The purpose of this research is to investigate the influence of supply chain management methods on competitive advantage in Saudi Arabian manufacturing firms, with a particular emphasis on the function of information sharing quality as a moderating variable. The data received from a sample of Saudi manufacturing enterprises were analyzed using a structural equation modelling technique. According to the findings, customer relationships, the level of information sharing, and strategic supplier partnerships all have strong beneficial impacts on competitive advantage. However, the influence of information sharing quality alone on competitive advantage was shown to be statistically negligible. These results emphasize the necessity of developing strong customer relationships, encouraging effective information exchange procedures, and creating strategic collaborations with suppliers to gain a competitive edge. The research adds to the current literature by providing insights unique to Saudi Arabian industrial firms. The results are important for managers and decision-makers developing competitive supply chain management strategies. Future studies may investigate other factors and dimensions, as well as perform longitudinal studies, to better understand the structures of supply chain management and competitive advantage in the Saudi context.

This research investigates the links between information quality, service quality, system quality, and supply chain performance in Saudi Arabia's manufacturing sector. The goal is to provide insights into the elements that impact supply chain outcomes and to identify critical performance drivers. Data was acquired from a sample of manufacturing organizations, and the correlations were analyzed using a structural equation modeling technique. Information quality, service quality, and supply chain performance are all shown to have substantial positive correlations. Higher levels of information quality and service quality relate to enhanced supply chain performance in the manufacturing sector. However, system quality was shown to have a comparatively smaller influence on supply chain performance, suggesting that investments in information management systems and service delivery methods may offer higher returns. The reliability and validity of the measuring scales employed in this research were evaluated and determined to be strong, assuring the precision and consistency of the findings. These results add to the current research by identifying the unique elements that influence supply chain performance in Saudi Arabia's manufacturing sector. The study has many implications for practitioners in the manufacturing sector as it discusses the significance of investing in information management systems, providing high-quality services, and continually evaluating and improving supply chain performance. Organizations may improve their competitiveness and create better supply chain results by concentrating on these areas. Additional elements and possible moderating or mediating variables may be investigated in future studies to acquire a better knowledge of the dynamics that impact supply chain performance. Overall, this research offers significant insights for practitioners and decision-makers in the manufacturing industry, directing them towards more appropriate methods to maximize supply chain performance and achieve long-term success.

The purpose of this study is to analyze the relationships between supply chain leadership and reverse supply chain performance, government policy and reverse supply chain performance, and finally, government policy and supply chain leadership. The research methodology is analytical, namely survey research that aims to collect, compile, analyze, interpret, and finally draw conclusions. The approach used is quantitative, which includes the development of an empirical model and its measurement based on theoretical studies. Research respondents are managers who are responsible to manage the reverse supply chain operations such as supply chain, warehouse, transportation/distribution, production, planning and control of production and inventory planning and control, procurement, and marketing in manufacturing companies. The research data was obtained by distributing online questionnaires to 560 supply chain managers of manufacturing companies who were determined using the simple random sampling method and the questionnaires were designed using a Likert scale. Data analysis used structural equation modeling (SEM) with SmartPLS 3.0 software tools. The stages of data analysis are validity test, reliability test and hypothesis testing. The results indicate that supply chain leadership had a significant effect on reverse supply chain performance, government policy had a significant effect on reverse supply chain performance and, finally, government policy had a significant effect on supply chain leadership.

This study aims to analyze and examine the effect of leadership on small and medium enterprise (SMEs) green supply chain performance, the effect of organizational pressure on SMEs’ green supply chain performance and the effect of the environment on green supply chain performance of the SMEs. The research method is a quantitative method, data analysis uses structural equation modeling (SEM) with SmartPLS 3.0 software tools. The population of this study is internal auditors who have experience in cyber security and information technology. The sample for this study was 490 respondents of SMEs owners who were determined by the snowball sampling method. The research data was obtained from an online questionnaire which was distributed via social media. The questionnaire was designed using a Likert scale of 1 to 6. The stages of data analysis were validity test, reliability test and significance test. The results indicate that leadership has a positive and significant effect on the performance of the green supply chain of SMEs, organizational pressure has a negative and significant effect on the green supply chain and the environment has a positive and significant effect as well. Improving SMEs' green supply chain performance requires increased leadership, reduced organizational pressure and an improved work environment. This study generates a leadership relationship model on green supply chain performance, organizational pressure on green supply chain performance and environment on green supply chain performance.

The epidemic of the COVID-19 has spread rapidly worldwide. This phenomenon has changed people's lifestyles as well as business activities. Many businesses are unable to operate normally, which is caused /or affected by supply chain disruption. Therefore, supply chain resilience after the COVID-19 pandemic is essential to maintaining the liquidity of businesses and increasing supply chain efficiency. This research aimed to examine factors influencing supply chain resilience and construct a structural equation model for supply chain resilience after the COVID-19 pandemic in Thailand's industries. A research framework was developed according to previous literature in the context of supply chain resilience. Five constructs, namely Technology, Flexibility, Collaboration, Agility, and Supply chain resilience, with seven hypotheses were established. A questionnaire survey was developed from the research framework and previous literature. Then, the validity and reliability test of the questionnaire were performed with the Index of Item Objective Congruence (IOC) technique and Cronbach’s alpha, respectively. The data was obtained from 426 business organizations in both the industrial and service industry in Thailand. The structural equation model (SEM) technique was conducted to examine the relationship between constructs. The results revealed that agility was only a factor that directly influenced supply chain resilience, while technology had an indirect effect on it via agility. However, technology has had direct effects on flexibility, agility, and collaboration.

This research examines the influence of an agile supply chain strategy (ASC) on supply chain performance (SCP) within Jordan's retail industry. The study focuses on the intermediary role of SCP. Data was gathered from senior and executive management personnel responsible for supply chain functions in 37 retail companies in Jordan. The collected data was analyzed using confirmatory factor analysis and structural equation modeling to assess the proposed model. The results indicate that SCP, specifically strategic partnerships with suppliers and customer relationships, act as mediators between the ASC strategy and supply chain performance. The study offers practical recommendations derived from the findings to assist retail sector managers. These findings contribute to the understanding of how an agile strategy can enhance supply chain performance in the Jordan retail sector.

In the COVID-19 era, green consumption has risen into a global trend, leading beauty products to be more environmentally friendly to satisfy these new consumers’ needs. However, not every natural beauty brand, especially natural cosmetic products, survived in the market. This study aimed to examine the cause and effect of a phenomenon of storytelling marketing strategies on the public's purchase intention for cosmetic products made from natural ingredients. The literature study showed that the relationship between storytelling and purchase intention is somewhat inconsistent. As a countermeasure and study gap, this study implemented product innovation as a mediating variable. This research was carried out quantitatively in Jakarta, Indonesia. Data used in this study was primarily obtained through questionnaires in 2021 and judgement sampling of 200 respondents. The data were tested using Structural Equation Model Partial Least Square (SEM-PLS) models’ technique on SmartPLS 3.0. The results showed that storytelling positively increases natural cosmetic purchase intention through product innovation.

The problems influencing the service quality of Lion Parcel Halim Perdana Kusuma Jakarta were that the delivery time needed to be by the delivery receipt and that there needed to be a complete list. This research aimed to know and analyze the service quality and the direct and indirect influence of delivery cost on customer satisfaction through timeliness. The population used in this research was the customers of Lion Parcel Halim Perdana Kusuma Jakarta, with a sample of as many as 139 respondents. The technique of data analysis used was Structural Equation Modelling with the approach of Partial Least Square. The key finding of this research was that customers considered the service quality of Lion Parcel could be better, making them dissatisfied with the quality of service delivered by Lion Parcel. Whereas the service quality and delivery cost directly influenced, timeliness and timeliness influenced customer satisfaction. It was also found that timeliness indirectly and significantly mediated the influence of service quality and delivery cost on customer satisfaction.

Quality management has become inevitable and ubiquitous in higher education, especially given the increasing competition in both industry and professional orientation. To date, there has been no broad consensus about the trends and determinants in this field despite research existing for several decades now. Experts disagree on the use and impact of quality management systems in higher education, and there is a considerable geographical disparity in terms of the progress made in the field. In this article, a bibliometric analysis consisting of data from 966 articles from the Web of Science database (scanned extant literature) was to identify the most pertinent papers, sources, authors, countries, publication dynamics, and themes. It reveals a comprehensive quality management assessment in higher education. It also revealed the most prominent role of service-quality leadership in current research and quality culture, training, performance, and improvement techniques as the areas relevant for future research. Several countries need to refocus their effort on improvement in quality training and the impact of quality management in the higher education context.

The objective of this study was to showcase the influence of Business Intelligence (BI) tools, such as Online Analytical Processing (OLAP), Extract, Transform, Load (ETL) processes, Data Mining (DM), Relational Database Management Systems (RDBMS), and Document Management Systems (DMS), on maintaining the quality of financial reports in Jordanian commercial banks listed on the Amman Stock Exchange. Two approaches were employed to achieve the research objectives: a descriptive-analytical approach involving the development of a questionnaire to gather primary data on the independent variables associated with BI tools (OLAP, ETL, DM, RDBMS, DMS), and an applied approach to evaluate the dependent variable represented by the sustainability of financial report quality, utilizing the financial statements of commercial banks listed on the Amman Stock Exchange from (2016 to 2021). Data analysis and hypothesis testing were conducted using statistical software (SPSS) through multiple regression analysis. The results of the statistical data analysis and input from the research community indicated that the sustainability of financial report quality, as a valuable asset for banks, relies on the utilization of Business Intelligence tools. IT professionals in commercial banks perceive a statistically significant impact of BI tools on maintaining the quality of financial reports. Consequently, the management of commercial banks listed on the Amman Stock Exchange should prioritize the effective utilization of Business Intelligence tools, as their potential lies in aiding the accounting process to achieve its objectives, which ultimately contribute to the sustainability of financial reports. By employing these tools accurately and efficiently in accounting practices, all stages of the accounting process can be influenced, enabling the transformation of available data into information that benefits decision-makers both internally and externally within the banking environment.