Towards integrating quality in theoretical models of acceptance: An extended proposed model applied to e-learning services

The use of e-learning services is growing in different contexts, especially in the COVID-19 pandemic. This study aims to examine students' acceptance of and intention to use Learning Management Systems (LMSs) for university education in Brazil using the extended technology acceptance model, unified theory of acceptance and use of technology (UTAUT), integrating quality construct adapted from the Service Quality Evaluation Model (ServQual). Examining a large sample (n = 1237) of students in Brazil through questionnaires, we investigate the behaviour of the users concerning the factors that influence the technology acceptance and the intention of the use in an e-learning system. Results show that intention to use an LMS is affected by the facilitating conditions (skilful, workable and easy to use), social influence (remarkable, preference for use and relevance), habit (routine, enjoyable and entertaining) and quality (reliable, tangibility, responsiveness and assurance), but not for effort expectancy (agility, knowledge and productivity). Our research findings suggest fostering replicate the model in different universities and countries understanding potential differences. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

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.

"I Feel Like I Am Teaching Myself” - An Exploratory Study of the Factors and Implications of Online Learning

Higher education institutions had to adapt to a new normal quickly brought about by the Covid-19 pandemic. This research set out to explore the factors impacting the adoption of online learning by students and the implications of these factors on future learning. An online survey was conducted and analysed using quantitative and qualitative methods, guided by an extended technology acceptance model. The research was necessary as online learning is anticipated to continue to be used for education by higher education institutions. The findings showed the benefits of learning flexibility of online learning. However, social isolation resulted in low motivation and perception of lowering the quality of education. The research concludes that students need reassurance that they are getting an adequate education through structured learning materials and processes with timely lecturer support. Students need access to peers and must be encouraged to engage. Furthermore, students need to find their optimal learning spaces because, as life-long learners, they need to teach themselves effectively. © 2022, Springer Nature Switzerland AG.

The Antecedents of Customer Intention to Use Mobile Health: An Application of Extended Technology Acceptance Model

The recent development of information technology has changed how individuals access services via online public transportation, e-marketplace, e-commerce, as well as ehealthcare. As the COVID-19 pandemic forces the customers to minimize contact with the service providers, they begin to use e-healthcare for their daily needs, medical consultations, online medicine purchases, even COVID-19 test appointments can be arranged using this application. The purpose of this study is to examine the main drivers of customer intention to use mobile health. The study applies the Extended Technology Acceptance Model. The study also adds external variables that are affecting customer's intention to use were added to the model. The data was collected through online surveys, consisting of two hundred respondents of mobile health users. The data was analyzed using structural equation models, the result shows that customer's intention to use e-healthcare application is heavily influenced by perceived usefulness and perceived ease of use, as well as subjective norm, health consciousness, and communication effectiveness. Furthermore, this study also offers tangible recommendations of improvement for current mobile healthcare companies. © 2021 IEEE.