Knowledge Management System Adoption in American University

Description

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Abstract

KMS are IT systems that manage the knowledge of organizations, these systems aid organizations generate new knowledge, record, utilize and allocate knowledge.

This study examines the adoption of knowledge management systems at the American University of Nigeria. Centred on the UTAUT2 theory, this study puts forth a framework and then investigates its constructs to explain individual’s behavioural intentions to adopt knowledge management system.

This work also examines the moderating effects of individualism/Collectivism at individual level on knowledge management system adoption.

Data was gathered from staff and faculty of the American University of Nigeria using an online questionnaire.

The collected data was analyzed using SPSS to perform an exploratory factor analysis AMOS was then used to test the model fit and the proposed hypothesis by conducting a confirmatory factor analysis test.

Introduction

“Knowledge is power” it is an indispensable asset to individuals and organisations. Proper management of knowledge by organisations and institutions has led to increased efficiency of business processes of such organisations (Alavi & Leidner, 2001; Becerra-Fernandez & Sabherwal, 2010).

Knowledge management simply means performing necessary tasks to make the most of the available resources in an organisation (Anak, 2014), while Knowledge management systems (KMS) are the information technology that aid the management of these resources (Dehghani & Ramsin, 2015).

Knowledge management does not only imply the management of resources but the applying, capturing and sharing of these knowledge resources (S. Lee, Gon Kim, & Kim, 2012).

With the help of KMS, the overall goal of organisations is to efficiently manage their knowledge resource in order for new knowledge to be created (Gulnaz & Tatiana, 2014).

To do this, understanding the difference between data, information and Knowledge is crucial. Also, knowing the right knowledge or knowledge resources to manage is key (Alavi & Leidner, 2001).

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