Tudásmenedzsmentet támogató szervezeti megoldások (Knowledge management supported by organizational solutions)

A tudás a vállalatok egyre fontosabb erőforrásává vált, ezért tudatos megoldásokkal kell törekedni a szervezeti tudásban rejlő lehetőségek hatékony kihasználására. A tudás kezelésére irányuló tevékenységeket mind technológiai-informatikai, mind HR-, mind pedig szervezeti megoldásokkal lehet támogatni. Jelen cikkben a vállalatok szervezeti megoldásait elemzi a szerző: rámutat a szervezeti struktúrák, a szervezeti kultúra, a vezetői megközelítések (leadership) szerepére, valamint a kommunikáció különböző formáinak lehetőségeire. ______ Knowledge management activities became important part of knowledge oriented organisations, like software development companies. These activities can be supported by technological and organisational solutions. This paper concentrates on the organisational support factors of knowledge management activities in the software development industries, and examines the role of organisational design, structures, processes, communication and management support, while highlights the challenges.

Measuring centrality by a generalization of degree

Network analysis has emerged as a key technique in communication studies, economics, geography, history and sociology, among others. A fundamental issue is how to identify key nodes in a network, for which purpose a number of centrality measures have been developed. This paper proposes a new parametric family of centrality measures called generalized degree. It is based on the idea that a relationship to a more interconnected node contributes to centrality in a greater extent than a connection to a less central one. Generalized degree improves on degree by redistributing its sum over the network with the consideration of the global structure. Application of the measure is supported by a set of basic properties. A sufficient condition is given for generalized degree to be rank monotonic, excluding counter-intuitive changes in the centrality ranking after certain modifications of the network. The measure has a graph interpretation and can be calculated iteratively. Generalized degree is recommended to apply besides degree since it preserves most favorable attributes of degree, but better reflects the role of the nodes in the network and has an increased ability to distinguish between their importance.