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

页码：1033 / 1037

页数：5

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