Knowledge Management Analysis of the Research & Development & Transference Process at HEROs: a Public University Case Jon Landeta Rodríguez (University of the Basque Country (UPV/EHU)-Spain egplaroj@bs.ehu.es) Arturo Rodríguez Castellanos (University of the Basque Country (UPV/EHU)-Spain egprocaa@bs.ehu.es) Stanislav Y. Ranguelov (University of the Basque Country (UPV/EHU)-Spain egdraxxs@bs.ehu.es) Abstract: In Higher Education and Research Organisations (HEROs), one of the most important activities in the R&D process is the effective management of knowledge transference. A correct analysis and diagnosis of that process through knowledge management methodology is essential for the correct orientation of organisation strategy. The aim of this paper is to describe the analysis carried out in order to diagnose the research & development & transference (R&D&T) activities at a public university in Spain. The diagnosis analyses the key phases in the knowledge transference process, because these different stages define important implications for the monitoring of the intellectual capital and the organisation's performance. Also with in the diagnostic analysis preformed here an methodological innovation is introduced related with the cause and effect relations of the knowledge collaboration and a process witch deals mainly with intangibles. Key Words: Knowledge Management at Universities, Research and Development Management, Process Analysis Categories: A.0, A.1, E.1, K.4 1 Introduction In Higher Education and Research Organisations (HRROs), one of the most important activities in the R&D process is the effective management of knowledge transference. In most cases the research results are intangibles assets and they represent an important portion of organization’s intellectual capital [Leitner, 2002]. A correct analysis and diagnosis of that process through knowledge management methodology is essential for the correct orientation of organisation strategy. Recent literature states that some management policies and programmes can drive the performance of intangibles or intellectual capital, and even tries to quantify this relationship [Lev, 2001; Hurwitz et al., 2002]. Although this line of research is very Journal of Universal Computer Science, vol. 10, no. 6 (2004), 702-711 submitted: 26/1/04, accepted: 22/3/04, appeared: 28/6/04  J.UCS