Knowledge Management System Adoption in American University of Nigeria

Knowledge Management System Adoption in American University of Nigeria.

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.

The findings of this study showed that performance expectancy, hedonic motivation are important factors that explained individual’s behavioural intention to adopt knowledge management system.

The results from this study also showed the impact of habit and facilitating condition on use behaviour.

The result also showed that the moderating effect of individualism/collectivism at individual level on knowledge management system adoption was significant. Implications and future research works are presented and explained.

Table Of Contents

COVER PAGE…………. i

TITLE PAGE……………….ii

DECLARATION………… iii

CERTIFICATION……………….iv

ACKNOWLEDGEMENT…….v

ABSTRACT………….. vi

Table of Figures…….. xi

List of Tables………..xii

Chapter One

Introduction……..1

  • Background of the Study………. 1
  • Problem Statement……..2
  • Aim and Objectives of the Study………….4
  • Research Question(s)………… 4
  • Scope of the Study…………. 4
  • Thesis Structure………..4
  • Chapter Summary……. 5

Chapter Two

Literature Review………6

  • Introduction……………..6
  • Knowledge and Knowledge Management Concept………..6
  • Knowledge Management Systems (KMS)……………….. 7
  • KMS Adoption in Organisations…………..8
    • KMS Adoption in Higher Education Institutions…………. 9
  • Related Works………………….10
    • Knowledge management system adoption: exploring the effects of empowering leadership, task-technology fit and compatibility……………..10
    • Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach……………..10
    • Adoption of Knowledge Management Systems: A Study on How Wiki Systems Should Be Adopted by Minimizing the Risk of Failure………… 11
    • Examining the adoption of KMS in organizations from an integrated perspective of technology, individual, and organization…….11
    • Employee Acceptance of Knowledge Management Systems in Bangladesh: Integrating UTAUT and KMS diffusion model…… 11
    • Application of a Learning Management System for Knowledge Management: Adoption and Cross‐cultural Factors…. 11
    • The Adoption of Knowledge Management Development System in Nigeria Higher Education……….. 12
    • Student Acceptance of Knowledge Management Systems: Evidence from a Canadian Business School……………12
    • Instructors Adoption and Use of LMS…..12
  • Chapter Summary………. 14

Chapter Three

Research Methodology……..16

  • Introduction……………….. 16
  • Purpose of Research………………16
  • Research Approach……..16
  • Theoretical Backgrounds…………….. 17
    • Unified Theory of Acceptance and Use of Technology (UTAUT)…………………… 18
    • Extended Unified Theory of Acceptance and Use of Technology UTAUT2…….. 19
    • Individualism/Collectivism (IC)…………21
  • Research Hypothesis……………22
    • Performance Expectancy……………..22
    • Effort Expectancy…………23
    • Facilitating Conditions……….23
    • Hedonic Motivation……………..24
    • Habit………………….24
    • Behavioural Intention……… 24
    • Individualism/Collectivism (IC)- The Moderating Variable……25
  • Study Population……………….27
    • Population and Sampling……….. 27
  • Data Collection Method………28
    • Questionnaire………….28
  • Method of Data Analysis…….. 28
    • Criticism of Method…………29
  • Reliability and Validity of Research Instrument…………..29
  • Chapter Summary……………. 29

Chapter Four

Analysis of Data and Findings………………… 31

  • Introduction…………… 31
  • Demographic Characteristics and Descriptive Statistics…………… 31
  • Common Method Variance………………….. 32
  • Measurement Validation………………… 32
    • Pearson Correlation………………….. 32
    • Exploratory Factor Analysis………… 33
    • Reliability………….. 34
  • Model and Hypothesis Test………….. 34
    • Confirmatory Factor Analysis (CFA)…………… 35
  • Chapter Summary…………….. 37

Chapter Five

Discussion and Conclusion………38

  • Discussion 38
  • Identified Factors……………. 38
  • Theoretical Implications………………… 39
  • Practical Implications…………………. 40
  • Conclusion………………. 40
  • Limitations…………………. 40
  • Future Work……………… 41

References…….. 42

Appendix A: Survey questionnaire……….. 54

Appendix B: Measurement Model…………. 61

Appendix C: EFA table showing total variance explained………62

Introduction

Background Of Study

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).

Generally, the knowledge found in organisations needs to be utilized in the processes and services of those organisations, because finding the right kind of knowledge, in the right form would facilitate creativity which leads to maintaining competitive advantage (Bhatt, 2007).

With the constant change in this technological age, one of the best ways for organizations to ensure that they stay above their competitors is to manage their knowledge assets (Basten, Bjoern, & Mahmut, 2015; Mulyono & Kristianto, 2013).

References

Aarts, H., Verplanken, B., & Knippenberg, A. Van. (1998). Predicting Behavior From Actions in the Past : Repeated Decision Making or a Matter of Habit ? Journal of Applied Social Psychology, 28(15), 1355–1374.
Abdel, N. E. B., Waseem, K., Bassam, H., Majd, G., & Mohamad, R. (2015). University Customize Knowledge Management System (KMS). In Digital and Communication Technology and its Applications (DICTAP) (pp. 136–142).
Abdullah, B., Dwivedi, Y., & Williams, M. (2014). Adopting An Extended Utaut2 To Predict Consumer Adoption Of M-Technologies In Saudi Arabia. In UK Academy for Information Systems Conference Proceedings 2014 (pp. 1–25).
Agarwala, T. (2008). Factors influencing career choice of management students in India Factors influencing career choice of management students in India. Career Development Iternational, 13(4), 362–376. https://doi.org/10.1108/13620430810880844
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behaviour and Human Decision Process, 50, 179–211.
Ajzen, I. (2002). Residual Effects of Past on Later Behavior : Habituation and Reasoned Action Perspectives. Personality and Social Psychology Review, 6(2), 107–122.

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