Frei Otto et René Sarger: entre idéaux d’architecte et vérité d’ingénieur

À travers leurs premiers écrits des années 50 et 60, Frei Otto, architecte et ingénieur allemand (1925-2015), et René Sarger (1917-1988), architecte français, n’expriment pas seulement une passion partagée des toitures suspendues. Partant du même souci d’une forme structurale « juste », leurs convictions radicales révèlent aussi les premiers questionnements des nouveaux rôles de l’ingénieur et de l’architecte de l’époque, mais aussi des idéaux opposés concernant leur position comme concepteurs et auteurs du monde bâti, ainsi que l’importance sociétale de leurs disciplines.

Identifying the knowledge management structures in enterprise systems projects

Enterprise System (ES) implementation and management are knowledge intensive tasks that inevitably draw upon the experience of a wide range of people with diverse knowledge capabilities. Knowledge Management (KM) has been identified as a critical success factor in ES projects. Despite the recognized importance of managing knowledge for ES benefits realization, systematic attempts to conceptualize KM-structures have been few. Where the adequacy of KM-structures is assessed, the process and measures are typically idiosyncratic and lack credibility. Using the ‘KM-process’, itself based in sociology of knowledge, this paper conceptualizes four main constructs to measure the adequacy of KM-structures. The SEM model is tested using 310 responses gathered from 27 ES installations that had implemented SAP R/3. The findings reveal six constructs for KM-structure. Furthermore, the paper demonstrates the application of KM-structures in the context of ES using the Adaptive Structuration Theory. The results demonstrate that having adequate KM-structures in place, while necessary, is not sufficient. These rules and resources must be appropriated to have greater positive influence on the Enterprise System. Furthermore, the study provides empirical support for knowledge-based theory by illustrating the importance of knowledge use/re-use (vs. knowledge creation) as the most important driver in the process of KM.