A context-aware framework for CSCW applications in enterprise environments

Future pervasive environments will take into consideration physical and digital social relationships. Nowadays it is important to use collective intelligence, where the interpretation of context information can be harnessed as input for context-aware applications, especially for group collaboration. For collaborative applications this represents opportunities, but also new challenges in terms of using collective information for adaptability and personalization in pervasive environments. This paper presents the challenges in design and development of a context-aware framework CSCW supporting pro-behaviour capabilities in pervasive communities

Managing and facilitating knowledge creation in collaborative settings

Knowledge creation is of high importance for organizations that are characterized with knowledge-intense work to reach and sustain organizational advantage. However, sharing and managing codified, externalized knowledge for further development within groups has shown to be cumbersome and challenging. Within this proposition paper we suggest a model based on the seeding – evolutionary growth – reseeding model which is adapted for collaborative work settings and describes the development of knowledge assets. We argue that knowledge management can benefit and further increase team performance when the appropriate time for management intervention can be predicted. For this purpose parameters, determining the development of explicated knowledge, need to be applied so that knowledge artifacts but also reoccurring collaboration processes ready for combination can be detected. By combining existing knowledge assets new knowledge can be created which can be “re”-seeded within the same or another similar collaborative setting