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The study's objective was to address the factors impacting the employability attributes of fresh graduates in the Kingdom of Bahrain while considering the various challenges. This study used a quantitative approach which employed the questionnaire tool, and data were collected by using a convenience sampling method. The study sample comprised n = 385 respondents from different industries, including manufacturing, banking and finance, hospitality, healthcare, oil and gas, and real estate sectors of Bahrain. Data gathered from questionnaire were analyzed using Statistical Package for the Social Sciences (SPSS), where descriptive and inferential statistics was used to analyze the data. The results of the study showed for the major Hypothesis 1 that the demographic variables have no significant statistical impact on employment attributes of the new fresh graduates. Moreover, findings suggest that null hypothesis for major Hypothesis 2 has been rejected as applied academic skills and critical thinking skills have no significant impact on employability attribute of fresh graduates in the Kingdom of Bahrain. Null hypothesis for major Hypothesis 3 has been accepted as findings suggest that technology use skills (β ₁ = 0.080), system thinking skills (β ₂ = 0.210), communication skills (β ₃ = 0.402), and information skills (β ₄ = −0.100) which are an antecedent of workplace skills, have significant statistical impact on employability attribute of fresh graduates in Kingdom of Bahrain. Lastly, null hypothesis for major Hypothesis 4 has been accepted as findings suggest that interpersonal skills (β ₅ = 0.229) which are an antecedent of effective relationship have significant statistical impact on employability attribute of fresh graduates in the Kingdom of Bahrain.

This paper aims to reviews Sukuk risk classification schemes based on extending and adapting the risk classification schemes of conventional finance. It is then argued that risk classification schemes based on Sukuk structure provide significant insights into Sukuk risk not obtainable from conventional schemes. This is because Sukuk structure risk classification schemes link Sukuk risk more directly to the fundamental causal factors creating those risks. These links are less evident in conventional risk classification schemes. It is hypothesised that Sukuk structure risk factors will prove to be highly significant in multifactor expected return regressions.

The paper argues that, given the paucity of the empirical data currently available to researchers in Islamic finance, greater care needs to be taken in hypothesis development than is necessary for conventional finance. The limited data available should be used for testing hypotheses and not “wasted” in hypothesis formation. Through a meta-analysis of the existing literature on Sukuk risk, it is hypothesised that Sukuk structure risks will be highly significant in explaining Sukuk returns and returns volatilities in empirical tests.

The main Sukuk structures, debt based, equity based, assets based, agency based and hybrid structures, arise directly from the requirement of Sukuk to conform to the Shariah and to the fundamental ethical principles of Islamic finance and business. Further, Sukuk risk profiles are directly related to Sukuk structures. Thus, Sukuk structure risks are essentially Shariah risks. The paper presents a Sukuk risk classification matrix based on an evaluation of Sukuk structure risks.

The findings on the relation of Sukuk risks to Sukuk structures require corroboration by rigorous empirical tests.

The paper contributes to work on the creation of evidence-based risk management techniques in Islamic finance and to the expansion of ethical financial management.

The paper is one of the early detailed academic studies on the evaluation of risks arising from Sukuk structures.

The purpose of this study is to investigate the main factors that affect liquidity risk in the UAE Islamic banks.

The study examines the annual data of the seven UAE Islamic banks over the period 2008-2014. Random effects panel data model is used to estimate the impact of four bank-specific variables and two macroeconomic ones on the liquidity risk of the UAE Islamic banks via their impact on five alternative liquidity ratios.

The paper finds that bank size has a negative impact on liquidity risk according to two liquidity ratios only, and an insignificant impact according to the other three. Both capital adequacy and London interbank offered rate have significant negative impacts on liquidity risk for three liquidity ratios, and insignificant impacts on two. The effect of credit risk is negative for all adopted ratios, while that of return on assets is negative for one ratio only. Finally, real GDP has a positive effect on two ratios and an insignificant one on the others.

The study provides insights for policymakers and practitioners to choose appropriate liquidity management procedures. It emphasizes that identifying efficient procedures or policies depends on the liquidity ratio that is used as a proxy of liquidity risk and its definition, in addition to the correlation between the liquidity ratio and liquidity risk. The study also provides some guidance to Islamic banks in the UAE concerning the main factors impacting their liquidity, which can eventually enable them to support their liquidity management policies, in a way that would expand their customer base according to profitability aspects, and not only religious ones.

The paper adds to the relatively limited literature on liquidity risk in Islamic banks. It also is the first study that investigates the determinants of liquidity risk facing Islamic banks in the UAE using five alternative liquidity ratios.

Using science mapping analysis approach and co-word analysis, the present study explores and visualizes research fields and thematic evolution of the coronavirus. Based on this method, one can get a picture of the real content of the themes in the mentioned thematic area and identify the main minor and emerging themes.

This study was conducted based on co-word science mapping analysis under a longitudinal study (from 1988 to 2020). The collection of documents in this study was further divided into three subperiods: 1988–1998, 1999–2009 and 2010–2020. In order to perform science mapping analysis based on co-word bibliographic networks, SciMAT was utilized as a bibliometric tool. Moreover, WoS, PubMed and Scopus bibliographic databases were used to download all records.

In this study, strategic diagrams were demonstrated for the coronavirus research for a chronological period to assess the most relevant themes. Each diagram depended on the sum of documents linked to each research topic. In the first period (1988–1998), the most centralizations were on virology and evaluation of coronavirus structure and its structural and nonstructural proteins. In the second period (1999–2009), with due attention to high population density in eastern Asia and the increasing number of people affected with the new generation of coronavirus (named severe acute respiratory syndrome virus or SARS virus), publications have been concentrated on “antiviral activity.” In the third period (2010–2020), there was a tendency to investigate clinical syndromes, and most of the publications and citations were about hot topics like “severe acute respiratory syndrome,” “coronavirus” and “respiratory tract disease.” Scientometric analysis of the field of coronavirus can be regarded as a roadmap for future research and policymaking in this important area.

The originality of this research can be considered in two ways. First, the strategic diagrams of coronavirus are drawn in four thematic areas including motor cluster, basic and transversal cluster, highly developed cluster and emerging and declining cluster. Second, COVID-19 is mentioned as a hot topic of research.

In this paper, the authors review the extant literature on e-learning effectiveness in higher education (HE) to investigate how teachers are affected by the actions that the management of higher education institutions (HEIs) need to take to address the success factors that are critical for e-learning effectiveness. E-learning, in the context of this study, encompasses the delivery of and access to a coordinated collection of learning materials and instructions over an electronic medium using a web server to provide the materials and a web browser to access them.

To address the study's aims the authors employ a narrative literature review methodology. Since the area under review is comprehensive and it entails the examination of several topics, the authors have selected this methodology to ensure thorough coverage, and a narrative literature review approach can provide the required degree of thoroughness as it covers a wide range of topics within the thematic area under review. The authors focus on contemporary scientific studies published between January 2017 and May 2022 on how teachers involved in e-learning are affected by management actions taken to achieve success factors for e-learning effectiveness within the HE sector, after identifying and grouping the success factors identified in prior literature into dimensions that reinforce effectiveness.

The authors of the present study have identified and outlined the most prevalent success factor dimensions by performing a narrative review of the extant literature on the topics of e-learning effectiveness and success factors, and by grouping the various success factors identified into the overarching dimensions presented. These dimensions must also be examined in terms of their relevant importance to the most significant e-learning stakeholder groups. Prior studies have made attempts to obtain relevant stakeholder views on success factors for e-learning, with the student perspective naturally being the most widely covered point of view in terms of e-learning success factors prioritization. More studies are needed that tackle the teachers' perspective as well, since this would enable researchers to determine how teachers view e-learning effectiveness success factors.

The authors also discover that the main success factors in literature are not discussed nearly enough from teachers' perspectives. The authors, therefore, highlight the importance of addressing teachers' perspectives, mainly because this will reinforce teacher acceptance of the e-learning system adopted by an HEI, and the authors also outline future research avenues through which the perception of teachers could be obtained. The authors have identified the technique of knowledge management as a potential method to involve teachers in the decision-making process concerning the management of e-learning more, by taking their views into account and documenting them. The authors have discerned that teachers' acceptance of e-learning would be reinforced by supportive management actions since as a result, teachers see improvements in their technological literacy and pedagogical skills, and this would bring about increased motivation, satisfaction and acceptance of e-learning systems.

The purpose of this research paper is to study the effect of transformational leadership (TL) and job crafting (JC) on nurses’ innovative work behaviors (IWB) while accounting for the mediating effect of psychological empowerment (PsyEmp).

To test the developed hypotheses quantitatively, two statistical methods were used: structural equation modeling via partial least squares and bootstrapping estimation. The survey elicited responses from 270 nurses, but after data screening, only 168 were used. Confirmatory factor analysis was used to establish the distinctness of the variables used in this study.

Findings indicate that there are a positive influence of both TL and JC on PsyEmp. Additionally, the findings show a beneficial effect of PsyEmp as a mediator between TL, JC and IWB.

This study adds to the body of knowledge by demonstrating the effects of nurse TL and JC on nurses’ PsyEmp and IWB. In addition to the role of PsyEmp as a partial mediator in the relationship between TL, JC and IWB. The research novelty resides in the fact that none of these links has before been studied in the context of Iraq.

This research aims to build on the pre-existing corpus of literature through the integration of the technology acceptance model (TAM) and usage habit to more accurately capture the determinants associated with social media addiction among university students. This study seeks to delineate how usage habit and TAM may be used as predictors for addiction potential, as well as provide greater insight into current trends in social media usage across this population demographic.

A cross-sectional research design was employed to investigate the determinants of social media addiction among university students in Malaysia at the onset of their tertiary education. A self-administered survey, adapted from prior studies, was administered to a sample of 217 respondents. The hypotheses on social media addiction were subsequently tested using a partial least squares structural equation modeling (PLS-SEM) approach.

Usage habit was found to be a direct and strong predictor of this type of addiction, as well as all TAM variables considered in the research. Additionally, by integrating TAM with usage habit, the study revealed a comprehensive and multi-faceted understanding of social media addiction, providing an important insight into its complexity in the Malaysian context. Although several other factors have been identified as potential contributors to social media reliance and addictive behavior, it appears that usage habit is paramount in driving these addictive tendencies among university students.

This expanded model holds significant implications for the development of interventions and policies that aim to mitigate the adverse effects of social media addiction on students' educational and psychological well-being. The study illustrates the applicability of the TAM in examining addictive behaviors within emerging contexts such as the Malaysian higher education sector, thus contributing to the extant literature on the subject.

The integrated TAM and habit model is an effective predictor of social media addiction among young adults in developing countries like Malaysia. This highlights the importance of actively monitoring and controlling users' interactions with technology and media platforms, while promoting responsible usage habits. Educators can use these findings to create tailored educational programs to educate students on how to use technology responsibly and reduce their risk of becoming addicted to social media.

This study provides a unique perspective on social media addiction among university students. The combination of TAM and usage habit has the potential to shed significant light on how variables such as perceived usefulness (PU) and perceived ease of use (PEOU) may be associated with addictive behaviors. Additionally, by considering usage habit as an explanatory factor, this research offers a novel approach to understanding how addictions form over time.