Transfer of Innovation in Networks - A Narrative Systems Approach on Inquiring Communication
نویسنده
چکیده
The paper presents the idea of a communication platform consisting of a rather untraditional way of approaching the knowledge transfer process in project development. By combining theories and practice of Inquiry, Communities of Practice and Antenarratives, a new turn of coping with The Systems Approach is being established. Participants in a cross-cultural project can by applying this methodology tell their own story and develop their joint future story in an understandable and heroic mood. Heroic in a sense that people dare to mobilize courage for oneself and others to act differently against mainstream ideals. A mood that is undeniably needed in the quest for knowledge and wisdom. Still, this cross-cultural communication platform is systemic in a broad sense because it is formulated from a systems perspective, meaning that it is based on some systems principles that we find crucial in processing knowledge transfer. For instance, the platform is based on the view that everything is connected to everything else, that nothing is a collection of parts, but a part of an integrated whole. As much as knowledge transfer is being argued for in this platform, knowledge creation becomes real as a consequence. With this paper, we also wish to broaden the picture of how different frames of narrative can reflect different ways of viewing the world, which undoubtedly influences the way we choose to tell our story.
منابع مشابه
The Need for a Dynamic Approach to Health System-Centered Innovations; Comment on “What Health System Challenges Should Responsible Innovation in Health Address? Insights From an International Scoping Review”
Lehoux and colleagues plea for a health systems perspective to evaluate innovations. Since many innovations and their scale-up strategies emerge from processes that are not (centrally) steered, we plea for any assessment with a dynamic, instead of a sequential, approach. We provide further guidance on how to adopt such dynamic approach, in order to better un-derstand an...
متن کاملOrganizational Learning and Knowledge Spillover in Innovation Networks: Agent-Based Approach (Extending SKIN Framework)
In knowledge-based economy, knowledge has a public good and non-rivalry nature. Firms build their own knowledge stock not only by means of internal R&D and collaboration with partners, but also by means of previously spilled over knowledge of other firms and public research laboratories (such as universities). Firms based on their absorptive capacity, and level of intra-industry and extra-indus...
متن کاملA Case for Open Network Health Systems: Systems as Networks in Public Mental Health
Increases in incidents involving so-called confused persons have brought attention to the potential costs of recent changes to public mental health (PMH) services in the Netherlands. Decentralized under the (Community) Participation Act (2014), local governments must find resources to compensate for reduced central funding to such services or “innovate.” But innovation, even when pressure for c...
متن کاملConnections, Communication and Collaboration in Healthcare’s Complex Adaptive Systems; Comment on “Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation”
A more sophisticated understanding of the unpredictable, disorderly and unstable aspects of healthcare organisations is developing in the knowledge translation (KT) literature. In an article published in this journal, Kitson et al introduced a new model for KT in healthcare based on complexity theory. The Knowledge Translation Complexity Network Model (KTCNM) provides a fresh perspective by mak...
متن کاملBalanced clusters and diffusion process in signed networks
In this paper we study the topology effects on diffusion process in signed networks. Considering a simple threshold model for diffusion process, it is extended to signed networks and some appropriate definitions are proposed. This model is a basic model that could be extended and applied in analyzing dynamics of many real phenomena such as opinion forming or innovation diffusion in social netwo...
متن کامل