کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
386836 660892 2008 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The exploration factors of affecting knowledge sharing – The case of Taiwan’s high-tech industry
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
The exploration factors of affecting knowledge sharing – The case of Taiwan’s high-tech industry
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 35, Issue 3, October 2008, Pages 661–676
نویسندگان
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