The rapid advancement of technology has substantially impacted numerous sectors, including the banking industry. It is now apparent that the banking industry is affected by the innovative role that the Internet of Things (IoT) plays, which affects a multitude of operations and services. This study uses a quantitative approach and PLS-SEM to investigate the widespread impact of Internet of Things (IoT) technology on the Excel Performance of Islamic Banks in the UAE. The study integrates the Resource-Based View (RBV), Islamic Banking Theories, and Fraud Triangle Theory to create a complete framework. The research's reliability is supported by a sample of 407 replies from 504 participants. The findings strongly support the hypotheses that IoT integration improves Islamic banking performance in the UAE, such as data analytics, customer service, automation systems, fraud detection capabilities, and asset-backed finance, while aligning with Sharia Principles and improving risk-sharing mechanisms. However, the influence of IoT on escalating fraudulent activities and hence negatively impacting performance was not proven. The study emphasizes the importance of IoT in improving operational efficiency and customer satisfaction in Islamic banks in the UAE.

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.

This research has the aim of analyzing the relationship between the supply chain service quality variable and consumer satisfaction, analyzing the use of information technology variable on consumer satisfaction at the Immigration organization. This research method is associative quantitative research and aims to determine the relationship between two or more variables. In this way, we can build a theory that functions to predict and control a phenomenon. The population in this study were all immigration organization employees. In this research, an analysis model is used, namely Structural Equation Modeling (SEM). In this study, the number of respondents was 613 immigration organization customers. The sampling technique used in this research is nonprobability sampling. In this research, the data collection method used was the questionnaire method. The instrument used to measure this research variable is a 5-point Likert scale. Data processing in this research uses SmartPLS software. The stages of data analysis in this research are the outer model test which includes convergent validity, discriminant validity and composite reliability as well as inner model analysis, namely hypothesis testing. Based on data analysis, it is concluded that Supply chain service quality has a positive and crucial impact on consumer satisfaction. The use of information technology has a positive and crucial impact on consumer satisfaction.

In the ever-growing digital era, technology has changed various aspects of human life, including the way governments manage supply chains in procuring goods and services. Digital transformation has opened new opportunities to increase efficiency, transparency, and accountability in procurement in government companies. This research aims to investigate the relationship between digital supply chains and competitiveness and the relationship between digital transformation and the competitiveness of government companies. This type of research is quantitative through survey methods. The population of this research is employees of government logistics companies who are responsible for supply chain processes, have digital activities and implement Enterprise Resource Planning (ERP). The research questionnaire was designed using a Likert scale of 1 to 9, a scale of 1 indicating strongly disagree and a scale of 9 indicating strongly agree. Questionnaires were distributed via social media to 780 employees of government logistics companies related to supply chain processes, respondents were determined using a simple random sampling method. Of the 780 questionnaires that were returned, 570 were returned for analysis. Data analysis uses the partial least square-structural equation modelling (PLS-SEM) method with data analysis tools, namely SmartPLS 3.0. The data analysis stages are reliability, validity and hypothesis testing. The independent variables of this research are digital supply chain and digital transformation. The dependent variable is the company's competitiveness. The results of this research show that digital supply chains have a positive and significant relationship to competitiveness and digital transformation has a positive and significant relationship to competitiveness. By utilizing digital technology optimally, companies can obtain several extraordinary benefits. Among other things, companies will be able to expand markets and increase revenue more effectively. Apart from that, digital technology also makes it easier to monitor business activities, create structured financial reports, and reduce costs, especially in terms of marketing, logistics and shipping.

There are many leadership styles, which have different impacts on employees' performance. In higher education, faculty performance depends on many factors including Leadership style & Organizational culture. This study aims to examine the effect of leadership styles on faculty performance (FP) and more specifically to examine the moderating effect of Organizational Culture in the association between leadership styles and faculty performance in higher education institutions (MUET, Jamshoro). This study used quantitative methodology to identify the leadership styles which exist in MUET, Jamshoro, and their impact on faculty performance with organizational culture as moderator. It used both the sampling techniques probability and non-probability, and the sample size was 384 and the data was analyzed in SmartPLS 3. For leadership style, Full Range Leadership Model was adopted and for organizational culture, Competing Value Framework (CVF) was used. This study found that Transformational (TF) leadership has a positive significant relation with faculty performance at MUET, Jamshoro. And Organizational Culture (OC) as moderator negatively moderates the relation between Laissez-faire (LF) leadership and faculty performance (FP). According to faculty, transformational leadership is best suited to promote their performance on account of giving them challenging work, autonomy, mutual trust, through supporting subordinates' creativity, improving their confidence, and maintaining collaborations. Laissez-faire leadership also exists in an academic institution and has a positive impact on faculty performance. However, Transactional leadership has a negative impact on faculty performance. The future study could be conducted in other universities, or a comparison of leadership styles can be made between public and private universities with different models of leadership style and with different organizational culture models.

The research paper investigates the relationship between financial technology (FinTech) adoption, financial satisfaction, and financial performance among consumers in Jordan. The study uses Partial Least Squares-Structural Equation Modeling (PLS-SEM) to analyze data collected from a sample of 500 SMEs in Jordan. The results of the study suggest that FinTech adoption positively affects financial performance, while financial satisfaction mediates the relationship between FinTech adoption and financial performance. The study also found that financial satisfaction has a significant impact on financial performance, suggesting that customers who are satisfied with their financial situation are more likely to achieve better financial performance. In conclusion, the study provides valuable insights into the role of financial satisfaction as a mediator in the relationship between FinTech adoption and financial performance, highlighting the importance of understanding the factors that influence customer satisfaction and the adoption of FinTech services in the financial industry. These findings have implications for financial service providers and policymakers in Jordan, as well as in other countries with similar economic and social conditions, where the adoption of FinTech is rapidly increasing.

The purpose of this paper is to explore factors affecting career success of graduate students from Ho Chi Minh City Open University in Vietnam. By employing mixed research method with qualitative and quantitative techniques, we first conducted in-depth interview with 20 graduate students to find out factors that can affect their career success, and then quantitative data was collected with a survey of 436 graduate students in Vietnam. We employ Partial Least Squares Structural Equation Modeling (PLS-SEM) with Smart PLS 3.2 software to analyze the collected data. The finding suggests that individual competences, working experience, personal networks and organizational structure were crucial factors that influence objective career success, while individual aspirations and personal networks were important factors for subjective career success. The paper provides important implications for organizations and educational institutions to enhance career success of their workers.

South Korean manufacturers have dealt with supply chain interruptions from the COVID-19 pandemic as many other manufacturers have around the world; however, it seems that some Korean manufacturers are remarkably resilient. Many Korean manufacturers have withstood perilous supply chain dynamism and maintained operational performance without interruption. This study examines the antecedents of supply chain resilience and operational performance to suggest how other manufacturers can develop and maintain continuous uninterrupted operations even amid dynamic supply chains and global disruption. This is an empirical study of South Korean manufacturers utilizing PLS-SEM analysis with mediation effects. This study examines the interrelationships of six variables including, supply chain disruption orientation, management’s intention, digital infrastructure capability, innovation adoption, supply chain resilience, and operational performance. The implications are meaningful for both scholars and practitioners alike. This paper contributes to literature pertaining to both supply chain management and technology assimilation.

This study investigates the impact of internationalization barriers on the export performance of Jordanian small and medium-sized enterprises (SMEs). The aim of this study is to investigate how the export performance of SMEs in the furniture industry is influenced by external and internal barriers and what significance these have for international performance. Based on a quantitative research design, data was collected from 318 small and medium-sized Jordanian companies through a survey. Partial least squares structural equation modeling (PLS-SEM) examined the impact of external barriers, including political, economic, legal and socio-cultural challenges, as well as internal barriers, such as financial, management and market-related barriers, on export performance. However, most barriers - whether internal or external - are domestic and have a greater impact on export performance than barriers from abroad. This study enriches RBV theory in relation to the internationalization of small and medium-sized enterprises by providing evidence that firm-specific resources and capabilities are key factors for SMEs both when they face export barriers and when they achieve better performance in foreign activities. The findings provide practical implications for managers, policy makers and practitioners interested in the internationalization of Jordanian SMEs. An important limitation is the cross-sectional design, one-country context, and self-report in survey research. Future studies are recommended to use a longitudinal design, mediating and moderating mechanisms. This study is innovative as it involves a combined investigation of firm-external and firm-internal export barriers and their effects on the internationalization success of Jordanian SMEs.

Supply chain management (SCM) practices have become strategic resources and capabilities for enhancing both competitive advantage logistic performance (ORGPER). However, it is not clear how SC Practices influence logistic performance in the agribusiness context. However, the mechanism of SCMPs effects is not yet understood since extant literature has produced mixed results. Hence, this study sought to test the impact of mediation of the competitive advantage of relations between SCMP and Reperform the point of view of Kenya's dairy supply chain. The study examined four estimates that were tested using partial minimum square structural equation modeling (PLS-SAME) techniques to work out the purpose of the study. Across-departmental survey design has been used to collect preliminary data from109 dairy cooperatives in thirteen major dairy producing counties in Kenya. The results reveal that SCM practice has a positive and significant effect on CA(P=0.730) and ORGPER (P=0.237). In addition, THERE is a positive, statistically significant effect on THECAORGPER (P=0.522). Further results show that CA mediates the relationship between SCMP and ORGPER. Consequently, the study concludes that SCMPs first generate CA, which in turn enhances ORGPER in a logistic sense. Theoretically, the study provides insights on the resource-based view theory as well as a conceptual framework for its validation. Similarly, the study informs managers and policymakers in knowing specific SCMPs to focus on to enhance CA and ORGPER of the dairy cooperatives in Kenya.