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The purpose of this paper is to investigate the effects of national culture on the acceptance, and online interaction, of management education and training online using Hall's cultural classifications and Hofstede's cultural framework. Potential differences in perceptions of personal innovativeness and levels of online management education acceptance were examined.

Factor analysis, structural modeling techniques and independent sample t‐statistics were used to analyze samples collected from online management classes in the USA and Korea.

Results suggest that high‐context and collectivism cultures are more conservative to the adoption of online management education and training and participation in online interaction. A second interesting finding is evidence of the significant difference of adoption likelihood of learning innovation and changes. It was clear that a nation's culture directly affects the manner in which participants engage, relate and benefit from online management education/training.

These insights may help multinational companies predict adoption of online management education and the appropriateness of online training across regional differences so as to formulate more effective online management education and training strategies by accommodating their cultural influences.

This paper, employing the model integrated from Theory of Planned Behaviour (TPB) and Technology Acceptance (TAM), will examine factors affecting Vietnamese students' acceptance behaviour towards online learning. The research aims at finding out the motivating factors and measuring their influence on students' intention to accept digital transformation in learning. Based on the results, the authors propose some valuable suggestions to encourage acceptance of online learning behaviour, to enhance and apply digital transformation to higher education in Vietnam, especially in the Covid-19 pandemic, when most of the schools all over the world were forced to close.

The research team used 913 responds' non-convenient probability sampling method, focusing on students currently studying at undergraduate education institutions across the country, studying different training majors, in different academic years. With the questionnaire designed through qualitative research, a preliminary quantitative study with 53 responses has been conducted. Based on the results, the authors completed the questionnaire then conducted a formal quantitative survey. Cronbach alpha, EFA, CFA and SEM have been used to explore the meanings of data collected.

The results from analysing 913 undergraduates reveal that Attitude (influenced by Perceived Usefulness and Perceived Ease of Use), IT Ability and Self-study Ability impact the intention of accepting online learning at the beginning and digital transformation in the future. Meanwhile, Subjective Norm and Financial Ability do not have any role in fostering the intent of accepting new studying mode among Vietnamese students because of IR4.0 and the low expense for online learning. Research findings are the premise for the authors to provide suggestions for students, institutions on enhancing their digital transformation process through their changing behaviours in the relationship with other stakeholders surrounding the learning process of students.

The authors found that previous studies only focused on one or two factors according to the TAM or TPB model; or have not clarified all the stages in the process of changing learning methods behaviour. Therefore, this study combined both models to analyse in more detail the above process as well as exploit new influencing factors to complete the research scale. The main limitation of this study was that the sample has been taken in 2020 when the Covid-19 pandemic is forcing all students to online learning, even they are willing or not.

The research is conducted in the context of Covid-19 outspread, the society has inevitably transitioned to digital transformation, especially with the education sector. Based on the results of analysing the changing process among students from accepting online learning to their intention to change the learning behaviour, the authors proposed some recommendations for universities that build the landscape for study; for lecturers – the most important factor in connecting the students to the working world with knowledge and skills; and especially for students, who need to have actively in receiving knowledge and self-study in the era of IR4.0.

This study adds to the existing literature related to solutions to motivate intention to accept online learning in higher education institutions. With online learning gradually being adopted around the world, the study examined the factors driving the intention to study online in emerging countries. In particular, the study focuses specifically on the case of Vietnam. This result from this study can serve as a guide for higher education institutions as a premise to develop future research directions. It may be useful for studies at higher education institutions in emerging countries similar to Vietnam; in-depth research into research subjects at higher education institutions; or study countries with cultures, customs and habits equivalent to Vietnam, etc. Finally, we are certain that the material presented in this manuscript will not infringe any statutory copyright and that the manuscript will not be submitted elsewhere while being reviewed by the Journal of Applied Research in Higher Education assessment.

This study aims to assess the acceptability of online classes among university students of Pakistan through the extension of the unified theory of acceptance and use of technology (UTAUT) model.

This study follows a quantitative research approach and data were collected from 662 university students of 10 different universities of Pakistan through a self-administrative Web survey. Structural equation modeling through SmartPLS was used to analyze the data.

Findings of the research show that performance expectancy, effort expectancy, social influence and facilitating conditions play a significant role in developing the intention to adopt online classes. Furthermore, facilitating conditions and intention to adopt online classes have further resulted in frequent use behavior. The authors also investigated the moderating role effect of active learning in relationship behavioral intention and use behavior. Findings show that active learning is an important component of online classes that interacts with the behavioral intention to develop the behavior of attending the online mode of learning by students. However, no significant moderation of uncertainty was found in the relationship between four components of acceptance of technology and behavioral intention to adopt the technology.

The authors have extended the UTUAT model by establishing the relationship between facilitating conditions and behavioral intention that supports e-learning. Furthermore, this study tests the moderating role of uncertainty and active learning on the UTUAT model.

This chapter applies science mapping analysis (SciMat) and literature review as research methods to examine literature about higher education institutions (HEIs) during the Covid-19 pandemic. User acceptance, satisfaction, and perception are identified as the most productive research themes in the sample of 561 Web of Science (WoS) indexed articles about HEIs during the pandemic. The literature review of the top themes reveals that user acceptance is influenced by the perceived usefulness of online learning and ease of using online tools. The level of satisfaction among students in online learning is relatively high and linked with the perceived benefits of online courses. Conditions influencing user acceptance and perceived satisfaction differ between students and lecturers. Technology-related themes appeared to be relatively under-researched as standalone themes, but technological aspects turned out to be important components of the most prolific research themes identified.

The purpose of this study is to predict the intention to continue online learning post the coronavirus disease 2019 (COVID-19) pandemic among students in the two largest universities of higher learning in Botswana. Furthermore, the purposes of this study are to elucidate the nexus between performance expectancy and continuance intention to establish the effects of efforts expectancy on continuance intention to investigate the relationship between social influence and continuance intention to determine the relationship between facilitating conditions and continuance intention and to examine the relationship between satisfaction and continuance intention using the extended unified theory of acceptance and usage technology (UTAUT) model postulated by Venkatesh et al. (2003).

The study is based on the descriptive research design, using a structured questionnaire to collect quantitative data from 509 undergraduate and postgraduate students at Botswana's two major Universities using convenience sampling strategy. An online survey was used to gather primary data due to the COVID-19 pandemic. The study employed correlation and regression analysis in testing the five hypothesized relationships.

Using the extended theory of UTAUT as a theoretical lens, the study found that: performance expectancy, social influence and satisfaction predict continuance intention of online learning services. These factors have shown to be good predictors of intention in previous research. Expectancy effort had no influence on intention.

The current study covered on only university students from two tertiary institutions; therefore, results cannot safely be generalized to the student population in the country. Therefore, future research should consider enlisting more universities to be more representative, focusing on lecturers, which is an important group in fostering online teaching that could have a spill-over effect on the students' continued online learning.

Implications for online technology selection: These findings suggest that although most universities temporarily adopted online teaching as an emergency solution, students appear to have felt that the outcomes delivered by the system improved their performance. This implies that academic institutions need to consider adjusting the curriculum to promote online learning in the future, whether there is pandemic or no pandemic. Implications for teaching and learning: First, the concept of social influence suggests that lecturers can make use of online chat discussion boards and rooms to foster student collaboration and a sense of community. Second, and finally online service providers should foster a close relationship with students to understand their expectations and extend the performance of their applications to satisfy their users.

This study contributes to literature on online learning during the COVID-19 pandemic period by including satisfaction and continuance intention to the original UTAUT model thus extending the practical value of the model. This study extends knowledge on the factors that determine continuance intention by incorporating satisfaction in addition to the four factors of the traditional UTAUT. The study provides evidence for the predominance of satisfaction over the four traditional factors in predicting intention to continue online learning among students.

The study aims to model the factors influencing online learning adoption by Indian students as well as examine the mediating effect of attitude on the proposed relationships.

A survey was conducted online using a well-structured questionnaire. The target respondents of the study were students of undergraduate and postgraduate courses in India. Structural equation modeling was employed on a final sample of 402 respondents to test the proposed hypotheses.

The results reveal that there is a significant impact of the perceived usefulness, perceived ease of use, social influence, peer influence and self-esteem on attitude toward online learning. Further, attitude significantly mediates the impact of these factors on intention to adopt online learning.

The study is one of the initial attempts in the backdrop of the pandemic to examine the mediating role of attitude in affecting intention to adopt online learning by university students in India.

This study aims to identify the most significant factors that influence acceptance of e-learning in India. As e-learning has gained popularity in the wake of the COVID-19 pandemic and continues to be one of the most sustainable methods of education, it is pertinent to examine learners' perception towards its acceptance. There is limited literature available on this subject in India, especially factoring in impact of the pandemic.

This study empirically analyses data of 331 adult e-learners in India, who have enrolled for one of the following e-learning formats: higher education, private coaching, test preparation, re-skilling and online certifications, corporate training and hobby and language-related learning. Their perception is examined on the basis of a model developed using the Unified Theory of Acceptance and Use of Technology model. Data are analysed through structural equation modelling using SPSS and AMOS statistical tools.

The result of the study shows that Infrastructure Dependability, Effectiveness of Design and Content of Courses and Student's Competency with Computers are the top three factors impacting e-learning acceptance in India.

This study makes several theoretical contributions. Additionally, research findings and recommendations will facilitate education providers, corporates in the education industry and policymakers to focus on the significant areas for enhancing the acceptance of e-learning.

This study identifies and confirms important factors that influence e-learning acceptance and suggests opportunities for further in-depth research and analysis.

The impact of the COVID-19 pandemic provides the scope to conduct online classes in the university teaching methods. This study aims to investigate the impact of technology self-efficacy on students' behavioral intention on the effectiveness of online learning.

This study was conducted with 323 university students using the online survey platform. Data analysis was acquired by implementing the partial least squares technique to obtain the results.

The findings revealed that the COVID-19 pandemic affects technology self-efficacy. Technology self-efficacy has a significance on perceived usefulness (PU) and ease of use, which influences students' behavioral intention to use online learning effectively. The results identified that user innovativeness facilitated the relationship between PU and behavioral intention to use online learning efficiency.

This study has a significant insight into the higher educational institutes and academia that lessons from the impact of the COVID-19 pandemic on technology self-efficacy toward online learning effectiveness.

This study aims to study the adoption of online learning in higher education through the perspective of the readiness of the following factors: self-directed learning (SDL), motivation for learning (ML), online communication self-efficacy (OCE) and learner control (LC). This was an empirical study in the context of developing countries, specifically Thailand.

This research applied a quantitative study method by collecting data from 605 higher education students in autonomous government institutions. The data analysis applied a structural equation model (SEM) to identify the significant determinants that affected the adoption of online learning. Moreover, this study applied a neural network model to examine the findings from the SEM.

From the data analysis using the SEM and neural network model, the results matched each other. The results of the empirical study were firm and supported that the readiness factors of students had statistical significance in the following order: SDL, OCE, LC and ML.

The study results showed an operational perspective to be prepared for online teaching, both for the related department of the Ministry of Education to support the infrastructure for online learning and for universities and instructors to create learning conditions and design teaching processes consistently with the online learning context.

Since the learning management in the 21st century is focused on student-centred learning, the empirical results obtained from this study presented the view of learners’ readiness that would influence the acceptance of online learning. In addition, this research presented the challenges and opportunities of online instruction during the COVID-19 pandemic.

This paper aims to investigate the factors that affect the acceptance of distance learning systems by university academic staff and students in Jordan. To achieve this objective, it has been proposed to examine the distance learning experience of Jordanian Higher Education Institutions (HEIs) after the universities institution suspended face-to-face (traditional) courses delivery owing to novel Coronavirus’ (COVID-19) fears.

This study expands upon unified theory of acceptance and use of technology 2 by incorporating contextual variables such as trust (TR), autonomy (AUT) and compatibility (CMP). Data collection has been carried out through an online survey, which targeted participants at public and private universities during the crisis time of coronavirus. Structural equation modelling has been used to validate the proposed research model.

The outcomes revealed that performance expectancy, facilitating conditions, TR and AUT were the significant predictors of distance learning acceptance in both samples. By identifying the factors affecting the acceptance of distance learning systems, it will be more useful to offer better services of distance learning. This will also help to demonstrate that distance learning will be capable of delivering the educational aims of HEIs to areas where a pandemic outbreak in the Middle East.

Distance learning provides university students with quality education, engaging platforms and most significantly a safe teaching environment. The results and implications to both practice and theory are described.