The open innovation approach has been one of the most discussed topics in innovation management literature in the 2000's. Existing literature on open innovation shows an evolving diffusion of open innovation in certain industries and contexts. Various case studies and theoretical work suggest that the open innovation adoption decision within a company could be triggered by internal and external factors. The goal of this dissertation is to provide comprehensive empirical evidence for the adoption of inbound and outbound open innovation activities in Europe. Furthermore, the thesis will provide empirical evidence for a set of open innovation drivers using primary data from European firms to link the adoption of open innovation with organizational capabilities, characteristics of the market environment, and human resource capabilities. The results will show the current level of open innovation adoption in Europe and its drivers. This could have managerial implications by showing influencing of organizational and human variable on the adoption of open innovation strategies.

Ever since Henry Chesbrough coined the term in 2003, the number of studies exploring the new paradigm of open innovation (OI) has grown exponentially, with researchers investigating and exploring the application of open principles in an array of industrial and geographical contexts. Despite this growing interest from the scientific community as well as practitioners, our understanding of the implementation of open principles from an SME perspective remains, to a large extent, underdeveloped. In particular, uncovering how the SME can best exploit and manage their external network to facilitate both exploration and exploitation activities has, thus far, been largely neglected. Therefore, an exploration of the implementation and successful management of OI projects in smaller firms from a network perspective, through a systematic review and assimilation of the current body of extant studies seems a timely and necessary step, in order to form a roadmap for a future research agenda. Consequently, the aim of this paper is to shed light on the antecedents and outcomes of successful OI network management in small firms. Systematic analysis of 51 extant studies reveals that many barriers associated with implementing OI in SMEs often referred to as liability of smallness, can be overcome by the effective network management, coupled with the implementation of an open culture. Openness can also be seen to be positively related to business model flexibility and adaptability. Results though, remain unclear on the exact role of the intermediary and whether entrepreneurial capacity, trust, increased social interaction and goal alignment among the SME and their network partners, as well as network unity and conflict mitigation/resolution can be described as a driver for, or an outcome of successful open projects. Therefore, these potential relationships between openness and managerial capacity are proposed for further empirical testing and analysis. The paper concludes by presenting a map for future research, incorporating a series of propositions suggested during the analysis and consolidating these issues into a framework of suggestions for future research. / Series: Working Papers / Institut für KMU-Management

The knowledge base concept in the past has often been applied in its "pure" form, i.e. it was assumed that there are dominant knowledge bases in particular sectors and firms, that shape the knowledge- and innovation process and related networks. For example, it has been argued that in the case of "analytical sectors" such as biotech codified knowledge generated by universities and R&D organisations are key for radical innovation, and that such knowledge is often transmitted by formal R&D cooperations and university-firm links. "Synthetic sectors" such as machinery on the other hand were assumed to innovate more incrementally by recombining existing knowledge that was often drawn from suppliers or service firms. Empirical literature partly has confirmed these basic patters, but also has demonstrated that more complex knowledge processes are underlying these overly schematic expectations. In addition, there have been arguments by Asheim, Boschma and Strambach, among others, more recently that combinations of different but related knowledge bases and -assets might be of high relevance for understanding innovation processes of firms in particular sectors and regions. This implies that innovation of firms e.g. in "analytical sectors" might benefit not just from new and basic knowledge generated by research, but also from recombining existing and applied knowledge or by drawing on symbolic knowledge assets. The same argument for the relevance of combinatorial knowledge bases applies for "synthetic" and "symbolic sectors", but in different forms. The paper investigages if the reliance on combinatorial knowledge bases leads to a better innovation performance and more radical forms of innovation than the use of more narrow knowledge assets. The paper investigates the relevance of combinatorial knowledge bases for innovation at first conceptually and based on respective literature. In the second part we analyse this question empirically by drawing on findings for the ICT sector in three regions of Austria (Vienna, Upper Austria, and Salzburg). (authors' abstract) / Series: SRE - Discussion Papers

It is commonly accepted nowadays that innovations are brought forward in an interactive process of knowledge generation and application. The business sector, the science sector, and policy actors are involved in this process as has been stressed in concepts such as innovation systems and the network approach. It is still unclear, however, as to what extent different kinds of innovation rely on specific knowledge sources and links. More advanced innovations on the one hand might draw more on scientific knowledge, generated in universities and research organizations. Such knowledge is often exchanged in personal interactions at a local or regional level. Incremental innovations and the adoption of new technologies, on the other hand, seem to occur often in interaction with partners from the business sector also at higher spatial levels. In this paper we analyze such patterns of knowledge links. After dealing with knowledge interactions from a conceptual view and reviewing the relevant literature, we present an empirical analysis for Austria. The findings show that firms introducing more advanced innovations are relying to a higher extent on R&D and patents, and that they are cooperating more often with universities and research organizations. Firms having introduced less advanced innovations rely more on knowledge links with business services. Furthermore, the employment of researchers was identified as a key factor enhancing knowledge interactions of firms with universities. (authors' abstract) / Series: SRE - Discussion Papers

For those organizations that experience disruption, they usually understand the situation when it is already too late. The real challenge to any theory, especially if it is of high relevance for managers, is how it performs predictively. Can the theory of disruptive technologies be used not only to analyze cases ex post but to predict the potential disruptive technologies ex ante? Established companies are skeptical of the idea of disruptiveness, because of the difficulty of making predictions given the ex post nature of the theory. In this regard the goal of this report is to provide a general measure of disruptiveness and develop a framework that can assess technologies whether they have the potential to be proven disruptive. The developed assessment framework captures the essential characteristic and holistic success factors for disruptive technologies based on the theory of Christensen and a number of clarifications as seen in the literature. The framework is applied and validated by assessing the disruptive potential of five renewable energy technologies (wind energy, solar energy, biomass, hydro power, geothermal) in the power generation, heating and transportation sectors of four European countries (Austria, Bulgaria, Germany and Romania). The results show the applicability of the framework and give insights into technology and country specific determinants of energy market sector disruptions. (authors' abstract) / Series: Working Papers / Institute for Strategic Management / Energy & Strategy Think Tank