• An evolutionary perspective on convergence: inducing a stage model of inter-industry innovation

      Hacklin, Fredrik; Marxt, Christian; Fahrni, F. (International Journal of Technology Management, 2010)
    • Coevolutionary cycles of convergence: an extrapolation from ICT industry

      Hacklin, Fredrik; Marxt, Christian; Fahrni, F. (Technology Forecasting and Social Change, 2009)
      Convergence between technologies can be regarded as an increasingly emerging trend, and has received particular attention in the coming-together of previously distinct products and solutions within the information and communication technologies (ICT) industry. In previous research, the overall impact of the convergence phenomenon remains ambiguous. Whereas some scholars suggest convergence to be associated with disintegration, entry and growth, others relate the phenomenon to opposite effects, such as consolidation and shakeouts. This inconsistency in managerial conceptions on convergence formulates a need for an integrated understanding. Within a multi-case study approach, the convergence within ICT has been observed through examining the coevolution of actors in a converging environment, and patterns in innovation dynamics and managerial responses have been identified. In reflection with existing models of innovation cycles, a model for convergence innovation processes is elaborated and discussed. In particular, the reasoning within the ICT case set is transferred onto the currently emerging entrepreneurial activities in the intersection between nano- and bio-technologies (NBT), resulting in a comparison between ICT and NBT convergences, and deriving recommendations from a retrospective to a predictive context.
    • Strategic venture partner selection for collaborative innovation in production systems: A decision support system-based approach

      Hacklin, Fredrik; Marxt, Christian; Fahrni, F. (International Journal of Production Economics, 2006)
      Collaborative innovation and product development projects can be regarded as an emerging challenge in innovation management, being partly reflected by the currently observable industry demand for support from strategic planning tools serving this purpose. A software tool for providing operationalized decision support has been developed, based on previous research in the area of collaborative innovation success factors. By applying experience of coaching a public research organization in finding a suitable partner for joining forces in the research and development of a future energy technology, this paper presents a solution taking into account the given competitive restrictions. Being designed for usage within a coaching framework, the tool provides a multi-perspective and interactive overview of potential venture partners to the decision-makers. Furthermore, the adoption of an integrated partner selection process for supporting technology-intensive organizations in their preparation and implementation of successful collaborative ventures is suggested.