Knowledge management barriers: An interpretive structural modeling approach
Monika Singh, Ravi Kant
Motilal Nehru National Institute of Technology
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摘要与影响
In the fast changing global business, knowledge management (KM) has emerged as an integral part of business strategy. Many business organizations have implemented KM and many are in the process of its implementation. KM implementation is adversely affected by few factors which are known as KM barriers. The objective of this paper is to develop the relationships among the identifiedKMbarriers. Further, this paper is also helpful to understand mutual influences of barriers and to identify those barriers which support other barriers (driving barrier) and also those barriers which are most influenced by other barriers (dependent barriers). The interpretive structural modeling (ISM) methodology is used to evolve mutual relationships among these barriers. KM barriers have been classified, based on their driving power and dependence power. The objective behind this classification is to analyze the driving power and dependence power of these barriers.
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社会科学Knowledge Management and Sharing
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