Today’s companies still rely heavily on expert knowledge rather than quantitative data with a systematic approach to effectively identify and choose Research and Development (R&D) partners. It is advantageous to identify and select potential R&D partners using a Problem & Solution (P&S) pattern. This paper presents a novel process for identifying R&D partners on the basis of solution similarities that assist technology managers in understanding the relationships between research targets. First, we choose a thematic dataset that contains problems and quantitative data with relative topic terms. Then, we extract Subject-Action-Object semantic structures in a P&S pattern from the dataset, and identify various solutions to a technical problem, with each as a subject. In addition, we provide correlation mapping to visualise the text characters and identify R&D partners. Finally, we validate the proposed method through a case study of the dye-sensitized solar cells sector. 相似文献
Roadmapping serves both short and long term (strategic) alignment in science and technology (S&T). Forecasts of the likely future development of S&T are generated; then research and development (R&D) efforts necessary to realize various goals are backcast. But for new and emerging S&T this trusted principle does not work: the likely products are not articulated yet. A promising approach however is building mapping tools based on underlying patterns and indicators of the dynamics of emergence. This paper discusses, based on a first round application in the field of micro and nanotechnologies for single cell analysis, the methodology of such a new approach. The work is linked to a programme of Future oriented Technology Assessment (FTA) activities coordinated within a European nanotechnology research network.
Our paper addresses well-known lacunae of alignment tools from the viewpoints of the path creation/dependency literatures. We then apply these insights to lab-on-a-chip devices for cell analysis. Dynamics of emerging paths can be used to articulate a future structured in terms of prospective innovation chains and potential paradigms. We demonstrate a plausible variety of paths, which provides a broader set of strategic choices. This enables management of expectations and hype by which emerging S&T are characterised, and leads to alignment of actors. Our tool can be applied in strategic management of research and R&D at the level of science-to-industry networks. These are becoming an important element in European S&T policy but will only be successful if ways are found for closing gaps in the innovation chain. 相似文献
Group Support Systems (GSS) technology, extensively applied in decision-making contexts, is now seeing increased application in the educational sector. Previous work has suggested that GSS applications can have significant positive effects on both the process and the outcome of collaborative learning. This study extends this work to examine the effects of process (high/low) and content (high/low) facilitation restrictiveness on GSS-supported collaborative learning. Our results indicate that content facilitation restrictiveness has no significant bearing on student learning. Process facilitation restrictiveness, on the other hand, is more influential, with knowledge acquisition by students requiring a low restrictive environment. 相似文献