System Characteristics in Predicting E-Learning Acceptance: An Extended Technology Acceptance Model (TAM) Study

Learning habits among students in higher institution, has radically changed over the last two decades, partially due to the features of the information and digital society, wide scale broadband internet access, proliferation of smart devices and consequently, available online mobile applications. Thus, in higher education, e-learning systems are essential, and the COVID-19 pandemic era has seen an increase in popularity of e-learning. Thus, it is critical to establish the extent to which students in higher education adopt e-learning. This paper focuses at developing a framework for e-learning technologies through the Technology Acceptance Model (TAM) by incorporating system characteristics as its' extended variable, which consists of three main constructs: system quality, content quality and information quality among university students in Malaysia. Regarding the system characteristics, the findings suggested that all three components that make up system characteristics had a significant positive influence on students' perceived ease of use of the e-learning system, whereas only system quality and information quality had a significant positive impact on students' perceived usefulness of the e-learning system. With respect to TAM, all relationships were found to be significant. © 2022 IEEE.

Predicting the Acceptance of Cloud Computing in Higher Education Institutions by Extending the Technology Readiness Theory

The COVID-19 outbreak has impacted almost every facet of life, including education. Technology has almost entirely replaced conventional face-to-face teaching and learning environment. This public health calamity has hastened the digitisation of education, which was previously only provided without a repellent component. Cloud computing is widely used in education, notably higher education, to provide online access and share teaching resources, educational information, notes, lectures, and academic assessments. But, while observing technology's grandeur, are people prepared to accept an avalanche of information resources and open online access via cloud-based services? Thus, this study investigated users' readiness and acceptability of cloud computing in Higher Education Institutions (HEIs). Using the Structural Equation Modelling analysis, this study surveyed 470 individuals from Malaysian HEIs using the Technology Acceptance Model and Technology Readiness Index models. Perceived Ease of Use and Perceived Usefulness is positively relevant in understanding why a user chooses cloud computing. The environment of the learning process and the security factors are positive predictors of cloud computing use intention. Optimism and Innovativeness have been demonstrated to impact technology acceptance factors substantially. On the other hand, Discomfort and Insecurity do not affect technology acceptance, except for Insecurity, which negatively affects Perceived Usefulness. This research adds to the growing knowledge about technology readiness and acceptance, especially after a pandemic hits the world. © 2022. All Rights Reserved.

Assessing the Acceptance of E-Learning via Technology Acceptance Model (TAM)

The unprecedented challenge from the COVID-19 has disrupted the education sector across the globe. Most countries with access to the technology, including Malaysia, have been using an online approach that includes e-learning as an alternative to replacing face-to-face teaching and learning. E-learning implementation during the pandemic is anticipated to minimize the interruptions towards the educational system. This paper investigates students' acceptance of e-learning by employ the Technology Acceptance Model (TAM), and the questionnaire was distributed to the students from the higher learning institution. A total of 457 respondents has been collected, and the data has been analysed using Partial Least Squares-Structural Equation Modelling (PLS-SEM). This study developed five hypotheses in which all hypotheses are supported with significant results. The results indicate that Perceived Ease of Use, Perceived Usefulness, and Attitude significantly influence students' acceptance towards e-learning. This study validates that the TAM model is still relevant to explaining the technology's acceptance from the higher learning institution perspective. It is expected that the outcome of this study can improve existing knowledge regarding the student's acceptance of e-learning and provide useful insight into the current situation in the higher learning institution.

The Moderating Effect of Food Safety Knowledge on Organic Food Purchase Intention in a New Normal

The emergence of a 'new normal' life caused by pandemic Coronavirus Disease (COVID-19) leads to consumer perception and business practices changes. However, there is limited data on the current market demand and condition on consumer purchase intention of organic food associated with food safety knowledge. Thus, this study aimed to examine consumer perception toward organic food in a new normal life. A total of 330 valid responses were received for analysis using Structural Equation Modelling (SEM) and PROCESS. The data were collected in Malaysia using an online questionnaire mainly because of physical distances and Movement Control Order (MCO). The finding revealed that personal attitude, perceived social pressure, and perceived autonomy influence organic food purchase intention in a new normal life. However, it is not perceived as green trust. Besides, food safety knowledge significantly moderates the relationship between personal attitudes toward organic food purchase intention. The finding is valuable for current producers, marketers, and the government body to understand the changes in consumer purchase intention in a new normal life and assist future planning and operationalising to protect, develop and maintain the organic food industry.