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Understanding when entrants might have an advantage over an industry’s incumbent firms in developing and adopting new technologies is a question which several scholars have explained in terms of technological capabilities or organizational dynamics. This paper proposes that the value network—the context within which a firm competes and solves customers’ problems—is an important factor affecting whether incumbent or entrant firms will most successfully innovate. In a study of technology development in the disk drive industry, the authors found that incumbents led the industry in developing and adopting new technologies of every sort identified by earlier scholars—at component and architectural levels; competency-enhancing and competency-destroying; incremental and radical—as long as the technology addressed customers’ needs within the value network in which the incumbents competed. Entrants led in developing and adopting technologies which addressed user needs in different, emerging value networks. It is in these innovations, which disrupted established trajectories of technological progress in established markets, that attackers proved to have an advantage. The rate of improvement in product performance which technologists provide may exceed the rate of improvement demanded in established markets. This mismatch between trajectories enables firms entering emerging value networks subsequently to attack the industry’s established markets as well.

This chapter aims at building a conceptual framework that could inspire innovation policies able to take into account the emerging agricultural and rural agenda, based on a comprehensive conceptualization of the innovation system. The systems of innovation and the broader processes of knowledge creation (and co-creation), transfer and adoption represent a crucial set of conditions influencing family farms' trajectories in response to the various opportunities and drivers of change, as well as their capability to contribute to sustainable food systems and FNS. This chapter analyzes the concept of innovation in relation to transition towards new configurations with a non-linear and multidimensional vision based on actors assembling themselves in a geographical space where resources and information are used to generate change. This leads to consider knowledge as an asset co-generated by the interaction of different actors within agricultural knowledge and innovation systems (AKIS) (Leeuwis & van den Ban, 2004). Agriculture and countryside are experiencing deep transformations towards concentration and globalization on one side and post-productivism and rural development on the other (Van der Ploeg et al., 2000). These processes of change require innovation policies aimed at pursuing ‘second-order’ innovation based on new goals and new rules. From a transition perspective (Geels, 2004) these radical innovations can develop within niches to a certain extent protected from mainstream market forces, to be then progressively embodied into higher structuration levels (the ‘regimes’).

Whereas incumbents often struggle to respond to disruptive innovations, start-up companies frequently face difficulties in establishing them within existing ecosystems. Phased acquisitions, that is, trajectories where an incumbent initially takes an equity stake in a start-up and subsequently acquires it, have been suggested as viable strategy to address these challenges. Whereas prior research has focused on the macro-level governance of such phased acquisitions, the authors explore the micro-level governance, examining how the existence of and changes in particular coordination and control mechanisms can shape the phased acquisition and its performance implications. Based on a longitudinal process study of a phased acquisition in which one start-up and one incumbent jointly developed and commercialized a disruptive technology, the authors develop a process model that (1) illuminates the existence of micro-level governance shifts and their impact on the decision to transition from equity alliance to acquisition, (2) identifies specific triggers of micro-level governance shifts, and (3) emphasizes the existence of counterintuitive micro-level governance spillovers across alliance and acquisition.

This chapter seeks to explain how societal institutions, which may exist at the national or regional levels, shape the types of organizational learning predominating at the level of the firm. It focuses on education and training systems, and labour markets as key societal institutions shaping the micro-level processes of learning and knowledge creation within and between firms. The chapter argues that tacit knowledge, which is difficult to create and transfer in the absence of social interaction and labour mobility, constitutes a most important source of learning and sustainable competitive advantage in the knowledge economy. It looks at the cases of Japan, the high-technology clusters in the USA and U.K., and Denmark as illustrative examples.

This article considers the relationship between consumers’ valuation of performance improvements and technology development over the technology life cycle. Presenting a demand-based perspective, it explores how the character of life cycle maturity, the nature of competitive threats, and firms’ innovation incentives all change when consumer demand for performance matures in advance of a technology’s performance trajectories. It characterizes demand maturity by introducing the idea of a demand S curve as a complement to the traditional technology S curve. In doing so, it offers a new lens for assessing firms’ prospects of achieving superior performance through the commercialization of new technologies.

The purpose of this chapter is to investigate the nature and range of solutions that can empower and (re-)engage vulnerable and marginalized populations so that they can fully participate in the social, economic, cultural, and political life. These innovative social solutions may be viewed as interactive, generative, and contextualized phenomena that are driven by individuals, organizations and institutional actors at micro, meso, and macro levels.

The use of Middle Range Theory (MRT) as an integrative approach provides an understanding of the processes and mechanisms that govern social phenomena including social innovations. Middle range theorizing focuses on empirical phenomenon and creates general statements that can be verified by data. As such MRT provides an appropriate framework to investigate social innovation trajectory and dynamics.

MRT has been used within the context of SIMPACT, a research project funded under the European Commission’s 7th Framework Program and is the acronym for “Boosting the Impact of Social Innovation in Europe through Economic Underpinnings.” The application of MRT to selected case studies has permitted to identify the micro (individual actions) and macro (structures) links in a variety of social and economic contexts across Europe.

This chapter provides new insights as how different themes studied in the SIMPACT project (i.e., migration, unemployment, education, gender, etc.) in different economic and geographic zones (i.e., Anglo-Saxon, Continental, East-European, and Scandinavia) have been treated by social innovators in response to problems of welfare, economic exclusion, and vulnerability. The research findings are susceptible to be of use in other countries with different economic, political, and social structures.

The significance of vulnerability is well-recognized by social innovators, intermediaries, and impact investors including governments and policy-makers. This requires greater policy and practical interventions, guidelines, and support. However the capacity to intervene is conditioned by financial and human resources. Further investigation about alternative social innovation business models will shed light on the resources and policies that would be needed to foster social innovation.

The analysis of social innovations' economic factors by case studies represents a pioneering effort to highlight social innovation path dependency and building as an effort to overcome the problems of vulnerability and exclusion.

Technological innovation in context has been studied by economists and sociologists of technical change and innovation. I shall present the insights and perspectives from this body of literature (including some of my own work), in order to highlight the dynamics of technological innovation processes and the possibilities to influence them — by managers, as well as governmental and societal actors. These actors often work with a limited view of the complexities of technological change and innovation, and they might do better if they were to use recent insights, as I have argued previously (Rip, 1995). Thus, a further topic, visible between the lines of my main exposé, is the relation between the “theory” — i.e., insights from social scientific studies — and the “practice” of policy or action.

This chapter establishes the conceptual and analytic framework for the book. It relates not only to much of the existing work in evolutionary and institutional economics, but also to work in cultural science and cultural semiotics domains as well as in media convergence and transmedia studies. The central concept it first deploys is ‘innovation systems’ as applied in national, regional, international and sectoral contexts. It then builds on the general theory of economic evolution by Kurt Dopfer and Jason Potts and reviews the tools this theory provides to carry out a meso-level analysis of industries co-innovating and converging. It then proposes a new concept – ‘cross-innovation’ – to refer to the emergence of new structures and ‘rules’ at the boundaries of existing industries.

Transitional governance trajectories – i.e. trajectories in which an established firm first engages in equity collaboration with an entrepreneurial firm and subsequently acquires the entrepreneurial firm – are becoming an increasingly popular strategy for established firms to get access to novel and pioneering technologies. In this chapter, we critically assess the existing literature on transitional governance trajectories. In particular, we rely on insights from the existing alliance and acquisition literature to question three implicit assumptions (i.e. established partner is the dominant partner in transitional governance trajectories; established partner behaves as a passive financial investor during pre-acquisition collaboration and post-acquisition integration is likely to proceed smoothly) that are applied by existing studies on transitional governance. On the basis of this critical assessment, we identify theoretical, methodological and managerial challenges for future research on transitional governance.

This chapter concludes the section on cross-innovation practices between audiovisual (AV) media industries and the health care sector. It suggests that the main case studies discussed in this section – Estonia in general and Aarhus Region in Denmark – tell of two different trajectories on how the emergence of cross-innovation systems can be facilitated by policies. Local policymakers in Aarhus have worked systematically to raise awareness and facilitate contacts between AV media and other sectors and this has resulted in an active start-up scene at the intersection between the media and the health care industries. Estonia, which is focusing on traditional cultural policymaking, has not recognised similar dynamics. Yet, Estonia may be still better prepared for the (global) platformisation of e-health services with its national e-governance systems, while Denmark’s health-related e-services remain fragmented and ripe for platformisation by multinationals, potentially undermining local cross-innovation systems.