The exploration factors of affecting knowledge sharing - The case of Taiwan's high-tech industry
In the past, the studies on knowledge sharing tended to be focused on the organization and few paid attention to the departments inside the organization. In this study, valid samples were collected from Taiwan's 92 IC related firms in the high-tech industry through the Hierarchical Random Sampling method for empirical analysis. The non-linear fuzzy neural network is used due to its capacity in accepting errors and low limitation. This method enables researchers to accurately assess the relations between variables. The result of this study indicated that the degree of formalization and complexity of the organizational structure is negatively and significantly correlated with knowledge sharing. Similarly, motivation through material reward correlates positively and significantly with knowledge sharing with stronger intensity than that between motivation through non-material reward and knowledge sharing. The degree of integration between organizations correlates positively and significantly with knowledge sharing. (c) 2007 Elsevier Ltd. All rights reserved.
knowledge sharing organizational structure characteristics motivation method relational involvement