Information Sustainability in a Digital Learning Environment: An Application of Technology Acceptance Model

Abstract

Examining The main objective of the study is to examine the impact of digital learning environment on the information sustainability among higher education institutions. Meanwhile the study has also examined the impact of technology acceptance model namely perceived usefulness, perceived enjoyment, perceived ease of use, computer self-efficacy, and computer anxiety on the digital learning environment on the information sustainability among higher education institutions. Lastly, the study has examined the mediating role of digital learning environment in the relationship between the perceived usefulness, perceived enjoyment, and perceived ease of use, computer self-efficacy, and computer anxiety information sustainability among higher education institutions. This study uses a quantitative methodology to explore the perspectives of employees in Thailand's industrial, commercial, and service sectors on their working conditions. Purposive sampling was used to select 500 students from various universities. Structural Equation Modeling (SEM) was used to analyze the data, verify model accuracy, and assess scale dependability. SEM's ability to validate, refine, and test hypotheses allows for in-depth analyses of variable interplay. SEM is a confirmatory statistical method used to investigate structural theories, aiming to gain a more comprehensive understanding of causal processes impacting multiple variables. This study explores Learner Satisfaction in a Digital Environment (LSDE) and the role of information systems. Factors like computer self-efficacy, anxiety, enjoyment, ease of use, and usefulness influence satisfaction. The study highlights the importance of user-centric factors in creating a successful learning experience in digital environments, extending existing literature and highlighting the practicality of theories like Bandura's self-efficacy and the Technology Acceptance Model.