Abstract
The purpose of this paper is to provide a methodological framework which could support managers in the selection of Knowledge Management Systems. The framework is based on the Analytic Hierarchy Process approach. Several aspects should draw the attention of an organization's upper level of management seeking to implement a Knowledge Management System and many specific issues have to be considered. As such, the framework has been built by making use of an ad-hoc hierarchical structure, where each singular specificity is described and compared, second-order criteria are studied and analysed, and optional decisions are highlighted and evaluated. This methodological framework offers a good applicability to different business contexts, since its hierarchical arrangement suits most of the needs of numerous organizations. Consequently, it can be regarded as a holistic approach able to assist decision makers in their Knowledge Management System selection process.
Highlights
In recent years, Knowledge Management (KM) has become a significant issue both in the relevant literature and in practice
Rapid technological advances and market competitiveness have compelled organizations to improve their strategic capabilities by implementing KMSs
Organizations are strongly recommended to select a KMS characterized by having capabilities ready for modification or change in order to cope with the creation, distribution and management of knowledge and information with the utmost speed
Summary
Knowledge Management (KM) has become a significant issue both in the relevant literature and in practice. It is of the utmost importance to delineate all the necessary business processes as the first step by selecting those KMS criteria which could lead to the successful implementation of the system. For this purpose, strategic considerations by managers have proven to be of the utmost importance in choosing a KMS. The further aim of the paper is to propose a methodological framework, which adopts a multi‐criteria approach, in order to analyse and compare KMSs by making use of pair‐wise comparisons among the criteria that affect the selection process of a suitable KMS.
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