This study uses various external factors to develop an extended model to predict employees' acceptance of electronic document and records management systems (EDRMS) founded on the technology acceptance model (TAM). EDRMS adoption and use are becoming increasingly prevalent among public sector organisations worldwide, including Saint Vincent and the Grenadines (SVG). This study conducted a quantitative research approach through a cross-section design, where data were collected using survey questionnaires distributed using Google Forms. In this study, 122 public sector employees using EDRMS were sampled. Inferential and descriptive statistics were used to analyse this study’s data. The results show that employees' attitudes toward EDRMS positively correlate with behavioural intention (BI) to use. Perceived usefulness and perceived ease of use significantly determine employees' BI towards EDRMS. However, trust, top management support and service quality did not affect employees' perception of usefulness. The study's findings are helpful by providing government department policymakers with a guide on understanding the factors influencing EDRMS adoption and usage in SVG government departments.

Acknowledgements I
Abstract II
Table of Contents II
List of Tables V
List of Figures VI
CHAPTER ONE: INTRODUCTION 1
1.1 Background Statement 1
1.2 Problem Statement 2
1.3 Purpose Statement 3
1.4 Research Gap 3
CHAPTER TWO: LITERATURE REVIEW 5
2.1 Electronic Documents and Records Management System (EDRMS) 5
2.2 Technology Acceptance Model (TAM) 6
2.3 Technology Acceptance Model (TAM) with EDRMS 8
2.4 EDRMS in Government Departments (Public Sector) 9
2.5 Status of TAM & ERDMS in Saint Vincent and the Grenadines 10
2.6 Research Constructs 11
2.7 Hypothesis Development 16
CHAPTER THREE: METHODOLOGY 23
3.1 Research Framework & Hypotheses 23
3.2 Constructs Definitions and Measurement Items 26
3.3 Research Measures and Questionnaire Design 28
3.4 Data Collection 29
3.5 Data Analysis 29
3.6 Common Method Variance 31
CHAPTER FOUR: DATA ANALYSIS 33
4.1 Construct Code 33
4.2 Descriptive Statistics 33
4.3 Common Method Variance 39
4.4 Reliability & Validity Analysis 40
4.5 Multiple Regression by Parts 46
CHAPTER FIVE: CONCLUSION 49
5.1 Research Conclusion 49
5.2 Research Implications 53
5.3 Research Limitation 54
5.4 Future Research 55
References 57
Appendix One: Questionnaire Survey 70
Appendix Two: Constructs Definition Source 74
Appendix Three: Questionnaire Items Source 75
Appendix Four: Common Method Variance–Exploratory Factor Analysis 77
Appendix Five: Reliability Analysis and Convergent Validity 78
Appendix Six: Construct Correlation Matrix 80
Appendix Seven: Multiple Regression by Parts 81

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