This study explores technology adoption through the lens of Technology Acceptance Model and Technology-Organization-Environment model in the context of Small and Medium Enterprises (SMEs) operating in the United Arab Emirates. A survey designed research was carried out at UAE SMEs, leading to a sample of 370 establishments that were included in the final analysis. Data was analyzed using partial least squares structure equation modelling technique. The main findings propose that the Computer Self-Efficacy (CSE), Compatibility (COM), significantly affect the adoption of VAT-compliant accounting systems. Further, the possible mediator relationships are partially supported. Implication and limitation of study are also discussed.

The purpose of this study is to measure the role of job stress among the academic staff of the public universities of UAE. A survey was conducted among 350 academic staffs of the public universities across UAE, concerning the trends of job stress and satisfaction and a possible relationship between these two variables. Primary data analysis reveal that the public universities showed different directions for varying forms of job stress. Moreover, five types of stressors were found to be significant for the academic staff at the universities and when they were tested on job stress, the results revealed the significant impact on job stress. More specifically, pay, and growth stressors as well as work-related stressors were found to negatively influence job stress for the academic staff. Future research of time series analysis can be conducted to understand the trends of stress under different situations over time for academic staff.

The aim of this study is to investigate the factors influencing the performance of the industrial small and medium enterprises (SMEs) in Jordan. The factors include financial, management, marketing, technological and government policy and regulations. A qualitative method is employed by adopting a descriptive questionnaire research design. The data of the study are gathered from the employees who work at the industrial SMEs in Jordan. The results show that there were positive and signifi-cant relationships between all mentioned factors and the performance of SMEs, which indicate that when these factors are improved, the performance will also be improved. However, the economic factors have negative effects on the performance of SMEs.

This study investigates the impact of various IT tools on project management efficiency within the public sector, specifically examining the mediating role of team communication quality. The study utilized a quantitative approach, data was collected from 197 public sector organizations across Jordan, Saudi Arabia, and Lebanon. The study employed PLS-SEM to analyze the relationships between project management software, communication platforms, collaboration tools, team communication quality, and project management efficiency. The findings confirm that project management software, communication platforms, and collaboration tools each positively influence project management efficiency. Moreover, the study reveals the crucial mediating role of team communication quality. Specifically, the positive impact of these IT tools on project management efficiency is significantly channeled through their ability to enhance team communication. These findings underscore the importance for public sector organizations to not only invest in diverse IT tools but also to prioritize initiatives that foster effective team communication to maximize project success and overall organizational efficiency.

It is essential to improve the efficiency of hospitals, especially in the situation of Covid-19. Therefore, the primary purpose of this paper was to examine the effect of supply chain connectivity, perceived ease of use, and task technology fit on big data analytics and efficiency. This study assessed the mediating role of big data analytics as well. A survey questionnaire was developed to collect the data. The data was collected from the employees working in the hospitals of the UAE. For this purpose, convenient sampling was adopted. The questionnaire was adapted from past studies. The questionnaire was distributed among 426 employees. The usable response rate was 73.22%. The gathered data was assessed using PLS 3. The study's findings confirmed the direct effect of supply chain connectivity, perceived ease of use, task technology fit on big data analytics, and efficiency. This study also revealed the significant effect of big data analytics on efficiency. Moreover, the mediating role of big data is also confirmed in the present study. This study fills several theoretical and managerial gaps mentioned. The study's findings are helpful for the policymakers and academicians of the health sector.

The success of the business lies in the effectiveness of the supply chain. Therefore, this study examined the effect of trading partner pressure, knowledge sharing, and digital business strategy on blockchain adoption and supply chain effectiveness. The research design was cross-sectional. For the collection of data, a random sampling technique was adopted, and data was collected from employees of banks. The data was collected in the form of questionnaires. The usable response rate of the study was 61.32%. The gathered data was examined through Smart PLS and SPSS. The study's findings revealed that trading partner pressure, knowledge sharing, and digital business strategy play a significant role in the adoption of blockchain technology. Moreover, the adoption of blockchain technology is the key to improving the effectiveness of the supply chain. In the end, findings also confirmed the mediating effect of blockchain effectiveness. The study's findings are helpful for the policymakers of the banking sector.

The UAE diversification strategy of the economy focuses on reducing the dependence of country GDP on oil. As a result, the healthcare sector has significantly transformed from total dependence on government health facilities and support to the involvement of the private sector as an essential partner in covering the health needs of the UAE population. In this emerging competitive market, the leaders of both public and private healthcare sectors work on several strategies to improve the effectiveness and the competitiveness of their organizations. Literature shows that nearly 50% of the hospital's expenses are directed to cover employees' salaries. On the other hands, skilled employees' salaries are increasing day by day. Thus, we believe that hospitals should deal smartly with this debate by ensuring using maximum manpower resources. In this study, we present a nursing project that adopted Fredrick Taylor concepts and used the Time-Driven Activity-Based Costing (TDABC) methodology to calculate costs and compare its outcome to the currently imple-mented Full-Time Equivalent (FTE) system in the outpatient unit at Tawam Hospital. The study findings have confirmed that TDABC can be implemented successfully and make a difference in human resources management of nurses at the unit level. The authors have recommended rolling out the study to inpatient nursing units.

This article discusses the ecological vehicle routing problem with a stop at a refueling station titled Green-Vehicle Routing Problem. In this problem, the refueling stations and the limit of fuel tank capacity are considered for the construction of a tour. We propose a variable neighborhood search to solve the problem. We tested and compared the performance of our algorithm intensively on datasets existing in the literature.

The Pakistani banking sector has shown tremendous growth in the last two decades and witnessed strategic reforms including the implementation of Basel regulations. The objective of this study is to investigate the effect of Basel capital regulations on the various proxies of the financial performance of the Pakistani commercial banks. This study uses three different proxies to assess the effectiveness of the Basel capital regulations on the financial performance of Pakistani commercial banks from 2006 to 2018 and quantifies the effect of different Basel accords on the banking sector of Pakistan using the dynamic panel data estimation technique. In addition, the effect of the Global Financial Crisis (2008) on the financial performance of Pakistani banks has also been evaluated. The results indicate that Basel II and Basel III capital regulations have affected the banks’ profitability differently. Capital regulations of Basel II have increased the performance while capital requirements of Basel III have not affected the financial performance of Pakistani banks, pointing towards the ineffectiveness of Basel III capital regulations. Besides, there has been no change observed in the financial performance of Pakistani banks during the Global Financial Crisis (2008). Overall, the results of the Generalized Method of Moments (GMM) technique show that Basel capital regulations enhance the financial performance of the Pakistani banking sector.

Mobile learning application now is considered a powerful application for learning and was adopted in universities in the period of Covid-19. After Covid-19 pandemic, university students have been allowed to use mobile learning systems, it is needed to ensure students’ intention to continuously use mobile learning for their learning activities or not. Thus, the purpose of this paper is to understand the main determinants that encourage the continuous use of mobile learning. To achieve that, we used the UTAUT-2 model to predict the main determinants of mobile learning acceptance. In our study, a quantitative technique was employed to collect the data. A hybrid approach SEM-ANN was applied to validate the research model. The findings indicated that performance expectancy and effort expectancy had a strong effect on students' attitudes towards mobile learning platforms. In addition, the results showed that performance expectancy and effort expectancy have a significant impact on students' continuous intention to use mobile learning platforms after Covid-19. In addition, hedonic motivation and habit had a positive effect on both students' attitudes and continuous intention to use mobile learning platforms. Moreover, Social influence factor and facilitating conditions had a significant effect on students' continuous intention to use mobile learning platforms after Covid-19.