Affiliation:
1. BOC Group, Austria
2. University of Vienna, Austria
Abstract
When analysing the transformation of the information society an industrialisation of knowledge work can be observed. The maturity, the quality, the process-orientation and the alignment of knowledge to personal or organisational requirements are industrialisation aspects covered by knowledge work. This chapter focuses on process-orientation, discusses the evolution of process-oriented knowledge management and sees the current industrialisation of knowledge work as a challenge that needs to be tackled not only on social and technical level but also on a conceptual level. Hence the so-called knowledge conveyer belt approach is introduced that is a realisation framework of process-oriented and service based knowledge management. This approach is seen as an answer for the requirements of industrialisation of knowledge work that keeps the “human in the loop” and enables the business and knowledge alignment. The realisation concepts and two implementation show cases are introduced.
Reference62 articles.
1. Abecker, A., Mentzas, G., Legal, M., Ntioudis, S., & Papavassiliou, G. (2001). Business Process Oriented Delivery of Knowledge through Domain Ontologies. In Proceedings of DEXA conference, Munich.
2. Akkiraju, R., et al. (2005). Web-Service Semantics - WSDL-S, W3C Member Submission, 7 November 2005. Retrieved March 12, 2009 from http://www.w3.org/Submission/WSDL-S
3. The Current State of the Knowledge Management;T.Beckman;Knowledge Management Handbook,1999
4. Beco, S., Cantalupo, B., Giammarino, L., Matskanis, N., & Surridge, M. (2005). OWL-WS: A Workflow Ontology for Dynamic Grid Service Composition. First International Conference on e-Science and Grid Computing (e-Science'05).(pp. 148-155) http://doi.ieeecomputersociety.org/10.1109/E-SCIENCE.2005.64
5. Beco, S., Cantalupo, B., & Terracina, A. (2006). The Role of Workflow in Next Generation Business Oriented Grids: Two Different Approaches Leading to a Unified Vision. In Second IEEE International Conference on e-Science and Grid Computing (e-Science'06) (p. 38). http://doi.ieeecomputersociety.org/10.1109/E-SCIENCE.2006.139