The widespread use of knowledge management in a wide range of applications aids in professionally and wisely streamlining the procedure to produce improved outcomes and deliverables. Knowledge management is essential in the construction sector due to the considerable investment, extended deadlines and the need for higher performance efficiency and quality. The usage of BIM in construction projects has simplified the procedures required in building construction. The fundamental motivation behind the creation of BIM was the need to apply knowledge management approaches to make projects more sustainable and compliant with green building requirements. There are various limitations and risks associated with using BIM in construction projects, such as issues with file sharing and data security. This research examines numerous BIM benefits and drawbacks from a variety of angles, providing information and various measures for building the program. BIM adoption in construction projects includes a wide range of benefits as well as drawbacks. The relationship between the variety of information and outcomes was explored using different findings from numerous scientific studies that looked at the use of BIM in the construction sector. Due to the wide range of data that is available in the BIM sector, numerous areas were also found in this study. A thorough analysis was undertaken to present a variety of author viewpoints from various articles. This report's strengths and weaknesses have been noted. It has been demonstrated that BIM has additional benefits, including meeting client expectations, reducing design errors, and achieving project sustainability. However, there are also drawbacks to BIM, including user skill gaps, ambiguous standards and protocols, and transfer data problems. A few studies have addressed some of the research gaps and limitations in some of the domains. Additionally, these regions were thoroughly addressed from many authors' points of view.

The purpose of this research was to analyze the increased performance improvement in the supply chain related to the energy and utilities sector of Jordan through cloud computing, also mediated by knowledge sharing. 150 respondents were analyzed. Research suggests that there was a strong positive relationship between cloud computing and supply chain performance. In addition, cloud computing had a strong and positive correlation with the practice of knowledge sharing. The result indicates that companies with a culture of knowledge sharing among employees were more likely to incorporate the use of cloud computing. The study also indicates that cloud computing adoption had enhanced supply chain performance in the utility and energy sector within Jordan. Therefore, the study also finds that there was a strong and positive relationship between knowledge sharing and well overall performance of supply chain activities. This points to the role that knowledge-sharing practices play in improving the performance of the supply chain within Jordanian utilities and energy sectors. Furthermore, the findings of the mediation study provide strong evidence in support of our hypothesis that knowledge sharing plays a major role as a mediator relating to the relationship between cloud computing adoption and supply chain performance. The observed mediation effect suggests that the positive impact of cloud computing implementation on supply chain performance can be attributed to some extent to its facilitating knowledge exchange practices. However, this research improves the understanding of relationships among cloud computing adoption implementations and information structure flow as well as supply chain performance within Utilities These results emphasize the importance of cloud technologies as information drivers that would lead to enhanced performance in terms of supply chain operations. These are insights that can be used by organizations and businesses aiming at improving their competitiveness and efficiency levels in these sectors.

The objective of this research is to investigate the impact of Artificial Intelligence (AI) on improving the quality of financial reporting in the Islamic banking industry. The study is conducted within the theoretical framework of the Unified Theory of Acceptance and Use of Technology (UTAUT). The study utilized Partial Least Squares Structural Equation Modelling (PLS-SEM) to examine the data collected from a sample of 364 professionals working in the field of Islamic banking. The results of our study suggest that Performance Expectancy, Effort Expectancy, and Social Influence are important factors in predicting individuals' Behavioural Intention to use Artificial Intelligence (AI). Additionally, the presence of Facilitating Conditions further enhances the impact of these factors on individuals' actual Use Behaviour. Significantly, it was shown that Use Behaviour played a significant role in determining the perceived quality of financial reporting. Nevertheless, the study did not find empirical evidence to demonstrate the direct influence of Behavioural Intention on Financial Reporting Quality. This implies that the actual implementation of Artificial Intelligence is required to fully realize its advantages. The use of artificial intelligence (AI) into governance frameworks presents a potentially advantageous pathway for Islamic banks to uphold Shariah principles, while concurrently bolstering accountability and fostering ethical banking practices.

Due to its proactive impact on the serviceability of components in a system, preventive maintenance plays an important role particularly in systems of geographically spread infrastructure such as utilities networks in commercial buildings. What makes such systems differ from the classical schemes is the routing and technicians' travel times. Besides, maintenance in commercial buildings is characterized by its short tasks’ durations and spatial distribution within and between different buildings, a class of problems that has not been suitably investigated. Although it is not trivial to assign particular duties solely to multi-skilled teams under limited time and capacity constraints, the problem becomes more challenging when travel routes, durations and service levels are considered during the execution of the daily maintenance tasks. To address this problem, we propose a Mixed Integer Linear Programming Model that considers the above settings. The model exact solution recommends collaborative choices that include the number of maintenance teams, the selected tasks, routes, tasks schedules, all detailed to days and teams. The model will reduce the cost of labor, replacement parts, penalties on service levels and travel time. The optimization model has been tested using different maintenance scenarios taken from a real maintenance provider in the UAE. Using CPLEX solver, the findings demonstrate an inspiring time utilization, schedules of minimal routing and high service levels using a minimum number of teams. Different travel speeds of diverse assortment of tasks, durations and cost settings have been tested for further sensitivity analysis.

This study aims to investigate the impact of logistic management on maritime transportation Service Performance in Oman. According to the resource-based view theory, firms with an inward organizational focus believe that performance stems from unique resources and capabilities specific to the firm. Based on this premise, successful companies aim to cultivate distinctive capabilities, often of intangible nature, to drive future competitiveness. This descriptive study examines the impact of logistic management on maritime transportation service performance. Based on a non- probability sample of 200 respondents from logistics and maritime transport service companies. The relationship between variables was analyzed using structural calculation modeling. The results showed that five out of the nine hypotheses were all positively and significantly supported (supply to services quality, transportation to cost, transportation to services quality, transportation to time and warehousing to cost). While the relationship between (supply to cost, supply to time, warehousing to service quality, warehousing to time) were not supported. The study focuses on the one maritime service provider in Oman, thus precluding the generalizability of findings to other logistics service or logistics areas.

The increasing complexities posed by green organizational challenges and technological advancements require a thorough grasp of the vital capabilities needed to maintain the firm’s sustainable performance. This study aims to explore the associations of green technological innovation and management innovation to sustainable performance and estimate to what extent digital leadership moderates these associations. The resource-based view (RBV) and socio-technical system theory (STS) are leveraged to conceptualize the research model. By adopting a survey-based approach on data gathered from 419 manufacturing and service firms, the PLS-SEM is the statistical approach conducted to test the validity of predictions The outcomes demonstrated that green technological innovation, green management innovation, and digital leadership are positively linked to sustainable performance. Furthermore, higher digital leadership strengthens the linkage of green technology and management innovation to sustainable performance. The outcomes made a powerful contribution to the current literature on green innovations and digital transformation, and substantial recommendations were inferred for organizations aiming to achieve environmental, social, and economic performance.

The objective of research is to explore the impact of business intelligence systems, artificial intelligence, and digital leadership sustainability on the quality of learning and business performance at business schools of private universities in Jordan. Upon gathering and scrutinizing the research materials, a grand total of 281 samples were judged suitable for analysis using PLS software. The findings of this study suggest that the implementation of business intelligence systems, artificial intelligence, and digital leadership sustainability positively contribute to improving both the quality of learning and the performance of enterprises. The results demonstrate that the implementation of a business intelligence system, and Competitive Intelligence, directly and positively impacts the enhancement of learning quality and company performance. Furthermore, Artificial intelligence has a positive influence on the quality of learning and the performance of businesses, namely through the utilization of Deep learning, Digital Data, Graphical Processing Unit (GPU), and Data Safety and Security. Furthermore, digital leadership sustainability exerts a direct and favorable impact on the caliber of education and organizational achievement, encompassing Digital Competence, Flexibility and Agility, Interconnected Thinking, and Employee Orientation. Furthermore, the findings indicate that the level of education, encompassing Summative Assessment, Formative Assessment, Quizzes, and Presentations, is positively associated with enhancing firm productivity. Curiously, the present results contradict previous studies suggesting that the variables being examined had an influence on achieving digital leadership sustainability and business performance. Generally, the main research outcomes recommend that corporations should start adopting strategies related to enhancing learning effectiveness and improving business performance. This research focuses on the major aspects of business cleverness systems, artificial intelligence, and digital leadership sustainability to enhance the quality of learning and business performance in the business capabilities of private institutions of higher education in Jordan.

This study provides a comprehensive overview of the field of enhancing the customer-supplier relationship through big data technology and artificial intelligence (AI), reveals existing gaps and offers promising solutions for future research. SMART PLS-4 software was used to analyze the data collected, the results led to the existence of significant relationships between artificial intelligence and enhancing the relationship between the supplier and the customer (customer interaction, customer communication, customer participation, customer learning, customer experience, customer feedback). The study contributes to developing a conceptual model through the application of artificial intelligence in managing customer relationships with suppliers in the banking industry. The study contributes to developing a conceptual model through the application of artificial intelligence in managing customer relationships with suppliers in the banking industry setting. Which supports increasing knowledge in this field and helps managers develop appropriate strategies. This research is the first of its kind to organize and discuss the literature related to using artificial intelligence within the customer-supplier relationship management setting, which provides great importance to the process of using and developing artificial intelligence technology and understanding recent trends in how to develop customer–supplier relationships within the technology era.

This paper explores the effects of cloud information systems on the quality of financial reporting within Saudi Arabian enterprises, utilizing the DeLone and McLean Information Systems Success Model as its theoretical foundation. The central inquiry of this research assesses the influence of cloud information systems on the quality of financial data. It hypothesizes a beneficial correlation between these elements. The study involved 203 auditors from Saudi accounting firms, and the findings underscored a significant positive influence of the model's six dimensions on financial information quality. The utilization of cloud information systems appears to bolster financial reporting quality in organizations. This research enriches existing literature by empirically validating the positive effects of cloud information systems on financial data quality in Saudi contexts. Additionally, it underscores the practical utility of the IS Success Model in evaluating the efficacy of cloud information systems in enhancing financial information quality. These insights are particularly valuable for managers and policymakers contemplating the adoption of cloud-based systems to augment their financial reporting processes.

The study relied on analyzing the relationship between several factors that represent technological factors (Technology orientation, Utilizing new knowledge Technology Adoption, Knowledge compatibility, Technological capabilities and Technological collaboration) as independent factors and the level of performance as a dependent factor in medium and small-sized companies in the UAE economy. The inferential approach was followed in the study by analyzing the significance of the sampling results that were reached using structural equations based on the Partial Least Squares method (Pls) using the Smart Plus package, which was used to analyze the path between the six factors as independent factors and the performance factor as a dependent factor. The study applied this methodology to a sample of 250 individuals working in medium and small-sized companies in the UAE economy. The study concluded that the most closely related to performance was Technological Collaboration with an effect size of 72.3%. However, the least related factor was Technology orientation, with an effect factor of 34.4%, while the correlation of the other four factors with performance was medium (between 50% and 63%).