Developing a coevolutionary account of innovation ecosystems

Whilst research in innovation ecosystems has focused on the connectivity, interdependence, and coevolution of actors, technologies, and institutions, there has been a gap in the study of these relationships between actors, with little explanation given on how mutually interdependent parties adapt. In this paper, we draw further on the ecological metaphor to present a view of innovation ecosystems as complex adaptive systems, where patterns of change emerge from microlevel coevolutionary interactions between actors. Drawing on this view, we explore related implications for our understanding of ecosystem boundaries, coevolutionary rules of interaction, and how ecosystems are energized through innovation. Specifically, we contribute to the literature by developing a novel account of innovation ecosystems where actors are bound together through changing modes of coevolution. Drawing on this account, we explore key theoretical and practical implications for our understanding of ecosystem actors, rules of interaction, and the wider innovation ecosystem. We conclude that innovation both maintains and drives change within the innovation ecosystem, by altering the microlevel rules of interaction and coevolutionary relationships between actors.     

Innovation patterns and policy implications of ADSL penetration in Korea: A case study

Korea has been leading the world in broadband Internet access services since 1999. Based on an in-depth case analysis of the penetration of asymmetric digital subscriber line (ADSL) in Korea, the present study explores the patterns of decision making and interactions among key innovation actors, such as the government, Internet service providers, equipment providers, and content providers, using a conceptual framework wherein models of innovation systems and decision making under uncertainty are combined. The results revealed that the Korean government played a pivotal role in the creation of the ADSL-based Internet service market by providing a strong vision for this emerging service, building a coalition among various key actors, and stimulating initial market needs and supply of necessary equipment during the early period of higher uncertainty. As the level of uncertainty decreased with market evolution, however, the role of industrial actors and their market competition became more important to the rapid growth of the ADSL market. Based on these findings, policy and managerial implications are proposed.     

In search of lost time: the temporal construction of innovation management

This paper presents a methodology that is new to the field of innovation management research (IMR), and which is founded upon current interest in theories of time and temporality within organisation studies. We argue that although time is of central importance to innovation management, established methodologies treat time as simply the background against which organisation is done. Even when research is conceptually framed to afford greater attention to time, established methodologies only succeed in highlighting the importance of managers' mobilisation of the past, present and future of innovations. In contrast, we present a methodology that affords time (rather than innovation actors) the more prominent role in analyses and explanations of innovation management. While established research methodologies might offer accounts of the social construction of organisational innovation, we elaborate its temporal construction. The paper reviews the ways in which time and temporality have been deployed (conceptually and methodologically) within IMR. Following a detailed account of the new methodology, its value to innovation management scholarship is demonstrated with a short illustration in which new insights are presented into the emergence of novelty during the management of innovation. The paper concludes with suggestions of areas within IMR where this methodology may generate new insights.     

Actor roles and role patterns influencing innovation in living labs

Innovation networks are embodied and shaped by their participants. This paper examines actors' roles in living labs, which are defined as networks of open innovation. The study utilizes four approaches to roles: structuralist, symbolic interactionist, resource-based, and action-based approaches. Our empirical analysis of 26 living labs in four different countries identifies a number of actor roles associated with open innovation. In addition, it reveals four role patterns characteristic of living labs: (i) ambidexterity, (ii) reciprocity, (iii) temporality, and (iv) multiplicity. These patterns distinguish actor collaboration in networks characterized by heterogeneous actors, the coexistence of individual and shared motives, high degree of openness, and user involvement. Scholars and practitioners of innovation learn that understanding of role patterns in living labs can contribute to building, utilization, and orchestration of open innovation networks.     

Is the value created necessarily associated with money? On the connections between an innovation process and its monetary dimension: The case of Solibro's thin-film solar cells

While IMP research has implicitly identified the intricate and unfair connection between innovation and its monetary dimension, there is a lack of studies which explicitly focus on this connection. Consequently, there is also a lack of concepts with which to investigate the role of money and its connections with other resources in the business landscape. This paper aims to contribute to an increased understanding of this phenomena, by explicitly investigating the connection between the social-material and the monetary dimensions of an innovation journey. We analyze a case study on new type of thin-film solar cells; an innovation journey in which both the social-material and monetary dimensions involve public and private actors and transcend national borders. We identify five key connections between social-material resources and the monetary dimension: (1) Monetary flows finance new resource combinations; (2) the monetary dimension evaluates social-material resources, even though it does so in highly subjective, erratic and negotiated ways; (3–4) business deals and monetary flows both enable and block actions on social-material resources; and (5) business deals distribute, although very unevenly, the costs and benefits of social-material resources among the involved actors.     

Capabilities for advanced services: A multi-actor perspective

Servitization involves manufacturers developing service offerings to grow revenue and profit. Advanced services, in particular, can facilitate a more service-focused organization and impact customers' business processes significantly. However, approaches to servitization are often discussed solely from the manufacturer's perspective; overlooking the role of other network actors. Adopting a multi-actor perspective, this study investigates manufacturer, intermediary and customer perspectives to identify complementary and competing capabilities within a manufacturer's downstream network, required for advanced services. Interviews were conducted with 24 senior executives in 19 UK-based manufacturers, intermediaries and customers across multiple sectors. The study identified six key business activities, within which advanced services capabilities were grouped. The unique and critical capabilities for advanced services for each actor were identified as follows: manufacturers; the need to balance product and service innovation, developing customer-focused through-life service methodologies and having distinct, yet synergistic product and service cultures; intermediaries, the coordination and integration of third party products/services; customers, co-creating innovation and having processes supporting service outsourcing. The study is unique in highlighting the distinct roles of different actors in the provision of advanced services and shows that they can only be developed and delivered by the combination of complex interconnected capabilities found within a network.     

Innomediary agency and practices in shaping market innovation

In today's business world, the role of the Schumpeterian entrepreneur is dwarfed by that of the variety of market actors who co-create innovation by interacting with and integrating resources within performative practices. New actors have entered the market and changed how market innovation occurs. This study focuses on the “innomediary” as a new category of market actor. By moving beyond the mainstream research, we offer a fresh conceptualisation of innomediary agency and practices in shaping market innovation. Acting as catalysts of creativity and knowledge, innomediaries collect information, expertise, skills and experiences from a heterogeneous mass of actors, and encourage the interchange of ideas, tools, images and languages. Innomediary agency enables the deployment of four practices: 1) engaging; 2) exploring; 3) exploiting; and 4) orchestrating. Each practice involves a set of actions and resource integration.     

The impact of network configurations on value constellations in business markets — The case of an innovation network

A growing body of scholars are advocating a better understanding of how value is created in business networks, rather than merely in business relationships or at the level of single actors. Among such networks, innovation networks, i.e. the configurations of strategic entrepreneurial nets aimed at improving the effectiveness of innovation performance, have come under scrutiny in the business marketing literature. However, research that explicitly connects value considerations with innovation network configurations is still in its infancy, with empirical evidence being notably scarce. This study is aimed at identifying if and how network configurations affect value constellation aspects in business networks, in terms of value recipients and value outcomes. We interviewed key informants representing 46 high-technology entrepreneurial firms co-located in an innovation network (Daresbury Science and Technology Park — UK). Our study identifies that different network configurations can co-exist in the same overall network; these, nevertheless, are not alternative independent structures, but rather they interact with each other through actors spanning their boundaries. Our study thus provides an understanding of network configurations relating to specific value consequences, but also provides evidence relating to the interactions between different configurations. By doing this, we establish a bridge between a business marketing and a strategy perspective on value in networks. Important managerial implications and implications for policy makers also emerge from our study.     

Using actors' perceptions of network roles and positions to understand network dynamics

This article explores network dynamics by analysing how actors make sense of time and space in business networks, and how they act based on these perceptions. The time dimension is understood here as actors' perceptions of past, present and future changes in their network. The space dimension is understood, first, in terms of the network position a company holds in relation to its business partners, and secondly, in terms of the network role it enacts. As such, this study relates three pivotal concepts in industrial marketing: network change, network position, and network role. The link between these three relates to the interdependencies within a network, in that if one company attempts to change its position, this will in turn affect the position of other companies. Moreover, actors' attempts to change their position or role in the network are directed by their subjective sensemaking or perceptions of their surrounding network. In this article we posit that in order to understand network dynamics we must analyse how actors attempt to affect change based on their perceptions of their positions and roles in their network environment. Our analysis suggests that although there are similarities between perceptions by actors holding similar positions in the network, such network positions alone cannot explain their actions. Rather, differences in actors' interpretations and enactments of their network role are necessary to explain their networking activities. We use an extensive case study of the changing distribution structure for seafood in Norway and Japan to exemplify these points.     

The up- and downside of collaboration in core and non-core technologies – Selective,contingent, and orchestrated openness in R&D collaborations

This paper contributes to the current debate about the “knowledge sharing-protecting” tension in R&D collaborations by introducing a new angle for analyzing this paradox. Considering the role of internal knowledge sources of the firm, the paper introduces and empirically analyses the interplay between three knowledge governance mechanisms (selective, contingent, and orchestrated openness) and the different technological fields of the firm (core, related non-core, and distant non-core technologies). Based on a unique first-hand large-scale project-level dataset from a Global 100 firm across a 10-year span, this research finds that R&D collaborations selectively conducted in firm’s related non-core technological fields promise the best innovation performance. Further, by orchestrating its projects across core and non-core technological fields in the same knowledge portfolio, the firm can leverage a network of inter-connected projects when collaborating with external partners. As such, the firm can strategically “distribute” collaboration risks across multiple projects, while optimize its access to external knowledge that it intends to get. Finally, contrary to the common assumption, this study does not find any discriminating factors against market-based partners in their contribution to innovation in both core and non-core technologies.     

Enlightening the dynamic capabilities of design thinking in fostering digital transformation

Digital transformation describes the deep-seated changes in organizational activities, processes, and capabilities induced by the advent of digital technologies. Digital transformation requires sensing, seizing, and reconfiguring the digital technological challenges into opportunities. Academic literature acknowledges the central role of design as a driver of innovation. Furthermore, recent research discloses the value that design, especially design thinking, can have in leading digital transformations. In this understanding, design thinking has been proven to be an approach based on dynamic capabilities. What seems to lack in the current understanding is how the dynamic capabilities of design thinking can facilitate digital transformation. Thus, the paper aims to shed light on how dynamic capabilities of design thinking foster discovering the opportunities digital technologies provide to enact the transformation. This paper investigates four different cases of consulting projects where the adoption of design thinking dynamic capabilities enhance the value of digital technologies towards a more human centric digital transformation. By being a business-to-business market, the consulting environment might inform readers how design thinking dynamic capabilities are salient for digital transformation. Examining them, the paper proposes five design thinking dynamic capabilities that managers should cultivate: extending, debating, cropping, interpreting, and recombining. Concerning academic debate, the paper enriches the understanding of digital transformation by unshadowing the value that design thinking dynamic capabilities might play in it.     

Change processes in open innovation networks – Exploring living labs

Examining change in business networks can illuminate how time, temporality and process unfold and engage different stakeholders in open innovation. Living labs are increasingly popular open innovation networks that provide a fruitful area in which to study change processes and their influencing factors in network dynamics. We adopt a longitudinal process perspective to analyze eight living labs focused on urban development in a Northern European city. Our analysis reveals six pertinent processes: (i) expansion, (ii) reinforcement, (iii) focusing, (iv) unification, (v) termination, and (vi) recurrence. These processes reflect change in networks characterized by diverse actors, the coexistence of individual and shared motives, a high degree of openness, and user involvement. The identified change processes are a result of living labs disclosing their needs, data, and operations to their stakeholders. We propose a theoretical concept, which we describe as “network boosters”, to illustrate the factors that foster change processes. Scholars and practitioners of innovation management can learn from these findings that understanding change in open innovation networks may help to depict and predict short- and long-term relationships, and it may assist them in managing innovation in open environments.     

Innovation through institutionalization: A service ecosystems perspective

This article explores the role of institutions in innovation from a service-ecosystems perspective, which helps to unify diverging views on innovation and extend the research regarding innovation systems. Drawing on institutional theories, this approach broadens the scope of innovation beyond firm-centered production activities and collaboration networks, and emphasizes the social practices and processes that drive value creation and, more specifically, innovation — the combinatorial evolution of new, useful knowledge. Based on this ecosystems view, we argue for institutionalization – the maintenance, disruption and change of institutions – as a central process of innovation for both technology and markets. In this view, technology is conceptualized as potentially useful knowledge, or a value proposition, which is both an outcome and a medium of value co-creation and innovation. Market innovation, then, is driven by the combinatorial evolution of value propositions and the emergence and institutionalization of new solutions.     

The sum of its parts: Examining the institutional effects on entrepreneurial nodes in extensive innovation ecosystems

Innovation ecosystems are intricate networks that provide opportunities to access resources, capabilities, and cooperating firms for value-creating knowledge transfer. While the literature has noted the complex nature of diverse innovation ecosystem actors, fewer studies have refined how macro-institutional pressures impact behavioral interactions among diverse entities. The innovation ecosystem research has yet to theoretically refine how micro-level complex components (entities) navigate environments, coalescence, and overcome barriers within varying institutional conditions. Ultimately, each entity behaves and is governed by diverse motivational drivers. Yet, the divergent impacts this has on key behaviors have not been covered by broader-scale empirical studies. Therefore, this study focused on the institutional mechanisms that influence the crucial role of entrepreneurial networking activities in ecosystems. Using a global sample, the study employed a multi-level logistic regression model and data developed from the Global Entrepreneurship Monitor, World Development Indicators, Index of Economic Freedom, and the World Governance Indicators to reveal certain forms of institutional settings that influence collaborative behavior in the ecosystem and entrepreneurial networks' emergence. It emphasizes the need for managers and policymakers to recognize these effects and enact strategies that promote value-creating entrepreneurial network behavior on the individual level to benefit the holistic ecosystem performance.     

Does experience matter? — A study of knowledge processes and uncertainty reduction in solution innovation

Solution innovation often exposes uncertainties that are addressed by corporate collaboration through networks. This paper examines the link between uncertainty reduction and knowledge processes. It focuses specifically on the role of company experience which some have argued to be a vital form of knowledge accumulation, whereas others assert that it is not always beneficial. Our central finding is that experience enhances knowledge transfer, yet contributes little to knowledge cross-fertilization activities. Knowledge transfer alone does not lead to uncertainty reduction. Drawing upon this we make the case for a more nuanced concept of knowledge cross-fertilization. Managers and innovators are therefore urged to look more closely at the question of experience if they are to harvest full value from network collaboration.     

Principles of innovation to build nutrition-sensitive food systems in South Asia

Innovations within global food systems have contributed to the predicament known as the triple burden of malnutrition – the co-existence of hunger and micronutrient deficiency with the diseases of overnutrition, such as obesity, diabetes and hypertension. We use the case of the triple burden in South Asia to demonstrate analytically that innovation is a double-edged sword, with positive and negative potential, rather than a simple good. To achieve the Sustainable Development Goals that target food and nutrition security and sustainable agriculture (e.g. SDGs 2, 3 and 12), the countries of South Asia need more innovation, but, first, they would also benefit from some intelligent reflection about what innovation means, the directions it should take, and its risks and downsides alongside its benefits. In the present juncture, South Asian countries have an opportunity to learn from the experiences of other developing nations, and choose from alternative options to steer their own course. In this paper, we discuss how innovation has contributed to the present situation and ask how alternative kinds of innovation may enable South Asian countries to escape from the triple burden. We describe a conceptual framework that may be useful for thinking about how innovation pathways can be created and directed towards the goal of improving nutritional outcomes in South Asia. The framework draws attention to the direction of socio-technical change, the distribution of technologies and their risks and benefits, and the diversity of possible innovation pathways (STEPS Centre, 2010). We illustrate these points using examples of innovations in the areas of agricultural production, value chain interventions, and policy and institutional reforms.     

The role of multiple ties in knowledge networks: Complementarity in the Montefalco wine cluster

After decades of studies about pervasive, wide, and inclusive knowledge externalities and the advantages of being there, recent literature on management, industrial marketing, economic geography, regional studies, and related fields has stressed that knowledge spreads imperfectly, unevenly, and selectively within regional and cluster contexts. In this respect, little is known about the role played by heterogeneous knowledge ties among the same set of actors and to what extent they follow overlapping or different routes of exchanging knowledge. Thus, an investigation of multiple knowledge networks in clusters is a fundamental approach to interpret the reasons for innovation and economic performance.With an original dataset comprised of data collected by surveys directly administered in local wineries in the Montefalco wine region of Italy, this paper aims to analyse the roles played by different local knowledge ties within a sector that is critically driven by the exchange of knowledge among economic actors. Social network analysis and exponential random graph modelling were applied to investigate the driving forces of the knowledge flows. The empirical results showed that economic and social ties positively affect the spread of knowledge, but the former has a higher magnitude impact than the latter. Moreover, they follow complementary routes of exchange rather than overlapping ones. We suggest that such a structure has implications for understanding the diffusion of knowledge and structures of innovation in cluster contexts.     

Interfirm Innovation under Uncertainty: Empirical Evidence for Strategic Knowledge Partitioning*

This paper analyzes how uncertainty and life‐cycle effects condition the knowledge boundary between assemblers and suppliers in interfirm product development. Patents associated with automotive emission control technologies for both assemblers and suppliers are categorized as architectural or component innovations, and technology‐forcing regulations imposed by the government on the auto industry from 1970 to 1998 are used to define periods of high and low uncertainty. Results confirm that suppliers dominate component innovation whereas assemblers lead on architectural innovation. More importantly, when facing uncertainty firms adjust their knowledge boundary by increasing the knowledge overlap with their supply‐chain collaborators. Suppliers clearly expand their knowledge base relatively more into architectural knowledge during such periods. But assemblers' greater emphasis on component innovation in periods of greater uncertainty is only true as a relative deviation from an overall trend toward increasing component innovation over time. This trend results from an observed life‐cycle effect, whereby architectural innovation dominates before the emergence of a dominant design, with component innovation taking the lead afterward. Thus, for assemblers life‐cycle effects may dominate over task uncertainty in determining relative effort in component versus architectural innovation. This work extends research on strategic interfirm knowledge partitioning as well as on the information‐processing view of product development. First, it provides a large‐scale empirical justification for the claim that firms' knowledge boundaries need to extend beyond their task boundaries. Further, it implies that overlaps in knowledge domains between an assembler and suppliers are particularly important for projects involving new technologies. Second, it offers a dynamic view of knowledge partitioning, showing how architectural knowledge prevails in the early phase of the product life cycle whereas component knowledge dominates the later stages. Yet the importance of life‐cycle effects versus task uncertainty in conditioning knowledge boundaries is different for assemblers and suppliers, with the former dominating for assemblers and the latter more influential for suppliers. Finally, it supports the idea that architectural and component knowledge are critical elements in the alignment of cognitive frameworks between assemblers and suppliers and thus are key for information‐exchange effectiveness and resolution of task uncertainties in interfirm innovation.     

Temporality of resource adjustments in business networks during severe economic recession

Business cycles are not a new phenomenon. Firms have in the past found ways to, more or less successfully, adjust their resources to such cyclical changes. However, the combination of a global crisis in financial markets and a severe down turn in demand on globally interdependent markets in the “real” economy is unprecedented which suggests that established business practices to handle cyclical variations are challenged. In this article we focus on temporal aspects of resource adjustments, taking into account also network interdependencies in contemporary markets. We develop a conceptual framework towards understanding how business actors construct temporality of resource adjustment activities. We relate temporal orientation of actors to temporal profiles of activities, seeing them as both influenced by actors' network orientation.     

Entry timing and innovation strategy in feature phones

Research summary : This inductive study examines how firms make decisions about the timing of innovations, focusing on the mobile handset industry during the feature‐phone era. Through qualitative and quantitative data, we reveal how individual technology‐entry decisions are influenced by a portfolio‐level timing preference, and how this preference informs other aspects of innovation strategy, too. Early movers address greater, more uncertain revenue opportunities with broader, less selective innovation portfolios. Conversely, late movers target lower, more certain revenue opportunities with narrower, more selective portfolios. While timing per se seems unrelated to performance, a timing‐strategy alignment is. Future research on the equifinal configurations we propose—broad/nonselective for early movers and narrow/selective for late movers—could thus help resolve the debate about the link between timing and performance. Managerial summary : We study how firms make decisions about the entry of new product features, in this case mobile phone technologies. During development firms weigh the scale and likelihood of features' commercial success. Some firms display a preference for earlier entry, which offers temporary monopoly rewards if uncertainty resolves favorably, while others tend to opt for later entry, which offers greater certainty but lower rewards due to competitive preemption. The innovation portfolios of these companies thus pursue differently structured opportunities, bringing about different strategic approaches. Since early movers aim for big hits to compensate for a higher failure rate, they launch a broader set of features and exert little selective pressure on the development portfolio. By contrast, late movers' lower payoffs reduce their tolerance for failure, making them launch fewer features and emphasize selectiveness; i.e., they invest in learning from the resolution of uncertainty so as to choose features more discriminately. When we examine innovation performance, timing has no significant effect but matching timing with feature breadth does. Copyright © 2015 John Wiley & Sons, Ltd.