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This study aims to investigate students’ satisfaction, self-efficacy and perceived competencies in a ‘technical writing and communication skills’ course after the switch of teaching the course from face to face to fully online during and after COVID-19. The study also measured the Achievement of Accreditation Board for Engineering and Technology course learning outcomes (CLOs).

A descriptive cross-sectional survey design approach was adopted in this study. Students were asked to respond to an online survey after completion of the course to measure the target parameters. The data of 250 respondents, analyzed with IBM SPSS Statistics 28, show high scores on all constructs.

Statistically significant differences among gender, field of study, grade point average (GPA) level, type of school attended and attainment of English proficiency certificate were detected for students in terms of their baseline perceived competencies, achievement of CLOs and self-efficacy scores. In addition, gender, field of study, GPA and holding an international English proficiency certificate had statistically significant effect, whereas the academic level and type of school were insignificant.

First, the data had been collected through survey only. A limitation of this method is that there could be survey fraud. Second, as some respondents found the survey long, their responses might have been less reliable. Moreover, as the survey was entirely conducted online, this may have caused limited sampling, because some respondents are less likely to have internet access/disconnection and respond to online surveys. Furthermore, this research had focused on studying the impact of an online course on university students’ achievement in a Jordanian university, this limits the generalizability of the result to students of other levels and classes, or ones studying in other universities or living in different countries.

Because of its impact on effective teaching and achievement, educators need to pay much attention to self-efficacy when designing new curricula for different environmental contexts. Furthermore, it is apparent that some courses, such as “technical writing” can be taught fully online without affecting students’ performance and achievement. Because educators always look for ways that make teaching effective, they may need to consider online platforms for teaching specific courses, hence save time, effort and resources.

A course on technical writing and communication skills offered to undergraduate engineering and information technology students at Princess Sumaya University for Technology was switched from face to face to fully online modality during the COVID-19 pandemic in the period 2020–2021. The effect of such massive and sudden transformation on students’ achievement and satisfaction called for immediate scrutiny of the prospect and expectancy of online learning.

This study investigates the effects of top management commitment (TMC) and Kaizen on quality management practices (QMP) and how the latter influence the performance of Jordanian public hospitals in the aftermath of COVID-19.

A survey-based questionnaire was employed to collect data from 222 practitioners and professionals working in public hospitals in Jordan. Partial least squares structural equation modeling (PLS-SEM) was undertaken to analyze data.

Significant and positive effects of TMC and Kaizen (continuous improvement) on QMP are highlighted by the results. The findings also show that QMP has a positive and significant impact on public hospitals' performance. Furthermore, the effects of TMC and Kaizen on performance were also found to be significant.

Practitioners and researchers will gain a greater understanding of how implementing QMP can enhance the performance of public hospitals in the context of the COVID-19 outbreak. The results underline the important role of Kaizen and TMC in the success of QMP and their effect on performance. This research is a cross-sectional study, and there is a need to conduct further empirical investigation based on secondary data or objective measurement of performance.

This research is one of the first studies to investigate the effects of QMP on public hospitals' performance following the COVID-19 outbreak. This study is one of the empirical examinations of QMP and Kaizen in developing countries by investigating Jordanian public hospitals.

This paper aims to explore the joint role of forensic accounting and corporate governance in enhancing internal control effectiveness.

The study used a previously administrated questionnaire as a data collection method and partial least squares structural equation modeling as a data analysis tool.

The findings of this paper find a positive relationship between the study’s independent variables (forensic accounting and corporate governance) and dependent variables (internal control effectiveness).

One potential limitation of this study is the use of a previously administered questionnaire as the primary data collection method, which may have limited the scope and depth of the data collected. Another limitation may be the focus on only two independent variables (forensic accounting and corporate governance), which may not fully capture all the factors that contribute to internal control effectiveness. Despite these limitations, this study provides important insights into the role of forensic accounting and corporate governance in enhancing internal control effectiveness and highlights the need for further research in this area.

This paper underscores the importance of investing in effective internal control systems and highlights the key role that forensic accounting and corporate governance play in enhancing the effectiveness of these systems.

Effective internal control systems are important not only for the financial health of organizations but also for their social and ethical responsibilities to stakeholders. The findings of this study suggest that investing in strong forensic accounting and corporate governance practices can help organizations meet these responsibilities and promote trust and transparency. Policymakers and regulators may use these findings to inform their efforts to promote effective internal control systems and enhance public trust in organizations.

This paper has important implications for service organizations in Jordan and can be used to inform policymakers and regulators in their efforts to promote strong and effective internal control systems.

The purpose of this paper is to examine the mediating effect of intellectual capital and innovation on the relationship between transformational and transactional leadership and organizational performance in Jordanian banks located in Irbid city.

A questionnaire that targeted 350 respondents resulted in 298 usable ones with a response rate of 85.14 percent. To test the research hypotheses, a structural equation model was conducted, in addition to descriptive statistics that provided background on the respondents.

The findings indicate that transformational and transactional leadership relate positively to organizational performance. The results also support the argument that intellectual capital and innovation played mediating roles in transformational and transactional leadership and organizational performance.

The present study provides managers with empirical proof that possessing strong intellectual capital in its three dimensions seems to help the banking sector in Jordan to reinforce their ability to generate both radical and incremental innovation. Also, applying an effective leadership style will motivate and lead to superior performance.

Although papers have shown that leadership style is an important factor influencing employees' performance and outcomes, this is one of the few studies that investigates the interrelationships between leadership styles, intellectual capital, and innovation on organization performance. Furthermore, it is the first to test the model on the banking sector in Jordan.

The effect of dynamic capabilities on operational excellence and the moderating effect of environmental dynamism on the relationship between operational excellence and dynamic capabilities in the apparel industry in Sri Lanka were investigated while developing new psychometric scales to assess operational excellence and dynamic capacities constructs.

We followed the exploratory sequential research design with a mixed-method research approach, aligning with the pragmatic research philosophy. Thus, both qualitative and quantitative research methods were followed.

Dynamic capabilities positively affect operational excellence, and environmental dynamism moderates the relationship between operational excellence and dynamic capabilities in the apparel industry in Sri Lanka such that when a higher environmental dynamism exists, a weaker positive relationship exists between dynamic capabilities and operational excellence. The two main dimensions of the operational excellence construct are continuous improvement of sustainable operational performance and sustainable competitive advantages. It empirically confirmed that sensing, seizing and reconfiguring capabilities are the three main dimensions of the dynamic capabilities construct.

This study was limited to the apparel industry in Sri Lanka. This research phenomenon should be explored in other industrial sectors worldwide to generalize the findings. The practitioners in the apparel sector may improve the organizational dynamic capabilities to achieve operational excellence and keep a strong positive relationship between dynamic capabilities and operational excellence in a highly dynamic environment if they address out-of-family situations with out-of-the-box thinking.

We generated two new empirical findings: (1) dynamic capabilities positively affect operational excellence, and (2) environmental dynamism moderates the relationship between dynamic capabilities and operational excellence. Also, we introduced validated new scales for assessing operational excellence and dynamic capabilities.

This paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.

An interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.

The extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.

The decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.

Several constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.

The research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.