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.

Green management and its implementation and practices attracted the attention of both practitioners and academicians alike, which in part is due to its positive impact on the environment and sustainability, however, little is known about what really measures the effect of green management practices on business performance. Conventional measures of financial performance cannot reflect the proposed effect since green management is long-term oriented and not limited to financial performance only. This research explores the potentials of using balanced scorecard to measure the effect of green marketing, green supply chain and green human resources on the performance of the firms. Simple random sampling technique was followed in this research, and data were collected from 113 managers from different companies in service and manufacturing sectors in UAE. The findings indicate that green marketing was the major determinant of customers’ performance, green human resources was the major factor affecting learning and growth, and that green supply chain was the main influencer on financial performance and internal processes.

The goodness of machine-part groups in cellular manufacturing systems is evaluated by different measures available in the literature. The commonly known grouping efficiency measures will be discussed in this paper. None of these measures has the ability to evaluate the efficiency of block -diagonal system and sub-system at the same time. Moreover, sparsity of individual cells was not taken into consideration in these measures. In this paper, a new grouping measure called Comprehensive Grouping Efficacy (CGE) is proposed to overcome the drawbacks of these measures. CGE is tested against some problems from the literature and the results demonstrate the ability of this measure to be used as comprehensive grouping measure since four of the well-known measures are included in the CGE formula. The superiority of CGE is that it can be used to find the efficiency of block-diagonal form, the efficiency of sub-system, sparsity index and efficacy index at the same time, which will give the designer the opportunity to control the cell size. Without knowing the efficiency of sub-systems (individual cells), the system designer will not be able to control the cell size.

Advancements in technology have had a profound impact on the way we learn, teach, and access knowledge. From online learning platforms to interactive educational games and virtual reality simulations, technology has transformed the traditional classroom into a dynamic, engaging, and inclusive space for education. One of the promising advancements in the field of artificial intelligence technology is ChatGPT which offers personalized and effective learning experiences by providing students with customized feedback and explanation. The effect of ChatGPT must be compared with the effect of Google at the educational level since both present a source of information and explanation. Thus, this study aims at investigating the differences between these two learning sources to measure their effectiveness from different perspectives. The model proposed in this study was evaluated using the PLS-SEM approach, utilizing data collected from 153 university students in the UAE. The results of this evaluation indicate that the GPT (Generative Pre-trained Transformer) has a significant impact on user acceptance, mediated by information quality, system quality, perceived learning value, and perceived satisfaction. These factors play a crucial role in determining users' acceptance of the GPT. However, it is important to note that some aspects of the model were not supported, suggesting that they do not have a significant predictive effect on the use of ChatGPT. Nonetheless, the findings of this study contribute to the existing literature on AI and environmental sustainability, providing valuable insights for practitioners, policymakers, and AI product developers. These insights can help guide the development and implementation of AI technologies in a way that aligns with users' needs and preferences while considering the larger environmental context.