Knowledge Management Implementation: Analytic Hierarchy Process Methodology

被引：0
|
作者：
Kant, R. [1 ]
Anand, A. [2 ]
Patel, D. P. [1 ]
Singh, M. D. [2 ]
机构：
[1] Sardar Vallabhbhai Natl Inst Technol, Dept Mech Engn, Surat, India
[2] Motilal Nehru Natl Inst Technol, Dept Mech Engn, Allahabad, Uttar Pradesh, India
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM) | 2011年
关键词：
Analytical hierarchical process; priority weights; knowledge management; KM; KMVs; CRITICAL SUCCESS FACTORS; INDUSTRY; AHP; PERFORMANCE; INNOVATION; ENABLERS; VIEW;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The aim of this paper is to understand of Knowledge Management variables (KMVs) and to identify priority weights. It uses analytic hierarchy process ( AHP) methodology to prioritize KMVs for supporting the knowledge management ( KM) implementation in organizations. These KMVs are selected form the literature reviews and expert discussion. The pair wise comparisons of KMVs ( usually, alternatives and attributes) can be established using a scale indicating the strength with which one KMV dominates another with respect to a higher-level KMV. This scaling process can then be translated into priority weights. The AHP can be a useful guide in the decision making process of KM implementation. It has been observed KMV 1 has high priority weights.
引用
收藏
页码：1033 / 1037
页数：5
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