文章基本信息

标题：Assessing the Knowledge Sharing in Terms of Risk Level In-House Service Sector Assisted with Logistic Regression Model
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作者：Seyfi Top ; Seyfi Top
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2012
卷号：58
页码：802-811
DOI：10.1016/j.sbspro.2012.09.1058
语种：English
出版社：Elsevier
摘要：AbstractThere is an increasing emphasis on the importance of knowledge sharing for organizational performance and effectiveness both private and public sectors thorough the dimension of globalization. Knowledge sharing activities creates opportunities for business and organizations to gain sustainable competitive advantage in the market place. The aim of this study is to analysed and examined effectiveness of knowledge sharing in service sector from the side of employee's perceptions. Logistic regression model is applied in this study. Before the factors that affecting in-house knowledge sharing has been identified, after then these factors have been ranked according to their risk levels. The highest risk in knowledge sharing in-house has been found the role of top management which ranked according to the level of risk. The second highest risk in knowledge sharing in-house has been seen on the technological infrastructure and information systems of knowledge sharing. Third place risk in knowledge sharing in-house has been seen on trust and relationships between employees and managers. Fourth degree of risk in knowledge sharing in-house has been found the nature of knowledge and comprehension of the strategic importance of knowledge. The lowest risk in knowledge sharing in-house has been found on intrinsic motivation.
关键词：Knowledge Sharing;Risk Level;Service Sector