Social Media Acceptance and e-Learning Post-Covid-19: New factors determine the extension of TAM

The key objective of our study involves devising a conceptual model for estimation of social media acceptance by students for effectively accomplishing their educational and academic goals. Factors e.g., perceived social capital, social influence, and perceived mobility that associated with student acceptance of social media were investigated, and integrated into the TAM model using the PLS-SEM. Data were collected through online survey (461 students) at UAE universities. The findings revealed that mentioned factors positively affected students' intention to use social media during their learning process. Respondents' behavioral intention were also linked to both the core and external constructs of the TAM. Important practical insights on technology acceptance in education were provided. © 2022 IEEE.

Adoption of Cashless Transactions by MSME Sector of India

This study explored MSME's knowledge, usage, and preference of different Digital Technologies in business. This study will further reveal the preference of registered small business units between cash and cashless transaction. The researcher adopted the primary data collection method for this study. The owners/managers of the registered small business units were directly questioned. The data is collected from the Karkardooma complex area situated in the national capital of India i.e., Delhi. The information was gathered between December 2020 and February 2021. The findings of the study reveal that awareness among small business units about different digital payments and their advantages is high, but adoption is low. The result of the study indicates that the original TAM model i.e., perceived ease of use and perceived usefulness along with other factors i.e., subjective norm and selfefficiency has a significant impact on the behavioral intention of MSMEs. Further, demonetization and COVID-19 have forced many small businesses to opt for Cashless transactions but still, they prefer cash.

Antecedences of continued blended learning adoption intentions: A framework for acceptance of blended distance learning

Some organizations face significant shifts in their teaching settings and emerging teaching developments, and new technology-driven practices. Today's students are raised in a technologically advanced environment, unlike their predecessors. Higher education institutions must find innovative ways to serve diverse instructional requirements, learning stages, methodologies, and preferences. Many students and educators were exposed to online education during the Covid-19 pandemic and started to adapt to new behavior for the new-normal blended learning. The authors suggest a model for assessing the effectiveness of blended learning programs in higher education institutions in this paper. The model was implemented and tested on Kuwait University students.

Ease of use and perceived usefulness and its influence on motivation, collaboration and behavioral intention in university students in times of Covid-19

The purpose of this study was to test the relationship of influence of ease of use and perceived usefulness on motivation, collaboration, and behavioral intention in university students in times of Covid-19. The methodology used for the study corresponds to a non-experimental investigation, a questionnaire was applied to a convenience sample of 530 university students (n=19;α=0.944 ω=0.946), using Factor Exploratory and Confirmatory Analysis as tests of validity and reliability, through the Modeling of Structural Equations of Partial Least Squares PLS-SEM. The results have shown that there is a positive effect of causality of perceived ease of use on student collaboration, student motivation and perceived usefulness;in the same way, there exists a causal relationship between the perceived usefulness and the student's collaboration, the intention of the behavior and the student's motivation. Contrarily, there would not be an influence relationship between perceived ease of use on behavioral intention in university students in a context of Covid-19. © 2022 IEEE.

Artificial Neural Network Modeling of Users' Behavioral Intention to Adopt M-Government Services

M-government services have gained popularity recently, especially during the Covid-19 pandemic and advancements in mobile technology. However, providing the full range of government services on mobile devices is still in the early stages. Moreover, improving and expanding capacity and providing services requires understanding the factors influencing users' behavioral intentions to adopt this technology. This study investigates factors that directly affect the intention to use mobile government services by employing the technology acceptance model and two external factors, trust and social influence in Bahrain by utilizing artificial neural networks and structural equation modeling. Results indicate that the perceived usefulness and trust factors influence users' behavioral intention to use m-government services, followed by perceived usefulness and social influence. The results of the investigated model provide insights to various stakeholders, including the government and developers, to encompass additional security measures and awareness programs among users to achieve higher levels of mobile services usage. © 2022 IEEE.

Acceptance Analysis on Online Health Application During COVID-19 Pandemic in Jakarta Using TAM

Online health applications have been popular in Indonesia since there are many people who must stay in their house to do self-isolation. Researchers want to analyze how the public accepts this information system technology in their daily lives using the TAM model. Some of the variables tested on this study are user's perceived ease of use, perceived usefulness, attitude towards using, behavioral intention and actual use of the application. By doing quantitative research on this topic researchers got 105 respondents on the questionnaire distribution and the data was analyzed and processed using smartPLS software. As a result of this study is that online health applications are accepted well by the users, also all hypotheses proposed are significant and accepted. © 2022 IEEE.

Digital transformation in higher education from online learning perspective: A comparative study of Singapore and Vietnam

Digital transformation has been inevitable in all socio-economic fields, including higher education. Recently, under the burden of the COVID-19 pandemic, many universities have to change their entire teaching systems to online learning to ensure their students' learning is not interrupted. Thus, it is essential to study how universities' students, educators, and administrators perceive online learning in different countries. To this aim, this study investigates the factors affecting university members' preference for online learning in Singapore and Vietnam. Using a cross-country sample with a sound theoretical framework of the Technology Acceptance Model (TAM), we found that each member group in the university was influenced by a different weight of factors. Specifically, students' preference for online learning is most affected by their technical skills. Meanwhile, educators and administrators are influenced mainly by the perceived usefulness of online learning and practice conditions, respectively. We further conducted multi-group testing and confirmed the certain separation in online learning preferences of observed objects between the two countries. Overall, this paper enriches the literature on online education, and has important implications for educational policymakers and university stakeholders both during and after the pandemic.

How perceived utilitarian and hedonic value influence online impulse shopping in India? Moderating role of perceived trust and perceived risk

Purpose The study aims to explore the impact of perceived utilitarian and hedonic value (PHV) on shopper attitude and impulsive online purchasing using the technology acceptance model's moderating role of perceived trust and risk. Design/methodology/approach Convenience sampling was used to collect primary data from 408 Indian online shoppers, and structural equation modeling was used to analyze the data. Findings The results indicated that cognitive absorption improved perceived usefulness (PU) and ease of use. Similarly, perceived ease of use influenced PU and PHV significantly. PU influenced utilitarian value positively. Perceived hedonic and utilitarian values significantly influenced attitude, and shoppers' online buying attitudes strongly impacted impulsive online shopping. Finally, the trust had shown to substantially moderate shoppers' attitudes toward impulsive online buying, whereas perceived risk had no such effect. Practical implications This research reveals a high degree of hedonic and utilitarian values, as well as low-risk features that might improve consumer attitudes about online impulsive behavior. Originality/value This research will aid e-retailers in building new strategies and plans to increase sales volume and strengthen relationships with online customers via the provision of trust and security throughout the purchase process.

Antecedences of Continued Blended Learning Adoption Intentions: A Framework for Acceptance of Blended Distance Learning. A Framework for Acceptance of Blended Distance Learning

Some organizations face significant shifts in their teaching settings and emerging teaching developments, and new technology-driven practices. Today's students are raised in a technologically advanced environment, unlike their predecessors. Higher education institutions must find innovative ways to serve diverse instructional requirements, learning stages, methodologies, and preferences. Many students and educators were exposed to online education during the Covid-19 pandemic and started to adapt to new behavior for the new-normal blended learning. The authors suggest a model for assessing the effectiveness of blended learning programs in higher education institutions in this paper. The model was implemented and tested on Kuwait University students. © 2022 University of Kuwait. All rights reserved.

The Continuous Intention to E-learning System Adoption of Students in the Covid-19 Pandemic: The combination of TAM and TTF theory

In the Covid-19 pandemic, many students must study at home utilizing an E-learning system because of social alienation. The goal of this study is to analyze students' continued motivation to use the E-learning system during the Covid-19 pandemic using the Technology Acceptance Model (TAM) and the Theory of Task-Technology Fit (TTF). Both qualitative and quantitative methodologies were employed in this work. The qualitative approach's goal is to confirm and adopt the scale. In contrast, a quantitative study seeks to determine if students in the Covid-19 pandemic have a strong desire to use the E-learning system students will continue to utilize E-learning in the future, according to the research. They will continue to adopt E-learning due to its social influence, usefulness, and ease of use. Based on the findings, the research suggested numerous suggestions to enhance and promote E-learning for Vietnamese universities to further the development of Vietnamese education. © 2022 IEEE.

Social Media Technologies Used for Education: An Empirical Study on TAM Model During the COVID-19 Pandemic

The study's major goal was to figure out what factors impact university students' behavior and intentions to use social media to boost their academic performance during the COVID-19 Pandemic. Given the context-dependent nature of online learning, the Technology Acceptance Model (TAM) was adopted and supplemented with components largely relevant to harnessing social media for collaborative learning and engagement. Collaborative learning, student participation, and a social media mindset are just a few of the new features. The enlarged model was validated using empirical data from an online survey questionnaire filled by a sample of 409 Saudi Arabia higher education students, which assesses students' social media usage intentions and academic performance during the COVID-19 Pandemic. AMOS-SEM was used to analyze the model's various assumptions (Analysis of Moment Structures- Structural Equation Modeling). The findings revealed that: (1) utilizing social media for collaborative learning and student engagement has a direct positive impact on perceived usefulness, ease of use, and enjoyment;(2) perceived usefulness, ease of use, and enjoyment has a direct positive impact on attitude to use social media;and (3) the link between TAM characteristics "usefulness, ease of use, and pleasure" and behavior intention to use social media is mediated by attitude to use social media. (4) Students' attitudes and behavior intentions on social media have a direct positive influence on their academic performance during the COVID-19 Pandemic. Academics, higher education institutions, and educational technology application providers will benefit greatly from the conclusions of this study, both theoretically and practically.

Investigating University Students' Acceptance of Blended Learning during COVID-19 Pandemic

More and more instructors have begun using blended learning to overcome the challenges encountered during the covid-19 pandemic. However, still not much known about influential factors in students' acceptance of such hybrid learning systems. For this purpose, a framework that includes key attributes such as;information quality and system quality, system interactivity, user satisfaction, perceived usefulness, perceived ease of use, and blended learning system use was developed. Pearson correlations were used to analyze data from 700 respondents. Findings revealed that, while there exist no significant relationships among system quality-user satisfaction and user satisfaction-use for blended learning and relatively weak, positive relations exist among perceived ease of use-use for blended learning. In addition to a low, positive relationship between perceived usefulness and use for blended learning, moderate positive correlations exist among system interactivity-user satisfaction and perceived ease of use-perceived usefulness. Finally, high positive correlations exist among information quality-user satisfaction, user satisfaction-perceived usefulness, and user satisfaction-perceived ease of use. Information quality is important in students' satisfaction when using the blended systems. This also affects the perceived ease of use and perceived usefulness of the system. The decision-makers and institutions benefit from this study by considering only the factors leading to a successful implementation of blended learning. (C) 2021 INT TRANS J ENG MANAG SCI TECH.

Using Structural Equation Modeling to Assess Online Learning Systems' Educational Sustainability for University Students

The purpose of this study was to investigate the factors that influence the use of e-learning among students in higher education during the Corona Virus disease, during the 2019 season (COVID-19). A poll of 395 students from the student's university was used to conduct the research. The study's theoretical foundation was an expanded Technology Acceptance Model (TAM), which included task-technology fit and students' engagement, as well as external elements such as experience (EXP), technology anxiety (TEA), and facilitating conditions (FC). The suggested model was tested and evaluated using SEM-PLS. The investigation demonstrated that the suggested TAM-based scale effectively describes factors impacting students' use of E-learning during the pandemic. According to the findings, students' engagement (SEN), EXP, TEA, and FC have a favorable impact on task-technology fit (TTF) and perceived ease of use (PEOU), resulting in a good impact on TTF and usage of an e-learning system for educational sustainability (EA). Finally, the TTF fit and convenience of use of eLearning in education have a positive impact on the behavioral intention to use an e-learning system for educational sustainability and the adoption process. As a result, higher education institutions should use eLearning as a sustainability learning strategy.

Readiness for digital transformation of higher education in the Covid-19 context: The dataset of Vietnam's students.

With the development of digital technology, Vietnam's education has been undergoing significant changes. This is considered one of the eight important fields of the National Digital Transformation, so it needs to take advantage of opportunities to be able to train high-quality human resources according to international standards. Beside, the Covid-19 pandemic has quickly put pressure on the previously predicted trends in education such as the "Future University". This paper shows the data of an investigation on the factors affecting the readiness of Vietnamese students for digital transformation in the above context. The data is built based on the TAM model and sociological investigation method to collect multidimensional information from many perspectives of different individuals to have a basis for assessing the level of influence. The survey includes the main questions corresponding to the independent variables in the model: Self-study ability, Attitude, Perceived Usefulness, Perceived Ease of Use, and Covid-19. The authors distributed the questionnaire online and collected 913 valid responses.

Dataset on the Acceptance of e-learning System among Universities Students' under the COVID-19 Pandemic Conditions.

The COVID-19 pandemic has produced an unprecedented change in the educational system worldwide. Besides the economic and social impacts, there is a dilemma of accepting the new educational system "e-learning" by students within educational institutions. In particular, universities students have to handle several kinds of environmental, electronic and mental struggles due to COVID-19. To catch the current circumstances of more than two hundred thousand Jordanian university student during COVID-19. The students have been randomly selected to respond on an online survey using universities' portals and websites between March and April 2020. At the end of the data gathering process, we have received 587 records. The dataset includes 1) Demographics of students; 2) students' perspectives concerning the factors influencing their intention to use e-learning system within the Jordanian universities context. Data were analyzed using Partial Least Squares - Structural Equation Modelling (PLS-SEM). Next, the result has confirmed the positive of direct effect variables (subjective norm, perceived ease of use, and perceived usefulness) on the students' intention to use e-learning system. Next, the result has also confirmed the mediating effect of perceived usefulness and perceived ease of use between subjective norm and the behavioral intention to use the e-learning system with partially supported.