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This systematic review aims to assess the studies collected by identifying factors influencing the acceptance of e-learning systems before and during the current propagation of the COVID-19 pandemic.

This study undertook a literature review on the in-depth revision of studies published before 2021. The reviewed research papers meet the inclusion and exclusion criteria. A total of 97 out of 214 articles met the inclusion criteria and were subsequently used in this review.

The findings revealed that the survey questionnaire is the most common data collection instrument used regardless of the research objectives. 2019 was a remarkable year because of the emergence of the COVID-19 pandemic.

This systematic review relied on specific databases (ScienceDirect, Emerald, IEEE and Google Scholar) to search for the articles included in this paper. However, these databases may not comprehensively represent all papers published on e-learning using the technology acceptance model (TAM).

This 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. This research spotlights the significant factors influencing the acceptance and adoption of e-learning.

This research assessed articles that examined the TAM in e-learning and classified them according to their methodology, country of dissemination, context and distribution within the year of publication. This paper contributes to the body of knowledge in a way that will benefit stakeholders in an educational setting.

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.

This research examined the factors affecting several types of student engagement, namely agentic, behavioral, emotional and cognitive engagement. Specifically, it examined the effect of e-learning system usability on student engagement and explored teacher behavior's possible intervening impact on this relationship.

Data were collected from 418 students studying at different specializations at Omani private academic institutions. This study employed a quantitative methodology and utilized the Smart-PLS for data analyses.

The findings showed that e-learning system usability influenced significantly and positively agentic, behavioral and cognitive engagement. However, the link between e-learning system usability and emotional engagement was not significant. Moreover, teacher behavior mediated the relationship between e-learning system usability and the four types of engagement.

This study improves one’s understanding of how the interaction of e-learning system usability and teacher behavior affects several aspects of student engagement. It also helps higher education administrators and policymakers by exploring the influential effects of e-learning systems usability and teacher behavior on facilitating students' engagement.

This research explores the effect of e-learning Moodle-based system usability on students' learning outcomes with the possible intervening role of teacher's behavior and online engagement.

In this research, the authors followed a quantitative methodology and a deductive research approach. Data were collected from 433 students at different study levels and academic specializations in higher education institutions (HEIs) in Oman. The data have been analyzed using partial least squares structural equation modeling via Smart-PLS.

The findings of this research show that e-learning system usability affects students' learning outcomes. Moreover, the relationship between these two variables is mediated by teacher behavior and students' online engagement.

This study is important as it adds to the understanding of the role of e-learning system usability in predicting student outcomes. From practical perspectives, especially during the spread of the COVID-19 pandemic, this study also helps practitioners at private HEIs use e-learning systems more efficiently and effectively to improve students' engagement and learning outcomes.

The aim of this paper is to evaluate the effect of surface treatment on slurry erosion behavior of AISI 5,117 steel using artificial neural network (ANN) technique.

The slurry erosion wear behavior of electroless nickel-phosphorus (Ni-P) coated, carburized and untreated AISI 5,117 alloy steel was investigated experimentally and theoretically using ANN technique based on error back propagation learning algorithm.

From the obtained results, it can be concluded that the proposed AAN model can be successfully used for evaluating slurry erosion behavior of the Ni-P coated, carburized and untreated AISI 5,117 steel for wide range of operating conditions and Ni-P coating and carburizing improve the slurry erosion resistance of AISI 5,117 steel; however, the coating is more efficient.

Slurry erosion is a serious problem for the performance, reliability and service life of engineering components used in many industrial applications. To improve the performance of these components, engineering surface technologies have been attracting a great deal of attention. The extent of slurry erosion is dependent on a wide range of variables. To account all variables that effect on erosion behavior, prediction of erosion behavior by soft computational technique is one of the most important requirements. ANN has the ability to tackle the problem of complex relationships among variables that cannot be accomplished by traditional analytical methods.

This paper aims to investigate the performance and working fluids screening for an ejector refrigeration cycle (ERC) activated by solar energy. Several common and new hydrofluorocarbons, hydrocarbons, hydrofluoroolefins and hydrofluoroethers are proposed as refrigerants for the ERC to determine the most appropriate one.

The ejector performance is characterized by the ejector area ratio (EAR) and entrainment ratio (ω), while the cycle performance is described by the coefficient of performance (COP). The influences of many working parameters like the evaporator, condenser and generator temperatures on the ejector and cycle performances are investigated for all candidates as well.

The results indicate that the best ejector and cycle performances are attained with the highest critical temperature dry refrigerant, i.e. R601 under all studied working conditions. From the perspective of energy efficiency and environmental issues, R601 can be considered the most appropriate working fluid amongst all candidates. However, extra attention should be considered against its flammability. The maximum COP, the corresponding ω and the necessary EAR using R601 are 0.743, 1.02 and 15.5, respectively, with 25 ºC condenser temperature and the typical values for the rest operating conditions.

Many common and new hydrofluorocarbons, hydrocarbons, hydrofluoroolefins and hydrofluoroethers are suggested as working fluids for the ERC to determine the most appropriate one. The mixing process inside the ejector constant-area section is assumed constant-pressure process.

This study aims to present a detailed investigation of Shariah audit research based on a systematic literature review.

A total of 53 studies were collected from the Scopus and Web of Science databases following a systematic methodology. These studies were analyzed and evaluated based on the theoretical perspective, geographical distribution, research settings and themes background.

The findings indicate an increase in the literature on Shariah auditing over time, especially in the Malaysian context, with a dearth of research in other contexts and institutions (Takaful). It has been also revealed that the existing literature is still unclear about the effectiveness and consequences of effective Shariah auditing, pointing the need for more work on these areas. The authors outline opportunities for future Shariah auditing research.

The synthesized findings are helpful for policymakers and managers to understand better how research in Shariah auditing is developing and how to translate research findings into practice. To the best of the authors’ knowledge, this is the first research to comprehensively synthesize the literature on this topic and identify the potential opportunities for future research directions.

This study aims to explore the impact of capital structure (CS), including total debts, short-term debt, long-term debt and total shareholder equity, on environmental, social and governance (ESG) performance in the context of Jordan.

To achieve the study’s objectives, the authors used the content analysis approach and the longitudinal data generated from the annual reports of 51 industrial companies listed on the Amman Stock Exchange for the period 2012–2020.

The findings show that debt financing enhances ESG performance in all dimensions, while financing by equity did not affect ESG. Consequently, Jordanian companies’ managers are trying to reduce agency costs by investing in ESG activities. In addition, companies are focusing on debt financing instead of equity to achieve their financial as well as nonfinancial goals. This is because the opportunism of new shareholders will likely lead to a focus on maximizing their value at the expense of the broader group of stakeholders, and this will adversely affect companies’ ESG performance. Therefore, debt financing limits shareholder control.

To the best of the authors’ knowledge, this is the first examination of the impact of CS financing choices on ESG performance. Thus, this study has important implications for the decisions of executives, policymakers, shareholders and lenders, as it enables them to better understand the linkage between CS and ESG.

This study aims to empirically examine the impact of perceived risks, optimism and financial literacy on trust and the perceived value of cryptocurrencies. It will also examine the impact of trust on the perceived value of cryptocurrencies.

A quantitative approach is followed. A questionnaire was designed to collect data from 308 respondents in Jordan. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) method was used to evaluate the research model and test hypotheses.

The results of PLS algorithm analysis showed that perceived risks negatively impact the optimism and trust in cryptocurrencies. This study revealed that while financial literacy minimizes the perceived risks, it serves to enhance optimism and improve the perception of the value of cryptocurrencies. Furthermore, the findings of this study show that optimism plays a significant role in trust and perceived value.

This study provides new insights into the literature on cryptocurrencies adoption, blockchain theory, the theory of trust in financial systems, the role of the optimism factor and the perception of the value of cryptocurrencies. It also provides important practical implications for different stakeholders.

The purpose of this paper is to investigate the determinants of users' intention to continue to invest in cryptocurrencies. The paper also aims to examine the impact of hedonic motivation and the legal environment on perceived value in cryptocurrencies.

A questionnaire was designed to obtain data from 258 respondents in UAE. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) was used to evaluate the research model and test the hypotheses.

The results of smart PLS path analysis showed that perceived value, hedonic motivation, gambling attitude, and price volatility were significant determinants of the continued intention to invest in cryptocurrency. This study also revealed that hedonic motivation enhances perceived value and improves the perception of cryptocurrencies value from user's perspective.

This study provides new insights into the literature on cryptocurrencies adoption, and delivers advanced understanding about the determinants of user's intention to continue investing in cryptocurrencies. In addition, the study provides important practical implications for cryptocurrencies companies to promote this financial technology to users by enhancing the knowledge of policy makers about how investors think and get motivated towards a continued investment of cryptocurrencies.