterogeneity are addressed with an agent‐based modeling approach. The present study's findings are based on simulation results that show important effects of network structure on the diffusion process. The ability to speed diffusion varies significantly according to within‐ and cross‐segment communications within a heterogeneous network structure. The implications of the present approach for new product diffusion are discussed, and future research directions are suggested that may add useful insights into the complex social networks inherent to diffusion. A simple summary is that discovery of significant prime communicator nodes in a network allows innovation development practices to be better calibrated to realistically multiple market segments.