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This study aims to propose and validate a model for e-Learning success based on students’ experiences in the “new normal.” To achieve this goal, this study focused on answering three research questions: (1) What are the students’ experiential factors that impact e-Learning? (2) How do these experiential factors affect e-Learning success? (3) In what ways does a multimethod provide a comprehensive perspective and an in-depth understanding of students’ e-Learning experiences in the new normal?

This study applied a mixed-methods sequential approach using exploratory, confirmatory and complementary studies. First, this study undertook a text-mining exploratory analysis of the review data to extract e-Learning topics. Then, based on the Information Systems (IS) success model, this study identified an integrated framework drawn from the results of the text-mining analysis. Second, this study proposed an e-Learning, experience-based success model and corresponding hypotheses and conducted a confirmatory study with surveys to validate the model. Third, this study conducted in-depth interviews to better identify the phenomenon of interest.

The five factors extracted from the first stage are system quality, lecture content, teaching quality, online interaction and achievement. This study subsequently confirmed the significant relationships between the e-Learning success factors in the second stage based on the IS success model. Finally, a complementary study identified the importance of interactivity for e-Learning success in the new normal.

To the best of the authors’ knowledge, this paper is the first to develop an e-Learning success model using a comprehensive mixed-methods approach.

The purpose of this paper is to examine factors that predict students’ continued usage intention of web-based learning management systems (LMS) in Tanzania, with a specific focus on the School of Business of Mzumbe University. Specifically, the study investigated major predictors of actual usage and continued usage intentions of e-learning system, and challenges of using the e-learning system.

Data were collected through a questionnaire survey of 300 third year undergraduate students, with a rate of return of 77 per cent. A total of 20 faculty members were also interviewed. The unified theory of acceptance and use of technology (UTAUT) was utilized in the study.

The results show that actual usage was determined by self-efficacy, while continued usage intentions of web-based learning system was predicted by performance expectancy, effort expectancy, social influence, self-efficacy, and actual usage. Challenges for using web-based LMS were related to information and communications technology (ICT) infrastructure barrier, LMS user interface was not user friendly, weak ICT policies, management and technical support, limited skills, lack of awareness, resistance to change, and lack of time to prepare e-content and use the e-learning system.

The study findings are useful to e-learning managers and university management to identify important factors and develop appropriate policies and strategies to encourage long-term usage of e-learning systems for future studies and lifelong learning.

By using UTAUT in the context of continued usage intentions and the integration of an additional construct (“self-efficacy”), the extended UTAUT model fits very well in the web-based learning systems in Tanzania, in particular where such studies are scant. The findings can be used in other institutions with similar conditions in investigating the continued usage intentions of e-learning systems.

This paper aims to provide a methodological road for the next generation of e‐learning environments.

This paper considers a survey of recent publications (1995‐2002), which aim to provide practical and theoretical indications and advice, which are coupled with practical experimentations.

The paper provides road‐mapping elements, indicating the impact on services and systems to be expected by this design approach.

The survey is based on a selection of sources and it is not exhaustive. The methodology experiments that are used for argumentation are based on the authors’ platform.

The paper presents a useful source of knowledge for researchers and advanced students.

This paper identifies a road for advanced e‐learning systems, and can help researchers and those in industry who desire to introduce and understand the design methodological context of advanced e‐learning systems.

This study's purposes were to longitudinally examine how interactivity factors as the antecedents to learner beliefs affected learners' intention to use the e-learning system and explore whether the effects on learners' usage intention of the e-learning system would change over time with increasing learners' usage experience of the system.

This study gathered sample data from students at a comprehensive university in Taiwan. The sample data were collected in a two-stage survey and were analyzed by using the longitudinal methodology. A total of 252 students agreed to participate in this study, and 225 students effectively participated in both data collections, with a usable response rate of 89.29 percent. Data were analyzed by using structural equation modelling and multiple group analysis.

Interactivity factors (controllability, responsiveness, two-way communication, and personalization) indirectly affected students' intention to use the e-learning system via the extrinsic motivators (perceived usefulness (PU) and perceived ease of use (PEOU)) and intrinsic motivator (perceived enjoyment (PE)). Besides, students' experience in using the e-learning system moderated the effects of PU, PEOU, and PE on intention to use the system.

Based on the extended technology acceptance model, the empirical evidence on capturing both extrinsic and intrinsic motivators for completely explaining interactivity antecedents of learners' e-learning acceptance is well documented in this study. Besides, it should be noted that this study contributes significantly to the body of research on evaluating whether the effects of learners' beliefs on their usage intention of the e-learning system may change over time with increasing experience in using the system.

The purpose of this study is to investigate the influences of system and instructor factors on e‐learning effectiveness under the interactions of computer self‐efficacy. In this study, the factors of the e‐learning system are functionality, interaction, and response. The factors of the e‐learning instructor are attitude, technical skills, and instructional method. The moderating effects of learners' computer self‐efficacy are examined.

The study surveyed general employees in the financial services industry in Taiwan. A questionnaire was developed to measure participants' perceptions. Four hundred questionnaires were sent out, and 362 were returned. Of these, 314 were valid, leading to a return rate of 78.5 percent.

The results of data analysis indicate that both system and instructor factors have significant positive influences on e‐learning effectiveness. Learners' computer self‐efficacy has a moderating effect on the relationship between system functionality and training effectiveness. The higher the computer self‐efficacy, the stronger is the relationship between functionality and effectiveness, and vice versa. However, computer self‐efficacy does not have a significant moderating effect on the relationship between other independent variables and training effectiveness.

Since both system and instructor factors have positive influences on e‐learning effectiveness, HRD managers need to pay more attention to issues in both areas. High computer self‐efficacy can result in better training effectiveness; therefore, it is necessary to pay attention to enhancing employee computer skills and their confidence in using e‐learning.

The purpose of this paper is to propose a hybrid model based on the expectation-confirmation model (ECM), flow theory, and updated DeLone and McLean information system (IS) success model to examine whether quality factors as the antecedents to nurse beliefs affected nurses’ intention to continue using the blended electronic learning (e-learning) system.

Sample data for this study were collected from nurses at five hospitals in Taiwan. A total of 500 questionnaires were distributed, 396 (79.2 percent) questionnaires were returned. Consequently, 378 usable questionnaires were analyzed in this study, with a usable response rate of 75.6 percent. Collected data were analyzed using structural equation modeling.

Information quality, system quality, support service quality, and instructor quality contribute significantly to perceived usefulness (PU), confirmation, and flow, which together explain nurses’ satisfaction with the usage of the blended e-learning system, and this in turn leads to their continued system usage intention.

First, the application of the ECM with the view of updated DeLone and McLean IS success model reveals deep insights into quality evaluation (including information quality, system quality, and support service quality) in the field of nurses’ e-learning continuance intention. Especially, this study additionally contributes to the identification of instructor quality that may lead to nurses’ continued blended e-learning usage intention. Next, the empirical evidence on capturing both extrinsic motivator (i.e. PU) and intrinsic motivator (i.e. flow) for completely explaining quality antecedents of nurses’ blended e-learning continuance intention is well documented.

The purpose of this study is to explore the relationships of web quality (system quality, information quality, and service quality), perceived value, and satisfaction to understand how these critical factors influence the continuance intention of using e‐learning systems in academic libraries.

The study data come from a convenience sample of 302 undergraduate and graduate students who were 18 to 25 years old. A structural equation modelling (SEM) technique was conducted to identify causal relationships.

The findings demonstrate that web quality has significantly positive influences on perceived value and user satisfaction. Furthermore, perceived value and satisfaction determines users' continuance intentions of e‐learning systems in academic libraries.

This study addresses self‐reported continuance intentions as part of the survey; as a result, it could have introduced inaccuracies. The implications of proposed e‐learning success model are discussed.

Academic librarians should reinforce the efficiency of e‐learning systems to influence users' willingness to continuously use such systems.

This paper highlights the determinants of continuance intentions of e‐learning systems in digital libraries and educates researchers, librarians, and system developers about how e‐learning systems are perceived by end‐users in digital libraries.

The effect of e-learning success relies on the learning management system and its effectiveness provided to the learners. As a result, higher education institutions (HEIs) are expanding using various e-learning platforms and focusing on system and information quality. This study adopts the ISS (information system success) model to assess students' perception of e-learning system success (e-LSS).

A quantitative research approach was used to analyse 151 students' perceptions collected from HEIs in Oman. The survey instrument was built on prior research related to DeLone and McLean’s ISS model, and expert opinion was involved for validation. The snowball sampling method was used to collect the data, and participants' anonymity and confidentiality were maintained as part of the ethical process. The reliability of data was tested using Cronbach's alpha analysis. A statistical tool like correlation was used to examine the relationship between the study variables (system quality, information quality, user satisfaction and e-LSS).

This study’s results revealed that students positively perceived system usage, and users' satisfaction with e-learning systems (e-LSs) was high. Moreover, the correlation results indicated that the system and information quality aspects of e-learning significantly influence e-LSS.

The study results on students' perspective towards e-learning information systems can be advantageous to HEIs and various stakeholders like policymakers, and e-learning platforms. It may support and assist the HEIs and corporate firms in deciding on e-learning platforms for students and learners, respectively. Moreover, the consolidated findings will contribute to the existing literature on e-learning success factors from students’ perspectives.

This study examines the students' perception of e-LSS in Oman HEIs and advocates prospects for further in-depth study and analysis.

This paper aims to review the critical challenges and factors influencing the successful adoption of electronic learning (e-learning) systems in higher educational institutions before and during the current propagation of the coronavirus disease 2019 (COVID-19) pandemic.

This study undertook a literature review concerning the in-depth revision of previous studies published in 2020 and 2021. A total of 100 out of 170 selected research papers were adopted to identify and recognise the factors restricting the application of e-learning systems.

The findings determine and illuminate the most challenging factors that impact the successful application of online learning, particularly during the wide propagation of the COVID-19 pandemic. The review of the literature provides evidence that technological, organisational and behavioural issues constitute significant drivers that frontier the facilitation of the e-learning process in higher educational institutions.

The current paper suggests a guide for managers and scholars in educational institutions and acts as a roadmap for practitioners and academics in the educational field and policymakers as this research spotlights the significant factors challenging the e-learning process before and during the pandemic crisis.

The provided in-depth literature review in this research will support the researchers and system designers with a comprehensive review and recent studies conducted before and during the COVID-19 pandemic considering the factors limiting the e-learning process. This paper formulates a valuable contribution to the body of knowledge that will assist the stakeholders in the higher educational institutions' context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0085.

To overcome the spread of the noble coronavirus, the lockdown was imposed on March 25, 2020 by the Government of India which adversely affected the education system in the country and changed the traditional classroom teaching to online teaching. This paper aims to explore the factors encouraging university teachers to use and adopt e-learning systems during the COVID-19 pandemic and to find out the major challenges faced by them in adopting e-learning systems in Odisha, an Indian State.

The population of this study was teachers of different universities in Odisha, India. An online questionnaire was administered to collect data from the teachers of the state who were involved in the e-learning system for taking their online classes during the COVID-19 situation. During the study 610 valid responses were processed for data analysis. The results of the analysis were presented through factor analysis, t-test and structural equation model.

The findings revealed three major factors as user-friendly, convenient and performance encouraged teachers to use and adopt e-learning systems. The results also identified major challenges such as accessibility to the internet, information and communication technologies literacy and skills and technological support, faced by university teachers in adopting e-learning systems.

The findings of the study have suggested that the university authorities can develop an effective e-learning system to support their teachers for the continuance of education and learning opportunities. The insights of this study can help the regulatory authorities of higher education to redesign policy and infrastructure for promoting effective e-learning systems.

Many studies have been conducted in relation to e-learning during COVID-19. However, this is a unique study that identifies supporting factors and addresses the challenges faced by university teachers in adopting an e-learning system.