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 investigates the impact of entrepreneurial intentions and competitive factors on sustainable business performance in the exhibition industry. Analyzing recent literature, the research examines how strong entrepreneurial intentions drive the adoption of sustainable practices, innovation, and value creation, while considering the long-term effects of actions. The study also explores the influence of competitive factors, such as innovation capability, market orientation, networking ability, entrepreneurial orientation, and competitive strategies, on an entrepreneur's ability to achieve sustainable performance. The findings suggest that entrepreneurs committed to starting and growing their businesses are more likely to achieve superior financial and non-financial results while contributing to industry sustainability. The study emphasizes the importance of aligning strategies with sustainability goals, developing dynamic capabilities, utilizing competitive intelligence, and leveraging big data analytics to navigate challenges and create value. The research concludes that cultivating strong entrepreneurial intentions and effectively managing competitive factors are crucial for achieving long-term success and sustainable performance in the exhibition industry and beyond.

Incorporating sustainability principles into Supply Chain Management (SCM) has received considerable attention in recent years, with a particular emphasis on Green Supply Chain Management (GSCM), which aims to reduce environmental consequences. Saudi Arabia has launched sustainability initiatives; however, the application of green SCM methods in SMEs in Saudi Arabian manufacturing has yet to be explored. Therefore, this research aimed to empirically assess the effect of GSCM in promoting environmental sustainability in Saudi manufacturing SMEs, focusing on the mediating function of operations analytics. Therefore, this study used a quantitative research technique to discover the link between the study variables—a rigorous questionnaire obtained primary data from managers and team leaders. SPSS was used for descriptive statistics, while SMARTPLS was used for structural equation modelling. The measurement model, path analysis, and indirect impact analysis were used to validate the research constructs and analyze the hypothesized associations. The findings support the evidence of direct positive links between green manufacturing, green business practices, eco-design and environmental sustainability in Saudi manufacturing SMEs. Conversely, no evidence was found to support the function of operations analytics as a bridge between green SCM and environmental sustainability. Although operations analytics can improve green SCM processes, more studies are needed to understand its full impact on environmental sustainability outcomes.

This study examines the moderating effect of trained human capital on the associations of accounting information systems, generalized auditing software, and technology adoption with the performance of external auditors among Saudi listed companies. This study used a survey-based methodology. The final sample consisted of 136 responses with an 8% response rate. Using Smart-PL4 analysis, the results showed that there is a positive correlation between accounting information systems and external auditors. Conversely, a negative relationship between generalized auditing software and external auditors has been documented. In addition, this study reported a negative association between technology adoption and external auditors. However, the results highlight the positive relationship between trained human capital and external auditors. Overall, this study provides valuable insights for accounting and auditing policymakers on how external auditors’ performance is influenced by several factors in the Saudi audit market.

This study examines how corporate governance dimensions relate to financial performance in Jordanian firms and whether ownership structure moderates these relationships. Quantitative analysis was conducted using secondary data on 69 companies listed on the Amman Stock Exchange from 2017-2022. Multivariate regression tested effects of board, transparency, ethics, and compliance indices on performance measured by Tobin's Q, ROA, and ROE. Moderated regression analyzed the contingency role of ownership concentration. Board size, independence, transparency, ethical conduct and legal compliance had significant positive impacts on valuations and profitability, supporting agency and stakeholder perspectives. Ownership concentration strengthened board monitoring but dampened transparency effects. The findings highlight the importance of governance practices like board oversight, disclosure and ethics for improving Jordanian firms' performance. Ownership contingencies suggest adapting governance mechanisms to concentrated structures. This study provides rare empirical evidence on the under-researched Jordanian context. Examining interactive effects of ownership brings new insights regarding concentrated emerging markets.

The blue swimming crabs (BSC) fishing industry in Indonesia is heading towards an imbalance between demand and sustainability of its resources, a factor in supply. The mismanagement of traceability data and information in the supply chain is suspected to be one of the causes adding to the complexity of recent BSC fisheries management. This research aimed to identify BSC supply chain patterns and their issues, especially on two coastal regencies on the North Coast of the Java Sea. The research was conducted during June and December 2023 in Cirebon Regency and Rembang Regency. The study enlisted 70 participants, comprising fishermen, traders, processors, and exporters, with data acquisition facilitated through surveys, interviews, and focus group discussions. Respondent selection employed purposive sampling, while snowball sampling identified pertinent informants within the supply chain. Data analysis encompassed qualitative description and Likert-type scale perception analysis. The findings show that the BSC fishing industry on the North Coast of the Java Sea operates as small-scale fisheries (SSF), with unique vessel types, gear, and socioeconomic conditions crucial for livelihoods. Fishermen prioritize sustainability by using small vessels and traditional gear despite limited education. The BSC supply chain involves stakeholders offering high-value products, yet by-product utilization potential is untapped, requiring improved coordination and innovation. Challenges include export standards, market fluctuations, and product safety, addressed through regulatory support and collaboration. Government regulations, fishermen groups, and data traceability enhance market transparency and sustainability. Therefore, collective action and innovative approaches are vital for long-term economic prosperity and environmental stewardship in the BSC supply chain.

With globalization and the expansion of cities, the movement of goods and people has significantly increased, both economically and socially. This sector serves as a vital component of any economy, fostering economic and social development. However, its detrimental effects pose significant challenges for countries seeking to pursue sustainable development policies. Being one of the most energy-intensive sectors, it emits greenhouse gases and pollutants, contributing to environmental degradation and noise pollution. While increased traffic and mobility offer benefits, they also strain resources and lead to higher energy consumption. The primary objective of this article is to assess the sustainability of freight transport in the Moroccan city of Fez and propose supportive solutions for various stakeholders in urban logistics. This involves examining the complex relationship between different factors and the sustainability of Urban Freight Transport (UFT), including accessibility, congestion, road occupancy, environmental impacts, health impacts, and road safety. The research data were collected from 100 managers and employees of logistics and transportation companies in Morocco. Structural equation modeling was utilized to test and confirm the hypotheses and the research model. The results of these analyses demonstrated a positive impact relationship between the various factors and the sustainability variable. Subsequently, we suggest the establishment of delivery areas and an urban distribution center as two sustainable logistics solutions. The analysis and its findings can be applied to any other city.

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.

Human abilities are the primary factors that define the path of the corporation's improvement; these capabilities can be improved via training, experience, education, and innovation. Therefore, the current study delves into the impact of different leadership styles on marketing effectiveness and corporate financial performance through the role of corporate social responsibility as a mediator by utilizing a Partial Least Squares Structural Equation Modeling (PLS-SEM) to research 100 managers in 2023 in Jordanian banking sectors. The result of this study has shown a significant and positive relationship between leadership styles, marketing effectiveness, and financial performance. Furthermore, social responsibility, which is the mediator of the study, shows a significant role in the connection between leadership styles and marketing effectiveness as well as financial performance in banks. Minutely, this study found that transformational style promotes an innovation culture and inspires employees in the banking sector, in other words, this style of leadership emphasizes corporate social responsibility programs that support the bank and society's objectives.

To mitigate global environmental impact, the textile industry must integrate environmental innovation and operational efficiency. This research delves into the influence of Green Innovation (GIV) and Green Ambidexterity (GAD) on the attainment of Green Competitive Advantage (GCG), with a specific focus on the crucial role played by Green Resilient Supply Chain (GRC) that prioritizes sustainability. The study employs a cross-sectional explanatory survey method, drawing data from 150 textile companies in Indonesia. To comprehend the dynamic relationships between the variables at hand, the study adopts the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The findings demonstrate that Green Ambidexterity and Green Innovation directly enhance Green Competitive Advantage while also indirectly contributing through the establishment of Green Resilient Supply Chain. These results affirm that sustainable practices and Green Innovation are pivotal components of business strategies that align with regulatory and social expectations and bolster firms' competitive positioning. The implications of this study offer valuable insights for stakeholders, enabling them to formulate strategies that incorporate sustainability aspects into their business operations to achieve optimal outcomes in a fiercely competitive market context.