9 research outputs found

    Collaborating for Innovation: the socialised management of knowledge

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    Although the importance of diverse knowledge is widely recognised for open innovation, there may be a gap in our understanding of the social processes that shape how collaborators engage in knowledge exchange. This social gap may be significant because of the powerful, but largely unexplained, role attributed to trust as a social artefact. Moreover, we see trust as a process and that different types of trust are involved in the collaborative process. Thus, this paper uses a qualitative methodology to capture the experiences of innovation collaborators. As explanation of the dynamic interplays of knowledge and trust, we offer a description of phases in the process. Our analysis finds that the relationship moves from transactional to social. The early phases are characterised by technical knowledge, but the later and mature phases are identified with knowledge of the person and by personal trust. The success of innovation is a result of relationships with augmented trust. We found that a fabric of trust is woven from the weft of professional knowledge and the warp of personal knowledge to support innovation. We propose that this developing of relationships might be conceived as becoming more open in the sense of sharing with one another. If so, we seem to have described and offered a social dimension of open innovation

    Automated Monitoring of Collaborative Working Environments for Supporting Open Innovation

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    Open Innovation is a complex procedure that requires effective management and control along the different stages of the overall process. The automated monitoring of Open Innovation is the aim of a collaborative working environment designed, developed and tested in our research labs. This paper illustrates our solution and provides an assessment of the monitoring capabilities implemented. In particular, we propose a data model with a general approach for defining metrics and a list of metrics enabling automated monitoring with an evaluation of their informative power
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