By Luis Berasategi, Joseba Arana, Eduardo Castellano (auth.), Luis M. Camarinha-Matos, Iraklis Paraskakis, Hamideh Afsarmanesh (eds.)
This publication constitutes the refereed lawsuits of the tenth IFIP WG 5.5 operating convention on digital agencies, PRO-VE 2009, held in Thessaloniki, Greece, in October 2009.
The eighty four revised papers have been conscientiously chosen from quite a few submissions.They are prepared in topical sections on co-innovation in collaborative networks; collaboration styles; wishes and practices; collaboration in provide chains; groups and collaboration; VO breeding environments modeling; modeling and coping with potential; wisdom administration in collaboration; companions choice; e-procurement and collaborative procurement; belief and smooth matters in collaboration; methods and selection; administration elements in collaborative networks; functionality administration; agile enterprise types; service-based platforms; formal tools; socio-technical matters in collaboration; collaborative paintings environments; collaborative networks for energetic getting old; and collaborative academic networks.
Read or Download Leveraging Knowledge for Innovation in Collaborative Networks: 10th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2009, Thessaloniki, Greece, October 7-9, 2009. Proceedings PDF
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Extra resources for Leveraging Knowledge for Innovation in Collaborative Networks: 10th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2009, Thessaloniki, Greece, October 7-9, 2009. Proceedings
Use and evaluate applications Fig. 2. Method of Collaborative network analysis (CNRA) Basically the method differentiates three phases: • • • Planning phase: in this phase the stage for cooperation is being set. Configuration phase: In this phase stage-gate model will be build on the basis of collaborative relationships and ICT system will be selected. Usage/Evaluation phase: In this phase the success of the forecasting results will be evaluated. In the following the three sub-phases of the planning phase of the method is briefly described: 1.
ICT-related interactions 1. DS MF MF 2. DS4 VE PE PR MF DS 3. 4. 5. VE= Pre-development PE= product development MF= market research DS= Design PR= Production Fig. 4. Specification of collaboration intensity The collaborative network analysis provides a detailed way to better understand and forecast collaborative relationships. From an application point of view the method focuses on an operational support for innovation project. The results provide a detailed overview about the concept of collaboration intensity on the level of edges between nodes.
Since its first publication by Norton and Kaplan in the early 1990’s, many companies have applied it to measure four key aspects of their organisations’ performance: Financial, Customer, Internal Business Process, Learning and Growth. Although it is widely used in the business arena, this original BSC was not developed to assess the impact of collaborative research projects under an open innovation strategy, where the outputs of research and development (R&D) developed by collaborative projects undertaken by industry and universities should be measured in a different way.
Leveraging Knowledge for Innovation in Collaborative Networks: 10th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2009, Thessaloniki, Greece, October 7-9, 2009. Proceedings by Luis Berasategi, Joseba Arana, Eduardo Castellano (auth.), Luis M. Camarinha-Matos, Iraklis Paraskakis, Hamideh Afsarmanesh (eds.)