Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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  • Publication
    European standardization of innovation management: The sufficiency of the CEN/TS 16555 in the 6th generation of innovation management
    ( 2019)
    Cap, J.-P.
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    Hinzmann, F.
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    Kohl, H.
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    Orth, R.
    Although being an innovator is an important role to play for significant growth and profitability of firms to gain competitive advantages, companies struggle to find and implement an efficient and effective innovation management system and innovation process for new product development (Salomo et al. 2007). The emerge of innovations is rarely incidentally, therefore, require a systematic approach. To enhance the innovation system, companies are constrained to develop and implement the necessary framework for all innovation activity. Contrary to regular management objectives, innovation management can constrain new barriers and unknown challenges and requires therefore a different approach compared to routine functions (Granig und Perusch 2012). The CEN/TS 16555 has the objective to prescribe technical requirements to be fulfilled for the development and implementation of a sustainable innovation management system into an organisation. The centre of this innovation management model is the innovation process which starts with an idea and ends with innovation results. As organisational aspects, such as innovation supportive leadership, strategy, factors and techniques are key elements of this model, the innovation process get enriched by assessment, improvement and planning of the process itself (Technical Specification 16555-1). This paper investigates the current European standardization activity regarding the implementation of innovation management approaches to tackle the abovementioned challenge of the implementation of innovation management in reference to the in DIN Spec CEN/TS 16555 introduced in 2016 by the European Committee for Standardization (CEN). This paper will analyse the CEN/TS 16555 for its sufficiency regarding the bigger picture of innovation management by linking it to main literature and best practices. For the comparison of the specification and the innovation management requirements and purposes, this paper will specifically focus on the innovation management framework in the 6 generation of innovation management.
  • Publication
    Multi level network management - A method for managing inter-organizational innovation networks
    ( 2019)
    Cap, J.-P.
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    Blaich, E.
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    Kohl, H.
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    Raesfeld, A. von
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    Harms, R.
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    Will, M.
    Collaboration in inter-organizational networks is a major driver of innovation. Nevertheless, methods that practitioners can rely upon for managing innovation networks are still scarce. This research fills this gap by providing an approach that increases innovation output by intensifying collaboration in networks. An action research methodology with two cycles of action was adopted. The first cycle develops a method of network assessment designed to evaluate a network's collaboration potential. The second cycle iteratively builds on the first cycle and extends the method by a managerial approach to network management on an individual level.
  • Publication
    The innovation network scoreboard: Towards key performance indicators for the assessment of innovation networks
    ( 2015)
    Kohl, H.
    ;
    Cap, J.-P.
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    Blaich, E.
    ;
    Raesfeld, A. von
    This work operationalizes a framework for the assessment of innovation networks. While a theoretical framework provides value to scholars, practitioners require concrete methods and indicators that they can apply to their projects. Scholars face the same demand when conducting empirical research. This paper seeks to meet this demand, while also contributing to the theoretical perspective by uniting different research streams in the field of network research in one framework, the Innovation Network Scoreboard. The concept of innovation networks has gained popularity during recent years and much research has been dedicated to the relation between networks and innovation outcome. Still, scholars have criticized the field of network research for lacking academic consensus and generalizable empirical findings. These circumstances make it difficult for practitioners to apply network theories and to draw conclusions for real world networks. We suggest key performance indicators that provide practitioners with some guidance in this difficult task. The suggested measures are based on an extensive literature review. We have chosen concepts, for which to our interpretation some academic consensus has been reached. According to the previously introduced model we developed key performance indicators for the dimensions input factors of innovation networks, network characteristics in terms of network content, network structure and network atmosphere and finally innovation output. Combined, these dimensions provide a holistic overview over an innovation network and allow for a root cause analysis that provides hints on the cause of a change in innovation output. We provide quantitative measures for each dimension and summarize those in the Innovation Network Scoreboard. This tool provides a concise overview over the most important indicators of innovation networks. Furthermore, we describe concrete approaches to the measurement of each indicator. In sum a concrete method is provided to practitioners for the evaluation of innovation networks from different perspectives.
  • Publication
    Support of innovation networks in manufacturing industries through identification of sustainable collaboration potential and best-practice transfer
    ( 2015)
    Kohl, H.
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    Orth, R.
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    Riebartsch, O.
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    Galeitzke, M.
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    Cap, J.-P.
    The increasing global competition within today's manufacturing industries is confronting organizations with interdisciplinary challenges that require intellectual expertise and innovative technological solutions in various knowledge areas. Research organizations and manufacturing companies can improve their overall performance by bundling expertise in collaborative innovation networks. For this purpose a systematic Benchmarking approach has been developed by Fraunhofer IPK to match the competencies and capacities within a pool of organizations in order to facilitate a sustainable cooperation in terms of resources, customers and R&D topics. Furthermore, a KPI-based identification of best performing network-partners allows an initiation of Best-Practice transfers to gain sustainable competitive advantages for the whole network. Based on a methodological approach, the identification of collaboration potentials and Best-Practices is supported by software tools that visualize the results in an understandable and applicable way.